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                    <text>Journal of Foreign Language Teaching and Applied Linguistics

Evaluating ESL Students’ Creativity in Writing
Arta Toci
South East European University, Macedonia
Submitted: 15.04.2014.
Accepted: 19.11.2014.

Abstract
Writing as a productive skill isan integral part of the language-learning process.
However, students do not consider writing an easy skill to learn and many ESL
teachers certainly consider it a difficult skill to teach.Creative writing normally refers
to the production of texts that have an aesthetic rather than a purely informative,
instrumental or pragmatic purpose. Creative writing in ESL classes has started
developing lately, but only to be incorporated as a supportive skill in teaching
writing.Responding to students’ writing is an important issue to discuss when
considering teaching creative writing. Response is a process that includes peer
review, peer editing and continuous feedback through the stages of creative writing.
By providing constructive feedback, the teacherunderstandsa writer’s problems and
intentions by making students responsible for finding and analyzing what needs to be
improved.
Key words: teaching, writing, creativity, feedback, assessment

Introduction
Writing as a productive skill is an integral partof the language-learning
process.However, students do not consider writing an easy skill to learn and many
ESL teachers certainly consider it a difficult skill to teach.According to Reid (1993),
many ESL teachers only used writing as a skill to support language learning. This
assumption led them to think that writing could be useful as a technique for adding
interest or as a testing device for assessing grammar errors. Nowadays, writing has
become an important communicative skill as a result of researchin this field. ESL
teachers have come to recognize writing as a skill that is equal to other integral
language-learning skills and many of them have investigated different approaches to
writing.

The importance of writing in EFL classes
31

�Evaluating ESL Students’ Creativity in Writing

Like speaking, writing is a key to academic language success.From an early age,
students acquire second languagesthrough words, and thencontinuing with sentences,
paragraphs and longer papers.They encounter difficulties because most students find
it hard to express ideas even though they have basic language knowledge. When
taking on a writing assignment, students have little confidence, which leads to
different preconceptions and stereotypes about writing. This problem has been a
topic for discussion among many language teachers and researchers due to the great
importance of writing in language learning. “Each time I am assigned a paper I stuck
in my breathas if I had to move a hundred-pound stone from the entrance to my
apartment in order to go on living” (Bishop, W., 1990, p.26).Anxiety makes students
reluctant to engage themselves in the writing process. The fear of not doing
everything right makes them step back and teachers miss out on what students really
know. If students are free to express themselves, teachers will be able to see what
they know and what they need to learn in order to improve.
There are many contradictory opinions on whether controlled instruction should be
the prevalent method for teaching writing or ifcreative writing techniques should take
over. A group of researchers would prefer to use them interchangeably even though
they might prefer one to the other. Having looked at different researchers’ views in
this area of study, we teachers can decide to choose which instruction methodis the
most useful and fruitful in teaching writing. It is crucial to bear in mind what writing
really is and how we can enhance learning through the instruction of writing. “The
view of writing as a tool for learning and not just a means to demonstrate learning is
one of the major contributions of the research into the writing process” (Elbow,
1998). Therefore, if students are given the opportunity to use the target language in
order to build their capacities to write, they will surely acquire the language at the
same time.

Defining creativity in writing
The traditional approaches to writing have had a great impact on both teachers’ and
students’ beliefs about how to teach and learn writing. Despite the fact that many
researchers have reported positive results from usingcreative writing techniques,
many teachers have been reluctant to adoptthis method in the classroom. It must be
noted that creative writing existed in theory long before it started to be used in
practice. Considering that creative writing differs in many ways from traditional
methods of teaching writing, it has been considered a challenge and an unfamiliar
method that does not take into account important elements such as accuracy and
precision.

32

�Journal of Foreign Language Teaching and Applied Linguistics

The movement from controlled to free or guided writing started in the early 1980s
when teachers decided to embrace this new methodology (Reid, 1993).Creative
writingas a writing methodology is characterized by the free expression of thoughts
and ideas in a supportive and constructive classroom environment. It is also referred
to as expressive or creative writing. This approach focuses on enhancing students’
ability to express their creativity and to genuinely practice writing in an anxiety-free
atmosphere. Techniques that demonstrate the above-mentioned characteristics of
creative writing include: writing a paragraph by describing a person or a place;
writing a short story; writing an informal letter to a friend or a report about
something you have read; writing about a given topic; and writing by describing a
picture. Moreover, there have also been discussions about creative writingas a way of
boosting critical thinking. Major (1994) has argued that creative writing activities
actually improve critical thinking since they are based on students’ personal and
emotional state, which gives them a sense of motivation. Elbow (1998) also supports
the use of creative writing by giving arguments for its general application and even
recommending it for freshman writing courses, saying that students “need to practice
nonacademic writing”.

Evaluating creativity in writing
“Feedback has long been regarded as essential for the development of second
language (L2) writing skills, both for its potential for learning and for student
motivation.”(Hyland, K. &amp; Hyland, F., 2006, p.83). Giving the wrong feedback may
discourage students’ progress in creativity and decrease their creativity. Responding
to students’ writingshould be seen as a process in itself and proper attention should
be given to its importance in their language-learning progress. In most cases, a piece
of writing is analyzed as a final product and the main focus is on error correction.
However, language teachers face a permanent question: Does error correction
always help to improve students’ writing in L2? “One line of argument, influenced
by process theories, claims that feedback on error to L2 students is discouraging and
generally fails to produce any improvements in their subsequent writing.”(Hyland, K.
&amp; Hyland, F., 2006, p.84). However, a considerable number of researchers claim the
opposite.
Feedback is considered a much more difficultapproach to evaluating creative
writing.This is because an idea that one person considers creative may not be seen as
such by another person. Another problem in measuring creativity is avoiding
subjectivity and choosing the right criteria. “Self-report measures of creativity and
global assessments of students’ creativity by others (such as teachers) have also
failed to demonstrate sufficient validity to be trusted for most uses.” (Baer, J. &amp; Mc
Kool, Sh., 2009, p.2)
33

�Evaluating ESL Students’ Creativity in Writing

Giving feedback on creative writing is thought to be very difficult since not everyone
rates creativity in the same way. In addition, it is human nature to render judgments
based on feelings, and a work that changespeople’s feelings is considered
worthier.To better illustrate this idea, Kaufman, Christopher &amp; Kaufman, (2008)
claim:
It may be the case, then, that we make judgments of a set of work based
upon the pieces that made us ‘feel’ the most. If we attach an emotion to a
piece of poetry, then we should be able to remember that piece better
and, further, to use it as an anchor for our judgments of other works by
that artist. (p. 3).
What to focus on when giving feedback on creative writing? Thisis the hardest part
for language teachers. Creative writing positively affects language expression
through writing, which leads to a better general performance in that language.
Students need to have access to this writing approach, which seeks to be aesthetic
and at the same time offers relaxation for both the reader and writer. Whether
approached in a traditional way or in a contemporary one, the teachers’ main aim
should be to help their students progress in their language learning. With a lot of
care, they should offer feedback so that students can see their strengths and errors
and continue striving for optimal performance.

The research
This study was conducted among 25third-year students at the English department at
South East European University in Tetovo. Participantswere givenassignments such
as writing a letter, writing a short story, writing by using pictures, etc. All of the inclass activities mentioned above were used according to creative writing techniques
and no error correction was provided. The teacher’s role during the course of these
activities was to be an observer, a supporter and a guide or a prompter. Students
received more peer feedback rather than teacher feedback during the in-class
activities. As a result of their group and peer work, students were giving comments to
each other related to the structure of ideas and the choice of vocabulary. Students
received feedback from the teacher after they read what they had written. The teacher
feedback included appraisal for the good and strong points of the writing task and
suggestions for improvement on the weaker points. It did not include error correction
or correction related to mechanics. The students were evaluated ontheir progress in
the following categories: Introduction, support, organization, vocabulary and
sentence structure, and grammar and spelling.

34

�Journal of Foreign Language Teaching and Applied Linguistics

Students’ assignments were collected every week. After each class the students
received feedback from the teacherbased upon the following criteria:
Table 1. Evaluation criteria adopted from ‘The HOT Writing Rubric’ developed by
Project Zero at Harvard University and by the Composition Program at the
University of California, Irvine.
Criteria

5

4

3

2

1

0

Creative
Writing

Excellent use
of
imagery;
similes; vivid,
detailed
descriptions;
figurative
language;
puns;
wordplay;
metaphor;
irony.
Surprises the
reader
with
unusual
associations,
breaks
conventions,
and
thwarts
expectations.

Some startling
images, a few
stunning
associative
leaps with a
weak
conclusion or
lesser, more
ordinary
images
and
comparisons.
Inconsistent.

Sentimental,
predictable, or
cliché.

Borrows
ideas
or
images from
popular
culture in an
unreflective
way.

Cursory
response.
Obvious lack of
motivation
and/or
poor
understanding of
the assignment.

No
response.

All three drafts submitted by the students were analyzed according to the analytic
scale in order to tracktheir progress through the workshop. Detailed results from
drafts are shown in Figure 1. The following figures will show students’ progress
throughout the drafts in five categories as separate units and throughout drafts as
whole essays.

35

�Evaluating ESL Students’ Creativity in Writing

Chart 1: Draft results for all five categories
10
9
8

grading scale

7
6
5

Draft 1
Draft 2

4

Draft 3

3
2
1
0

Vocabulary
Organization and sentence
structure

Grammar
and spelling

Introduction

Support

Draft 1

3.12

3.92

3.2

3.84

4.48

Draft 2

5.36

6.08

5.68

5.76

6.48

Draft 3

6.32

6.56

6.8

7.28

7.84

As shown in Figure 1, students’ introductions scored an average of 3.12 inthe first
draft. In the second draft, the average score improved to 5.36. Students showed
additional progress in the third draft, with the average score rising to 6.32. In other
words, the writers made significant progress between their first and second drafts,
with the average score improving by 2.24, whereas the improvement between the
second and third drafts was slighter at about 0.96. The overall average increase from
the first to the thirddraft was 3.2.
In the category of support, students’ performance in writing the first draft was
evaluated at an average of 3.92 out of 10. Students’ ability to support their essays
improved significantlyby the second draft, where they scored an average of 6.08.
However, their progress slowed between the second and third drafts, where the
average score was 6.56. In other words, the average score rose 2.16 points between
the first and second drafts, while the improvementbetween the second and third
draftswas just 0.48. Even though the progress between the second and third draftswas
not significant, it must be noted that the difference between the first and third drafts
was 2.64, which is a considerable success.

36

�Journal of Foreign Language Teaching and Applied Linguistics

In the category of organization, students scored an average of 3.2 in the first draft.
The second draft showed a considerable difference, with the average rising to 6.68. A
slighter difference was detected between the second and third drafts, where the
average score was 6.8. Nevertheless, students’ progress in organizing their essays
from the first draft to the second showed a very significant difference of 2.48, while
the third draft improved on the secondby just 1.12. It should also be noted that in all
three categories discussed so far, students made greater progress between their first
and the second drafts than between their second and third drafts. In the organization
category, total progress between the first and third draftswas 3.6, which is higher
than the total improvement in the first two categories, especially support.
Vocabulary and sentence structure is the fourth category that was analyzed in the
three student drafts. In the first draft, students’ performance with respect to the
vocabulary they used and their sentencestructure resulted in an average of 3.84. The
second draft showed an average increase to 5.76, while the students’ average scores
rose to 7.28 in the third draft. In this category, students’ progress between the three
drafts was more equal than in the first three categories. There was a difference of
1.92 between the first and the second draft, while the progress between the second
and the third drafts showed a difference of 1.52. The overall progress from the first
draft to the last one in this category was 3.68, slightly higher than the total progress
in the organization category.
The fifth category, grammar and spelling,presented the following outcomes:The
average score in the first draft was 4.48 – the highest first-draft average in all five
categories. The average scoresin the second and the third draftswere 6.48 and 7.84,
respectively. The difference between the first and second draft was 2 points, whereas
the difference between the second and the third drafts was 1.36. Overall, students’
scores improved by 3.36 points between the first and third drafts, which is
approximately the same as theirrate of progress in the introduction category.

Conclusions
The findings of this research not only reflect the expected outcomes,but also provide
insight into some interesting points with respect to writing instruction. Research on
students’ progress in writing has been an issue for decades and has covered many
important aspects of writing. The interpretation of the findings is similar to the
results of some research projects, but different from others. This may reflect the
different nature of the sample that each researcher uses.
The results of this research point toa need for other related studies. If EFL students
respond positively to creative writing instruction, it would be interesting to find out
whether adult students of English as a foreign language respond in a similar manner.
37

�Evaluating ESL Students’ Creativity in Writing

Other in-depth investigations into feedback and its effects on language
learningmightprovide more interesting insights on the proper way to respond to
student writing.
Teachers and educators should practice creative writing so that students can produce
a ‘self work’.
The outcomes of teaching creative writing are enormous for language learners. In
addition to practicing new vocabulary, students practice structure deductively and at
the same time concentrate on the content.
Writing drafts and peer feedback are closely connected to the final evaluation.
Teachers have the main say when evaluating creative writing. Using an evaluation
chart is helpful both for the teacher and the student writer.
This study answers several questions. Clearly, creative writing makes students better
writers. This does not mean that students who practice creative writing are able to do
well in other writing approaches, but it helps in creating writing habits.
Creative writing is also an approach to writing that finds a good place in
literature.Creative writing, also known as a poetic or artistic writing, can help
students become better writers.

References
Baer,J. &amp; Mc Kool, Sh. (2009). Assessing creativity using the consensual
assessment technique. USA, IGI Global.
Black, Paul and Wiliam, Dylan (1998). Assessment and Classroom Learning.
Assessment in Education: Principles, Policy &amp; Practice, Vol. 5. Issue 1. pg.
7-74. Print
Bishop, W.(1990). Released into a language: options for teaching creative
writing. Printed in USA, National Council of Teachers of English
1111Kenyon Road, Urbana, Illinois 61801.
Elbow, P. (1991).Reflections on Academic Discourse: How It Relates to Freshmen
and Colleagues. College English, Vol. 53. No. 2. pg. 135-155.
Elbow, P. (1998). Writing without teachers. New York City: Oxford
University Press, Inc.
Emërllahu,
D.(1998).
Bazat
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MetodikëssëPunësEdukative
FakultetiiMësuesisëiUniversitetittëPrishtinës.
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Harasim, L.&amp;Hiltz, S. R. &amp;Teles, L. &amp;, Turoff, M. (1997) A field guide to
teaching and learning online;Learning Networks. London, England:The
MIT Press, Cambridge, Massachusetts.
Hyland, K. &amp; Hyland, F. (2006) Language Teaching. Feedback on second
language students’ writing.USA:Cambridge University Press. Retrieved on
March
25,
2014
from:
http://epi.sc.edu/ar/AS_4_files/Hyland%20and%20Hyland,%202006.pdf
Kaufman, S. B. &amp; Christopher, E.M. &amp; Kaufman, J.C. (2008). The Genius
Portfolio: How do poets earn their creative reputations from multiple
products.Empirical Studies of the Arts, Vol. 26. No.2. pg.181-196.
Retrieved on 27 March 2014 from: http://scottbarrykaufman.com/wpcontent/uploads/2011/06/Kaufman-Christopher-Kaufman-2008.pdf
Leki, I. (1998). Academic writing-Exploring processes and strategies, New York
City: Cambridge University Press
Lillis,

Th. M. (2001). Student Writing: Access,
London:Routledge 11 New Fetter Lane, EC4P 4EE.

Regulation,

Desire.

Langan, J. (1997).College writing skills with readings (4th Ed.) United States of
America: McGraw- Hill Companies, Inc.
Major, W (1994). Freewriting: A Means of Teaching Critical Thinking to College
Freshmen.
Retrieved
on
April
3,
2014
from:
http://grammar.ccc.commnet.edu/grammar/composition/major_freewritin
g.htm
Oshima, A. &amp; Hogue, A. (1998). Writing Academic English. New York City:
Addison Wessley Longman.
Reid, J. M. (1993). Teaching ESL writing. United States of America:Prentice Hall
Regents
Steinberg, M. (2000) Peninsula: Essays and Memories from Michigan. Michigan:
Michigan State University Press

39

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                    <text>Evaluating of Total Antioxidant and Total Oxidant Capacities in
Organic and Non-Organic Apples and in the Blood of Their Producers
Serdal ÖĞÜT1
Mümin POLAT2
Erdoğan KÜÇÜKÖNER3
1,2Suleyman Demirel University, Faculty of Medicine, Blood Bank
3Suleyman Demirel University, Food Engineering

Abstract: In this study there are two aims determined. Initially, the total
antioxidant, and oxidant capacities will be compared in apples which are
produced by using the pesticides including various effective chemicals and the
apples produced in an organic way by using natural animal fertilizers and
commercial organic fertilizers. Secondly, the antioxidant, and oxidant
capacities of the workers’ blood samples who are applying the pesticides, and
the ones who are working in producing the organic apples.
The total antioxidant, and oxidant capacities of the blood samples taken from
30 workers who were applying the pesticides, and 30 workers who were
producing the 30 organic apples at least for 3 years, and of the apples they
produced were analysed.
The total antioxidant and oxidant capacities were measured using direct
measurement kits for spectrophotometry.
As a result of the spectrophotometric analyses, no significant difference
(p&gt;0.05) between the total antioxidant, and oxidant levels of the organic and
non-organic apples was determined. Besides, the antioxidant capacity of the
workers applying the agricultural chemicals in producing the apples showed a
significant decline compared to the workers who were producing the organic
apples (p&lt;0.05). In addition, the oxidant capacity of the workers applying the
agricultural chemicals in producing the apples showed a significant increase
compared to the workers who were producing the organic apples (p&lt;0.05).
These results indicate that pesticide applications do not cause a change in the
total antioxidant, and oxidant capacities of the apples. However, the workers
who are applying the pesticides can be affected negatively by these chemicals,
in the mean of the decreased total antioxidant capacity, and increased total
oxidant capacity.
Keywords: Pesticides, organic apple, non-organic apple, total antioxidant
status (TAS), total oxidant status (TOS).

Introduction
Today in Turkey the use of chemicals and chemical fertilizers although not yet as high as in European
countries, the amount is not to be underestimated. The amount of chemical fertilizer used in our country 1-4
kg / ha, but ranged in total 9.8 million tons / year at the level (1).
Ecological conditions suitable for organic production and a large production potential of our countries,
organic produce and food market share in the world, unfortunately, is too low (2). However, organic
agriculture in Turkey is increasing every year, around 20% (3).
62

�Isparta, Karaman, especially to our country and in many provinces are in intensive apple production.
Appropriate in terms of the Isparta ecology of apple cultivation and has considerable potential. In Turkey,
nearly one-fifth of the apple offered for consumption are produced in Isparta (4). Plant-origin food
consumption as a result, only the important antioxidant vitamins (vitamins C, E, A), but also the
antioxidant properties of natural compounds as well (flavanoller, catechin, flavonoids, etc.), nutrition can
assure you. Recent studies showing the antioxidant activity of substances that occur because of oxidative
stress, cataracts, cancer, cardiovascular diseases, neurological diseases, such as playing a significant role in
the prevention of many degenerative diseases has revealed that (5–7). Apples, contain phytochemicals that
have powerful antioxidant activity. A large part of these phytochemicals are phenolic components. Phenolic
components of apple flavonoids; flavonoller (quercetin and glycosides) that are specific only to Apple
dihidrokalkonlar (floridzin and floretin) is composed from. Most of the other phenolic compounds
chlorogenic acid in apples are (8–10). Pesticides in our country use every day increases, but the
practitioners' (producers, workers, or paid agents make those), drug preparation and during application take
precautions not or extra doses of medication to do because of some health and environmental problems
arise. Isparta in terms of agricultural workers in the state is consistent with our country's problems (11).
Agriculture in the widely used pesticides, hydrogen peroxide (H2O2), superoxide (O2) and hydroxyl radical
(-OH) as reactive oxygen species formation or by causing oxidant and antioxidant capacity changes may
cause. These radicals can react with biological macromolecules such as enzyme inactivation, and can also
cause DNA damage (12).
Two targets have been identified in this study. The first of these goals, and pesticides with organic apple
production in the total antioxidant capacity (TAC) and total antioxidant capacity (TOC), and the second in
the TAC that the blood of persons producing apples and compare TOC.

Materials and Methods
Apple samples in the study due to Isparta Gelendost within the boundaries of the district were collected
from apple orchards. The blood samples, taken from the person who produced these apples. This purpose,
the pesticides used (diazinon, chlorpyriphos, thiacloprid, phosalone, methidation, deltamethrin,
cypermethrin, Carbaryl, 98% copper sulfate) produced 30 apple samples and these apples for at least 3
years use pesticide that 30 person's blood taken. 30 apple producers also produced by means of the organic
(natural organic manure and commercial fertilizers), 30 samples with Apple is that Apple produces at least
three years, 30 people were taken from the blood. An evaluation questionnaire to participants in the study
was performed, and those with any chronic illness, or non-alcohol-dependent individuals are not included
in the study. Apples used in the study, the average weight of 140 g apples Starking are denominated.
Apple in the blood in the TAC and TOC values in 2004 and Erel (13, 24) developed by the TAC and TOC
direct measurement kit using [(Total antioxidant status (TAS), total oxidant status (TOS) - Rel AssayTurkey)] spectrophotometrically determined.
Erel TAC test (13), a technique developed by the fully automated and powerful body against free radicals is
a method for measuring the total antioxidant capacity. Fe2 +-o-dianisidine complex with hydrogen
peroxide by Fenton-type reaction generates OH radicals. This powerful, low pH, colorless reduced reactive
oxygen species react with o-dianisidine molecules to yellow-brown dianisidin radical form. Dianisidin
radicals advanced oxidation reactions by participating in the formation of color is increasing. However,
examples of antioxidants that stop the oxidation reaction suppressed the formation of the access to the
colors. Automated analyzers used in this reaction results are given as measured spectrophotometrically.
Traditionally used as a standard of the water soluble vitamin E analogue, Trolox was used, and the results
mmol Trolox equiv. / L is expressed as. TOC measurement again Erel (24) by a colorimetric method
developed fully automated. Ferrozine-oxidants found in the sample ions are oxidized to o-dianisidin
complex ferric ions. Accelerate the reaction medium contained glycerol is about three times out. Ferric ions
in acidic media "xylenol orange" color with a complex form. Oxidants found in samples of the color
intensity is related to the amount as measured spectrophotometrically. Perkin Elmer brand
spectrophotometric analysis (UV / Vis spectrophotometer model lambda 20 - USA) spectrophotometer was
carried out.
Tubes were taken to study biochemistry in the blood. Within days of the cold chain reached the laboratory
has been the blood centrifuged at 5000 rpm for 10 minutes. After taking blood samples until analysis and

63

�stored at -80 ° C freezer. Primarily on analysis of blood was transferred to the refrigerator at +4 ° C, then
melted at 37 ° C hot water bath is used for analysis spectrophometric.
Spectrophotometric TAC and TOC measurements in blood and apples in the bathtub for the first of three
separate spectra were taken and their 800'er mL in reagent 1 (R1) has been applied. Then a 50 mL standard
on one of these containers, standard and sample were added 2. Spectrophotometer at 660 nm and then the
absorbance readings were recorded. 125 mL of these reagents to them, then two (R2) were added at room
temperature for 10 minutes was expected. Finally, also the second 660 nm absorbance was read and
recorded.
OSI values, the TOS value is calculated by dividing the value of the TAS (24). SPSS 15.0 statistical
evaluation of data entered into the program, calculations were made using t-test.

Results
Demographic characteristics of study participants are given in Table 1.

Male

Those who do drugs
Those organic
production
Total

Female

Total

n

%

n

%

n

%

27

90

3

10

30

100.0

26

86.6

4

13.4

30

100.0

53

88.3

7

23.4

60

100.0

Table 1. Demographic characteristics of study participants

Applied pesticides in apples and organic apples in the TAC, TOC, and p values in Table 2 are given.

Apples produced with pesticides (TAC)
(n=30)

Average
(µmol
equivalent/g)
1,74
1,75

Organically produced apples (TAC) (n=30)
Apples produced with pesticides (TOC )
(n=30)

1,58
1,60

trolox

p value
&gt;0,05

&gt;0,05

Organically produced apples (TOC ) (n=30)
Table 2 Applied pesticides in apples and organic apples in the average TAC, TOC and P values.

As can be seen in Table 2, produced with pesticides, and organic apples in a significant difference
compared to TAC and TOC values was found (p&gt; 0.05). But not significantly higher TAC of apples
produced in the organic way, as determined TOC lower. The person who made pesticides and organic apple
production in the blood of the person making the TAC, the TOC and p values are given in Table 3.

Average
(µmol
equivalent/g)
64

trolox

p value

�Pesticides in the blood of the person who made TAC
(n=30)

1,59
1,63

&lt;0,05

Organic production in the blood of the people TAC
(n=30)
Pesticides in the blood of the person who made TOC
(n=30)

1,65
1,60

&lt;0,05

Organic production in the blood of the people TOC
(n=30)
Table 3. The person who made pesticides and organic apple production in the blood of the person making
the TAC, TOC and p values.

Table 3 with the results that can be seen pesticides using the apple production of the person who made the
blood of the TAC on the average, organic apple production the person who made the blood of the TAC
values than the average significantly (p &lt;0.05) lower TOC values, the average is significantly (p &lt;0 , 2005)
were higher. TAC and TOC values of each group of oxidative stress index (ODI) was calculated to make
the pesticides from the other group of people OSI (OSI= TOS/TAC × 100) significantly (p &lt;0.05) were
higher (Table 4).

People who made pesticides (n=30)
People who makes organic production
(n=30)

Average OSI value (OSI= TOS/TAC ×
100)
103,7
98,7

p value
&lt;0,05

Table 4. Using pesticides and organic apple production to production of individuals in the OSI and the p
values of the blood of the people.

As shown in Table 4, apple production in persons with pesticides, OSI, compared with those of organic
produce a significant increase (p &lt;0.05) was observed. As with pesticides, and organic apple production
OSI values of men and women who make a significant difference was found compared (Table 5). However,
although not statistically significant for both pesticides and organic produce in the group who were higher
in OSI.

Men who make pesticides (n=27)
Women who make pesticides (n=3)
The men's organic produce (n=26)
The women's organic produce (n=4)

Average OSI value(OSI= TOS/TAC ×
100)
104,2
103,5
99,3
98,2

p value
&gt;0,05
&gt;0,05

Table 5. With pesticides, and organic apple production of the women and men TAC, TOC, and p values.

Discussion
Like many other fruit apples high amounts of vitamin C, vitamin E and the risk of cancer by reducing DNA
damage and contains valuable antioxidants. Apple contains vitamins and antioxidants with the diet is an
important fruit. Apple radical trapping tests showed high antioxidant activity (14).
A study in Finland, kuersetin'den rich apple consumption increases have been reported to decrease coronary
mortality (15). In a study conducted in Hawai'i with apple consumption has been identified a negative
relationship between lung cancer and its relationship with Apple that may stem from antioxidants have
65

�been reported (16). In our study, the organic way (natural animal manure and commercial organic fertilizer)
is produced, as well as several effective chemicals containing (diazinon, chlorpyriphos, thiacloprid,
phosalone, methidation, deltamethrin, cypermethrin, Carbaryl, 98% copper sulfate), pesticides produced by
Apple in the TAC significant values were higher. The cause of the apple produced in these two groups and
that the antioxidant properties against free radicals consumed in diseases such as cardiovascular disease and
cancer can be said to show a protective effect. This study produced using pesticides and organic apple
production in the TAC and TOC was determined by the two groups, and TAC - TOC Apple found a
significant difference between values (Table 2).
In 2005 study conducted by Karadeniz and colleagues, pomegranate, quince, apples and grapes in the
morning as the highest antioxidant activity was determined. The same study, Cooper kind of apples average
antioxidant activity mean% 14.7 Golden Delicious type apple mean antioxidant activity% 20.7, our
research we also used Starking kind of apples average antioxidant activity while 19.5% have been reported
(9).
Production of organic products in research on food quality and environmental health has revealed positive
effects (17, 18). In our investigation, the apples in organic apple production was not due to a significant
increase in TAC. Organic apple production in the same way, Apple does not cause a change in the TOC
(Table 2).
Live in the TOC, external to the body directly can be received, or in the body, some reactions during the
open can crop up and to DNA affecting the genetic damage, lipid effects by cell membrane dysfunction or
protein by acting on the enzymes in the loss of function which may lead to radicals occurs. The body
against oxidative stress TAC various substances such as enzymes and vitamins is a defense mechanism
consisting of (19). Plasma and body fluids found in the TAC reflects the total effect of all antioxidants.
This is why the blood antioxidant status in determining individual antioxidants, rather than giving them the
value of the total antioxidant measurement is widely TAC (19).
Approximately one fifth of apples produced in Turkey are produced in Isparta (4). Apple production in the
region is quite high, brings extensive use of pesticides. But the research about the use of the pesticide
manufacturers in the region has revealed the inadequacy of (11.20). The results of this lack of research has
proven once again. Because pesticides do people with TAC values, the organic produce of the people TAC
values when compared with significantly (p &lt;0.05) reduced, the TOC values were compared, a significant
increase (p &lt;0.05) is true (Table 3).
In a survey of pesticides to people mainly organophosphorus insecticides (diazinon, chlorpyrifos,
thiacloprid, phosalone, methidation) were used. Piretroit this group of synthetic insecticides (deltamethrin,
cypermethrin) and carbamat insecticides (Carbaryl) follow (11). Drugs for at least three years of our work,
including the person who has been. Therefore, some pesticide applicators in the history of our country in
2008, prohibited the use of endosulfan pesticide active ingredient have been identified in their survey. This
study pesticides made of people (producers, workers, or paid agents of the person making the) blood in the
TAC and TOC values and organic apple production of the employees (producers, workers, or paid agents
of the person making the) blood in the TAC and TOC values compared to Apple Contrary significantly (P
&lt;0.05) difference was found. TAC and TOC results in terms of these pesticides did not affect the quality of
apples, but in terms of reduced TAC and increasing TOC pesticides adversely affect the health of the
person making the shows.
In our survey of women and men who do drugs and TOK TAK average men and women produce and
organic apple compared to the average of the TAC and TOC was significantly (p &lt;0.05) difference was
found (Table 5). Although not statistically significant, men have more than OSĐ'lerinin longer than men do
these jobs and their studies may have resulted in heavy work (Table 4).
Excessive formation of reactive oxygen compounds, for whatever reason or lack of antioxidant defense
systems and repair systems are developed as a result of oxidative stress (21).
Pesticides reduce antioxidant capacity, by increasing antioxidant capacity, causing oxidative stress have
been many studies showing that (22.23). This current study also yielded results consistent with the
literature data. People who make pesticides OSI (increased oxidant capacity, decreased antioxidant
capacity) OSI of organic production compared with the person who made a significant increase (p &lt;0.05)
was determined.
Altuntas and colleagues at work, in the Mediterranean region is widely used organophosphate pesticide
fasolonun in vitro lipid peroxidation and antioxidant defense systems were examined on the effects.
Fasolon, malondialdehyde (MDA) formation increased, superoxide dismutase (SOD), glutathione
peroxidase (GSH-Px) and catalase (CAT) has led to a decrease in activity. Fasolonun very high
66

�concentrations but these effects are only lethal dose level were observed (23). SOD, GSH-Px and CAT
antioxidant enzymes in our body is called. In this study, blood taken from these enzymes, including the
PAC were measured and Altuntas and colleagues working in parallel with the pesticides to the victim in the
TAC was significantly lower than was found. TAC and TOC in our body is in balance. TOS / TAS is OSI’s
rate (24). In this study, an increase TOC, TAC’s reduction, direct and may be caused by an increase OSI.
OSI increased atherosclerosis in people with a pesticide application, may increase the risk of cancer and
premature aging.
During five years of agricultural workers exposed to pesticides total of 41 healthy men, age and economic
status of the 21 individuals with the same free radical formation, lipid peroxidation, antioxidant status and
the cellular enzyme activity determination were compared. Compared with the control group significantly
increased MDA in agricultural workers. Glutathione, α-tocopherol, ascorbic acid and ceruloplasmin
concentrations of antioxidants, such as the control group significantly decreased compared with (25).
Participated in this study, a large portion of the 30 pesticide applicators (n = 15) consisted of agricultural
workers. Pesticide applicators, while the remaining 12 were producers, 3 are doing this job for payment.
TAC of 15 agricultural workers is calculated separately as this value was 1.60. Kisby and his colleagues
working in the orchards in their study of pesticides on farm workers, the negative impact of oxidative stress
and DNA have been put forward. The results in the context of a relationship between pesticides and cancer
incidence may be increasing attention was (26).
As a result, the use of pesticides in growing the food, the environment and human health is threatened. The
person who made this study of pesticides in blood TAC and TOC reduction in growth and therefore
increase the value determined OSI, the long-term adverse effects of exposure to pesticides have been found
out once again. TAC and TOC in pesticide applications, but Apple did not cause significant change in the
value produced as organic pesticides applied to apples with apples produced in the TAC and TOC values
were found to show similarities. Organic farming practices that have an impact on Apple is not in the TOC
or TAC, the apples that produce a positive impact on the health of people suggest.

References
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[15] Knekt P, Jarvinen R, Reunanen A, Maatela J. (1996) Flavonoid intake and coronary mortality in
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[16] Le Marchand L, Murphy SP, Hankin JH, Wilkens LR, Kolonel LN. (2000) Intake of flavonoids and
lung cancer. J Natl Cancer Inst 92: 154–160.
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pestisitlerin uygulayıcılar üzerindeki akut etkileri. Toksikoloji Dergisi 6 (1-2): 69-72.
[21] Kökoğlu E. (1998) Oksidatif stres ve yaşlanma, Yaşlanmaya Biokimyasal Yaklaşım Uluslararası
Sempozyumu, Ankara
[22] Gökalp O, Buyukvanlı BE. Cicek M, Kaya Ö, Koyu A, Altuntas Đ, Koylu H. (2005) The effects of
diazinon on pancreatic damage and ameliorating role of vitamin E and vitamin C. Pesticide Biochemistry
and Physiology 81: 123–128.
[23] Altuntaş Đ, Delibaş N, Doğuş DK, Özmen S, Gültekin F. (2003) Role of reactive oxygen species in
organophospat insecticide poasalone toxicity in erythrocytes in vitro, Toxicology in vitro 17: 153-157.
[24] Erel O. 2005. A novel automated colorimetric method for measuring total oxidant status. Clin
Bioche 38: 1103–1111.
[25] Prakasam A, Sethupathy S, Lalitha S. (2001) Plasma and RBCs antioxidant status in occupational
male pesticide sprayers, Clinia Chimca Acta 310: 107-112.
[26] Kisby GE, Muniz JF, Scherer J, Lasarev MR. (2009) R Oxidative Stress and DNA Damage in
Agricultural Workers, Journal of Agromedicine 14: 206–214.

68

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POLAT, Mümin
KÜÇÜKÖNER, Erdoğan</text>
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                <text>In this study there are two aims determined. Initially, the total  antioxidant, and oxidant capacities will be compared in apples which are  produced by using the pesticides including various effective chemicals and the  apples produced in an organic way by using natural animal fertilizers and  commercial organic fertilizers. Secondly, the antioxidant, and oxidant  capacities of the workers’ blood samples who are applying the pesticides, and  the ones who are working in producing the organic apples.  The total antioxidant, and oxidant capacities of the blood samples taken from  30 workers who were applying the pesticides, and 30 workers who were  producing the 30 organic apples at least for 3 years, and of the apples they  produced were analysed.  The total antioxidant and oxidant capacities were measured using direct  measurement kits for spectrophotometry.  As a result of the spectrophotometric analyses, no significant difference  (p&gt;0.05) between the total antioxidant, and oxidant levels of the organic and  non-organic apples was determined. Besides, the antioxidant capacity of the  workers applying the agricultural chemicals in producing the apples showed a  significant decline compared to the workers who were producing the organic  apples (p&lt;0.05). In addition, the oxidant capacity of the workers applying the  agricultural chemicals in producing the apples showed a significant increase  compared to the workers who were producing the organic apples (p&lt;0.05).  These results indicate that pesticide applications do not cause a change in the  total antioxidant, and oxidant capacities of the apples. However, the workers  who are applying the pesticides can be affected negatively by these chemicals,  in the mean of the decreased total antioxidant capacity, and increased total  oxidant capacity.</text>
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PeerReviewed</text>
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                    <text>Journal of Economic and Social Studies

Evaluating the employment probability:
Men and women in comparative perspective
in Attica and Central Macedonia
Stavros Rodokanakis
Department of Social and Policy Sciences
University of Bath
Claverton Down, Bath BA2 7AY, England
srodo2003@yahoo.gr
Vasileios A. Vlachos
Department of European and International Studies
University of Macedonia
Egnatia 156, 540 06 Thessaloniki, Greece
vlachosuk@hotmail.com
ABSTRACT
This paper investigates unemployment risk and job prospects of males
and females in the two Greece’s most populated regions - Attica
and Central Macedonia - during the implementation of the first
Community Support Framework (1989-1993). Originality lies
in the separate analyses for males and females. The sample is based
on anonymous records (micro-data) of the Labour Force Survey for
both employed and unemployed at Nomenclature of Territorial Units
for Statistics-2 level. Firstly, social and demographic characteristics
increasing the odds of being employed are examined - i.e. age, marital
status, residence, education and training. Secondly, the issue of whether
University graduates have lesser odds of being employed is investigated.
The findings indicate that gender differences in odds of being employed
appear mainly across education levels. Moreover, higher education
attainment increases the odds of being employed particularly for
females. The paper delivers conclusions that can be used for comparative
research among European regions.

KEYWORDS
Cross-sectional Models, Labour
Economics Policies, Human
Capital, Skills, Unemployment
Models, Regional, urban and rural
analyses
ARTICLE HISTORY
Submitted: 6 August 2012
Resubmitted: 02 November 2012
Resubmitted: 11 January 2013
Accepted: 15 March 2013

Jel Code: C21, J08, J24, J64, O18

Volume 3

Number 1

Spring 2013

119

�Stavros RODOKANAKIS / Vasileios A. VLACHOS

Introduction
The programmes implemented in Greece and other EU member states under the
Community Support Frameworks (CSFs) - which were infrastructure-related development projects and investments in physical and human capital - aimed to gear the
economy onto a sustainable path of economic growth and development. The CSF
goal of promoting growth through investments in infrastructure and human capital
was the prerequisite for the cohesion of EU and the sustainability of the nominal convergence objective of the Maastricht Treaty in the way to the European Economic and
Monetary Union. In this context, it is interesting to see if investment in human capital
(education and training) in Greece had a real impact on the labour market.
The aim of the paper is to study the impact that social and demographic characteristics
had on the labour market in the Greek Nomenclature of Territorial Units for Statistics
(NUTS)-2 regions of Central Macedonia and Attica, during the implementation of
the CSF-1 (1989-93). Greece consists of thirteen NUTS-2 regions. During the examined time period both regions belonged to the Objective 1 (European regions with a
GDP per head less than 75% of the EU mean) of the EU Structural Funds. We choose
Central Macedonia and Attica because the above regions are the largest in Greece in
terms of population, and the two biggest urban agglomerations in the country (Athens
and Thessaloniki) are situated in the regions under study; so, we research half of the
Greek population. The reason we choose these years is because 1988 is the last year
before the start of the implementation of the Structural Funds, whereas 1992 is the
year of the Maastricht Treaty and also the first year of getting information on training
programmes in the Greek Labour Force Survey (LFS). So, other studies can compare
that period with more recent years. The main questions to be answered, analysing the
data separately for males and females, are:
(i)
What are the social and demographic characteristics that increase the
chances of someone in the examined population finding a job?
(ii)
Whether University graduates face greater difficulties in finding a job
than the non-University graduates, as a series of studies (see Meghir et
al., 1989; OECD, 1990; Iliades, 1995; IN.E./GSEE-ADEDY, 1999;
Katsikas, 2005) or aggregate statistics (LFS; Eurostat: Education and
Employment Prospects, 1995) for Greece conclude.
(iii)
How does the participation in training courses affect the chances of
getting an employment?

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We test male vs. female unemployment, and the human capital theory which provides one of the main explanations for the uneven incidence of unemployment by
skill (education and training); we try to research whether the more educated and the
more trained a person is, the higher the probability of him finding a job.
Previous labour market studies for Greece were based on qualitative research and
LFS aggregated data. Our analysis of investigating the unemployment risk in the
Greek labour market - at Nomenclature of Territorial Units for Statistics (NUTS)
2 level - is based on the micro-data of the Greek LFS. The access to the individual
anonymised records of the Greek LFS was not allowed to researchers until the summer of 2005, due to the Data Protection Act.
The article starts discussing the gender unemployment issue. Then, we examine the
relation between education and unemployment in the EU, and the impact of training programmes on the employment prospects of individuals in the EU and the rest
of the OECD according to a series of studies; the results are based on both crosssectional and longitudinal data. We also discuss the vocational training policies for
the unemployed in Greece. Then, we refer to the macroeconomic indicators of the
examined regions and follow a logit model for the years 1988 and 1992 - based on
micro-data of the Greek LFS - for the two regions under study working separately
for men and women. The article concludes with the impact of the socio-economic
variables used on employment probability in the examined regions, and ends with
some general comments on the merit and value of this study.

Literature Review

Male versus female unemployment: The theoretical context
There is an enormous literature on gender gaps in pay and a vast literature on gender
gaps in labour force participation rates (see Altonji and Blank, 1999, and Blau and
Kahn, 2003). Yet, there is very little written on gender gaps in unemployment rates
(OECD, 2002, p. 63). According to OECD Statistical Compendium (1999b) the
largest gender gaps in unemployment rates are to be found in the Mediterranean
countries (Greece, Spain, Italy and France), following by the Benelux countries

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(Belgium, the Netherlands and Luxembourg), the “Germanic” countries (Germany,
Austria and Switzerland), then the “Nordic” countries (Sweden, Finland and
Norway) and, finally, the “Anglo-Saxons” (US, UK, Ireland, Australia, Canada and
New Zealand). In a number of the Mediterranean countries the ‘unemployment
problem’ is largely a problem of female unemployment.
According to International Labour Organisation (ILO) to be classified as unemployed people must have looked for work in the recent past and are available to start
work in the near future. Sometimes women that do not want to work because of
domestic responsibilities (to take care of children and the elderlies) are considered as
unemployed, not as inactive. This fact ‘spills over’ into a higher female unemployment rate. If this is true then the female unemployed in ‘high-gap’ countries may
be less serious about wanting a job and taking steps to get one than the male unemployed (Azmat et al., 2004b).
In many of the European countries with high unemployment rates, the female
unemployment rate is substantially above the male. Women in all countries tend
to have higher flows into inactivity both from employment and unemployment.
However, in the ‘high-gap’ countries (namely with a large gender gap in unemployment rates) women tend to have higher flows from employment into unemployment and from unemployment into employment, namely in both flows. Providing
explanations for this is not so easy and it is much simpler to present evidence against
hypotheses than evidence in favour of them (Azmat et al., 2004a).
Data from the first six waves 1994-1999 of the European Community Household
Panel Survey (ECHPS) shows that in the Mediterranean or ‘high-gap’ countries, the
gender gaps in unemployment rates are largest among the young, the married and
those with young children.
It is true that there is a lot of variation in the extent of part-time employment and
that it tends to be relatively rare in the ‘Mediterranean’ countries which have large
gender gaps in unemployment rates. But the unemployed women in these countries
do not report that they are looking for part-time jobs and it seems likely that the
lack of availability of part-time work can explain low female participation rates in
some countries but not their high unemployment rates (Eurostat, LFS, 1996).

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The human capital approach and the human capital theory
The role of education in explaining how the labour market operates represents one
of the main areas of disagreement between labour market theories. During the late
1950s and early 1960s the current neoclassical theory of the labour market emerged
with the development of the human capital theory. Gary Becker (1964 - 2nd ed.,
1975) published a book with the title “Human Capital” which developed a theory
of human capital formation and analysed the rate of return to investment in education and training. However, investment in human capital remains a controversial
issue (Woodhall, 1987; Kapstein, 2001; de la Fuente, 2003).
Whilst the human capital literature has highlighted a number of productivity-related characteristics, human capital theorists give most emphasis to the importance
of education and training as the main component of productivity (Blaug, 1975).
Education, it is suggested, provides the basic skills of reading and writing, cognitive
skills, and the “ability to learn” which will increase an individual’s productivity in all
jobs (general human capital), whilst vocational education, on the other hand, will
increase an individual’s productivity in a narrower range of jobs by providing more
specific skills (specific human capital).
Becker (1962) distinguishes general from specific human capital of workers, and
within specific human capital between employer- and employee-financed on-thejob training. Most broadly the theory of specific human capital predicts that where
the fixed costs of employment, due to on-the-job training, are greatest, unemployment is lowest (Rees, 1973, pp.118-20).
Following Becker’s (1964) analysis on the economic role of human capital, particularly education, there is now a considerable amount of empirical research on the
closely related topics of education and skills [see Prais (1995); Murray and Steedman
(1998)] and, more specifically, the increasing role of skilled labour in the economy
[Berman et al. (1994); Machin (1996); Machin and van Reenen (1998)].

Training as a human capital
To examine what constitutes training, it is necessary to divide it into two significant
purposes. Firstly, it is possible to view training as an investment in human capital,

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perhaps adding to the skills gained in the first education. Secondly, training can be
a replacement of initial education with company training when there is a mismatch
between skills the employee has and those needed. Theoretically, these different purposes belong to two theoretical viewpoints, which sometimes coincide: the human
capital theory and matching theory. It can be considered that these theories coincide
because it could be an investment to train to add to skills. However, the two theories
are based on diverse approaches to training (van Smoorenburg and van der Velden,
2000).
Human capital theory holds that it is the type of training input that largely determines the amount of increase in job tenure. In actual fact, training is not totally
general or totally particular (Stevens, 1994). Job tenure will become greater if training is particularly connected to the company, than if it is general (in the classroom).
It is less likely the worker will leave then. Also, employers are not keep to let workers
go when they have paid for them to learn particular skills. However, when training
is general, there is nothing to tie the worker to his existing job, since his skills may
be of use in all companies. This difference also applies where weakly transferable and
widely transferable training are involved. If this is true, it is reasonable to assume
that classroom training is more transferable for the unemployed and training at
work leads to greater job tenure (Cockx et al., 1998). On the whole, employers need
skilled workers, involving work experience as well as training, so classroom training
is not sufficient on its own.
Matching theory claims that under-education will result in an increased necessity
for more training. Less necessity for training, however, arises from over-education.
It is not yet certain if training can make up for inadequacies in formal education
(substitution) or if it can just add to variations in human capital (complementarity)
that are already present. It might be inferred, though, that it is only the features of
the job (level and kind of job) in which the substitution features of training are to be
found and that it is only in the features of the formal education (level and breadth)
that the complementarity nature of training is obvious (van Smoorenburg and van
der Velden, 2000).
According to credentialist and screening theories (Blaug, 1975), initial training does
not serve as an investment aimed at increasing human capital so much, but instead
certificates acquired from training can reveal what workers are capable of. On the
other hand, Blaug notes various kinds of credentialist theory and the weak kind is
not at variance with human capital (Tatch et al., 1998).

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Unemployment and skills in Greece and the rest of the EU
Educational level and unemployment in the EU
Table 1 gives unemployment rates by qualification in different EU countries according to Eurostat data. The differences were enormous. There are only a few countries
where this inverse relation between unemployment and qualification did not exist:
in Greece and Portugal unemployment among people on ISCED (International
Standard Classification of Education) 3 level (Lyceum) was higher than among
the less qualified, but not among the University graduates (ISCED 5-7); in Italy
and Luxembourg, unemployment rates among the highly qualified (ISCED 5-7,
University) exceeded those of people with intermediate qualifications.
Table 1. Unemployment rates by level of educational attainment(1); EU 1994
ISCED 0-2c
12.5
12.6
14.8
6.2
22.4
14.8
21.0
9.3
3.7
12.6
6.1
11.2
13.2

Country
BEL
DEN
GER
GRE
ESP
FRA
IRL
ITA
LUX
NL
POR
UK
EU-12

ISCED 3b
7.5
8.3
8.9
8.3
20.0
9.7
9.1
7.4
1.9
7.7
6.4
7.9
8.8

ISCED 5-7a
3.7
4.6
5.3
5.3
15.1
6.6
5.3
8.1
2.4
5.5
2.4
4.1
6.1

(1)
25-59 years old
Source: Eurostat: Education and Employment prospects, 1995.
a
All first and higher degrees. All teaching, nursing qualifications. HNC/HND.
b
1 or more A-level passes, GNVQ 3 and equivalent, NVQ 3 and equivalent. Trade apprenticeship. GNVQ 2
or equivalent, NVQ2 or equivalent.
c
ISCED 2: 1 or more O-level/ GCSE passes, 1 or more CSE passes. All other qualifications.

ISCED 0-1: No qualifications.

Looking at the long-term unemployment (LTU) of different skill levels, we again
find that intermediate and higher educated people were less affected. This is true for
the whole Union except Spain and Greece, where LTU was higher on ISCED levels
3 and 5-7 compared to levels 0-2, for Italy where LTU was the highest on ISCED 3

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level, and for Luxembourg and Portugal where the ratios of ISCED levels 0-2 and 3
were equal (Eurostat, Education and Employment Prospects, 1995).

Training evaluation in Europe and Greece
Findings on European training programmes’ evaluation
Up-to-date evaluation studies point to minor impacts of European training policies
and they are most likely less significant and not always as positive as those responsible
for designing them had wished. Although the cross-national figures show a few positive results from programmes, it is impossible to disregard the more negative results.
The findings allow us to conclude that training programmes seem to have some positive effects on employment and no effects on earnings. Moreover, effects diminish over
time. The negative effects reported by several evaluations can be explained, on the one
hand by a locking-in effect, and on the other by the fact that some participants seem to
enrol in training merely in order to collect unemployment insurance benefits (Cueto
and Mato, 2009). The conclusions based on the recent studies are somewhat similar to
those of Heckman et al. (1999) and Stanley et al. (1999) for the U.S.
In spite of being restricted to only a small number of nations, micro-economic
studies of effect evaluations, based on both cross-sectional and longitudinal data,
indicate that some programmes have managed to noticeably better employment
prospects for those taking part. On the other hand, the findings include a number
of programmes which appear to have had almost no effect. Programmes with fairly
specific targeting have managed positive results and this may be due to the fact
that these programmes usually take account of individual requirements. However,
a number of programmes that were most widely targeted have had little impact.1
1

See Kaitz, 1979; Ridder, 1986; Card and Sullivan, 1988; Ham and Lalonde, 1991; Gritz, 1993;
OECD, 1993; Bonnal et al., 1994; Torp, 1994; Calmfors and Skedinger, 1995; Jackman, 1995;
Bjorklund and Regner, 1996; Fay, 1996; Jackman et al., 1996; Zweimuller and Winter-Ebmer,
1996; Cockx et al., 1998; Kluve et al., 1999; Gerfin and Lechner, 2000; Lechner, 2000; Brodaty
et al., 2001; van Ours, 2001; Kluve and Schmidt, 2002; Raaum and Torp, 2002; Regner, 2002;
Cockx, 2003; Weber and Hofer, 2003; Graversen, 2004; Hamalainen and Ollikainen, 2004; Hujer
et al., 2004; Leetmaa and Vork, 2004; Rosholm and Svarer, 2004; Albrecht et al., 2005; Arellano,
2005; Cavaco et al., 2005; Centeno et al., 2005; Fitzenberger and Speckesser, 2005; Hogelund
and Holm, 2005; Kluve et al., 2005; Lechner et al., 2005; Lorentzen and Dahl, 2005; MalmbergHeimonen and Vuori, 2005; Steiger, 2005; Stenberg, 2005; Aakvik and Dahl, 2006; WinterEbmer, 2006; Biewen et al., 2007; Lechner et al., 2007; Mato and Cueto, 2008; Meadows and
Metcalf, 2008; Rosholm and Skipper, 2009; Kluve, 2010.

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Lastly, to establish the ways in which programmes can be made better more research
is necessary.

Vocational training policies for the unemployed in Greece
The situation in Greece is complicated with low level of investments to training
programmes compared to the rest of the EU, and weak interconnection among
targeting of training programmes and needs of labour market.
The structure of expenditures for “active” interventions in 1997 shows that the level
of expenditures in Greece (0.35%), as a percentage of the GDP, is behind that of
the EU-15 average (1.13%) concerning all specific interventions, with the exception
of “measures for the young” (youth vocational education and training, etc. 0.10%)
which are comparable to the European average (0.13%). Furthermore, there is a
quite low level of expenditures on the training of adults (0.06% for Greece in comparison to 0.29% for the EU-15) - (OECD, Employment Outlook, 1999a).
The system of continuing vocational training (CVT) in Greece was developed
mainly due to its incorporation in Community funding programmes (Iliades,
1995; Chletsos, 1998; Papakonstantinou, 1998). Policies concerned with training
and retraining for the unemployed have been confined to continuing training programmes. Vocational training programmes for the unemployed were unconnected
with employment policies (Gravaris, 1991, p. 37; Christodoulakis and Kalyvitis,
1995; Balourdos and Chryssakis, 1998; Economic and Social Committee of Greece,
1998). This is reflected in the fact that the unemployment rate for those (20-29
years old) with complementary vocational training in Greece was 20%, compared
to 14% for those with only compulsory schooling; the corresponding figures for the
EU were 11.5% and 23.5% (see Table 2).

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Table 2. Unemployment rates among young people (20-29) with basic education
and those with supplementary vocational education and training (EU - 1995 figures)
COUNTRIES
EU-14
Belgium
Denmark
Germany
Greece
Spain
France
Italy
Luxembourg
Netherlands
Austria
Portugal
Finland
Sweden
UK

BASIC EDUCATION
23.5
24.3
17.7
16.2
14.3
33.9
30
22.2
5.7
14.8
:
11.2
35.4
21.7
18.5

BASIC EDUCATION PLUS SUPPLEMENTARY
VOCATIONAL EDUCATION / TRAINING
11.5
19.7
8.5
7.6
20
34.9
17.1
15.9
:
7.2
4
16.2
23.6
:
10

Ireland – No figures available
: = Data unreliable
Source: Eurostat (as quoted in Economic and Social Committee of Greece, 1998, p. 31).

The market of CVT in Greece is insufficiently covered, leaving many sectors unattended, mainly due to the lack of specific demand and supply structures (Chasapis,
1994). Training in Greece runs in the same way from early 1990s up to now and
there is no in-depth and detailed analysis of the labour market needs. Although
in the field of training in Greece the real expenditure (absorption) of EU funds is
100%, there is no change in the philosophy, design and implementation of programmes during the three CSFs (INE/GSEE, 2008). Only the financial control was
strict during the second and the third CSFs. The most successful programmes in
terms of matching supply and demand for labour are mainly those on accountancy
and informatics (authors’ personal experience).
Particularly with regard to training programmes for the unemployed in Greece, the
method of identifying skills requirements, on the basis of which the programmes were
offered, was wholly inadequate. It was based on changes in labour force categories derived from the LFS, on estimates of the impact of investment programmes on employment (where these existed or where such estimates were possible) and on Job Market

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Surveys. These last record shortages of skills on the basis of company estimates of their
own shortages, which were often inaccurate or did not correspond to the capacity of
the firms to utilise the skills demanded (Linardos-Rylmon, 1998).

Macroeconomic data of the examined regions
The Region of Central Macedonia (RCM)
Central Macedonia is the largest region of Greece (19,147 km2 - 14.5% of the country’s surface) and is situated in the centre of Northern Greece. The RCM consists
of seven NUTS-3 areas (Thessaloniki, Serres, Chalkidiki, Imathia, Pella, Kilkis and
Pieria) and is the second largest Greek region in terms of population (about 1.7 million inhabitants according to 1991 census) after that of Attica, whereas the population
of the entire Greece was approximately 10.26 million. Between the census of 1991
and 2001 the population rose by 9.6%, a rise higher than the national mean (6.9%).
Also, the major urban centre and capital of Central Macedonia is Thessaloniki, which
is the second most important Greek city. According to 1991 census the population of
the Thessaloniki Area was about 750,000 inhabitants, whereas that of the county of
Thessaloniki was approximately 945,000 inhabitants. The main cities are ThessalonikiVeria-Serres-Katerini-Naoussa-Edessa-Polygyros-Kilkis. The main industries were textiles, plastic-chemicals, food-beverages and clothing. In 2003, the region’s per capita
GDP (PPS) was 17,110 euro (83% of the EU-25 average), whereas Thessaloniki and
Chalkidiki were the richest counties of the region having a GDP per head equal to
90.3% and 89.5% correspondingly of the EU-25 mean. In 2003 the region produced
17.6% of the country’s GDP (the second largest contributor after Attica) - 18% of
the national agricultural produce (first in the country), 20% of the manufacturing
production (second in the country) and 18% of services (second in the country). The
unemployment rate in the RCM was 9.2% in 1992 and increased to 11.5% in 2002
[source:  (www.statistics.gr)].
The Region of Attica
The Region of Attica (NUTS-2) - which is geographically situated in Central Greece
- is the one and only region-county (NUTS-3) in Greece, since according to 1991
census its population size was about 3.5 million inhabitants; namely, 3 out of 10

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Greeks lived in Attica. The capital of the region is the city of Athens, which is by far
the most important Greek city in economic, administrative and political terms. In
1988, Attica’s GDP was equal to 61% of the EU-12 average (58% for Greece as a
whole), whereas in 1996 the region improved its position since its GDP was 77%
of the EU-15 mean (68% for the country as a whole) and 86% of the EU-25 mean
in 2003 (80.9% for Greece as a whole). In 2003, Attica was ranked third among the
13 Greek regions, based on that criterion (GDP per capita), after Central Greece
and the Southern Aegean. The Region of Attica produces 37.4% of the country’s
GDP - 2.7% of the country’s agricultural produce, 35.5% of the manufacturing and
42% of services (2001) – [sources: www.ypes.gr/attiki and  (www.statistics.
gr)]. There was an increase in the percentage of unemployed from 10% in 1988 to
11.7% of the workforce in 19952. The male unemployment rate was 6.47% in 1988
and 8.4% in 1995, whereas the corresponding female percentages were 16.32% and
16.86%. LTU - as percentage of total unemployment - amounted to 45.4% in 1988
and 50.9% in 1995 (LFS).

Methodology, Analysis/Findings/Discussions

Econometric model: Logistic regression for unemployment

The logistic regression based on the micro-data of the Greek LFS
European Community Household Panel Survey (ECHPS) and Survey on Income
and Living Conditions (SILC) data have been designed for the country as a whole in
the case of Greece, so we cannot really work at regional level. Also, individual census
records do not exist in Greece, like e.g. in Denmark, so the only way is to base our
research on the LFS micro-data.
The originality of this research is that we use individual anonymised records (microdata) of the LFS for both employed and unemployed (about 1.5% of the total population of each region). The questionnaire of the Greek LFS was greatly modified in 1992.
2

The percentage of unemployment is characterized by an augmentative tendency with the exception
of the two year period 1989-1990, during which it shows a temporary decrease.

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Tables 3 and 4 display the frequency distribution of the binary variables for 1988 and
1992 respectively. Due to their binary nature, statistics about their central tendency
and dispersion would be perplexing. Apart from the system missing records, following the limitation of age (15-64 years old) and removing the non-active population,
we ended with the following numbers of records available for analysis in each region
(in the spring and early summer, namely from the 14th to 26th week of the year):
Table 3. Descriptive statistics for the sample of 1988
Central Macedonia
Males (6.075)
Frequencies Share
Employed 5,804
95.50%
Unemployed271
4.50%

Females (3.633)
Frequencies Share
3,233
89.00%
400
11%

Attica
Males (12.708)
Frequencies Share
11,876
93.50%
832
7.50%

Females (7.214)
Frequencies Share
6,028
83.60%
1,186
16.40%

78.40%

2,777

76.40%

9,507

74.80%

4,705

65.20%

657
1,361
1,578
2,479

10.80%
22.40%
26.00%
40.80%

580
957
929
1,167

16.00%
26.30%
25.60%
32.10%

1,157
3,358
3,691
4,502

9.10%
26.40%
29.00%
35.40%

1,342
2,489
1,936
1,447

18.60%
34.50%
26.80%
20.10%

27

0.40%

11

0.30%

175

1.40%

70

1.00%

525

8.60%

400

11.00%

1,778

14.00%

1,208

16.70%

225

3.70%

177

4.90%

1,386

10.90%

821

11.40%

933

15.40%

641

17.60%

2,835

22.30%

2,307

32.00%

9 years
compulsory 794
education

13.10%

255

7.00%

1,877

14.80%

545

7.60%

Primary
school
3,494
graduates
and below

57.50%

2,080

57.30%

4,429

34.90%

2,017

28.00%

Variables

Married or
divorced or 4,763
widows
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD
holders
University
graduates
TEI
graduates
12 years of
schooling

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Table 4. Descriptive statistics for the sample of 1992
Central Macedonia
Variables

Attica

Males (5.815)

Females (3.475)

Males (12.559)

Females (7.742)

Frequencies Share

Frequencies Share

Frequencies Share

Frequencies Share

Employed

5,537

95.20% 3,056

87.90% 11,703

93.20% 6,453

83.40%

Unemployed

278

4.80%

12.10% 856

6.80%

1,289

16.60%

Married or
divorced or
widows

4,385

75.40% 2,579

74.20% 9,021

71.80% 5,097

65.80%

Aged 15-24

579

10.00% 525

15.10% 1,260

10.00% 1,360

17.60%

Aged 25-34

1,307

22.50% 935

26.90% 3,367

26.80% 2,478

32.00%

Aged 35-44

1,467

25.20% 934

26.90% 3,414

27.20% 2,236

28.90%

Aged 45-64

2,462

42.30% 1,081

31.10% 4,518

36.00% 1,668

21.50%

MSc or PhD
holders

33

0.60%

0.50%

0.80%

0.50%

University
graduates

583

10.00% 460

13.20% 2,197

17.50% 1,435

18.50%

221

3.80%

6.40%

7.10%

9.10%

1,132

19.50% 769

22.10% 3,529

28.10% 2,990

38.60%

794

13.70% 307

8.80%

15.00% 641

8.30%

Primary school
graduates and 3,052
below

52.50% 1,701

48.90% 3,962

31.50% 1,931

24.90%

Apprenticeship 34

0.60%

27

0.80%

53

0.40%

32

0.40%

Intra-firm
training

13

0.20%

9

0.30%

7

0.10%

5

0.10%

CVT

41

0.70%

9

0.30%

37

0.30%

10

0.10%

Popular training5

0.10%

5

0.10%

3

0.00%

0

0.00%

Nonparticipation
5,722
in trainings
course(s) ever

98.40% 3,425

TEI graduates
12 years of
schooling
9 years
compulsory
education

419

17

221

100

892

1,879

98.60% 12,459

37

708

99.20% 7,695

99.40%

The majority of individuals in the sample are married (over two thirds of total population), divorced or widowed. Both in 1988 and 1992, most males are in the age
range of 45-64, while the age range 15-24 represents roughly 10% of total males. A
similar but not that dispersed division of age groups population is also depicted for
females in Central Macedonia, both for 1988 and 1992. On the contrary, female
population of Attica both in 1988 and 1992 is primarily concentrated on the age

132

Journal of Economic and Social Studies

�Evaluating the employment probability: Men and women in comparative perspective
in Attica and Central Macedonia

groups of 25-34 and 35-44. With regard to education, the majority of the population is concentrated to primary school graduates and twelve years of schooling.
Females and the residents of Attica indicate a higher share in higher education.
Participation in training courses is particularly small, mainly through CVT and apprenticeship for males, and apprenticeship for females.
The basic aim of the econometric analysis is to test the impact that various social
and demographic characteristics had on people’s job prospects in the Regions of
Central Macedonia and Attica, during the implementation of the CSF-1 (1989-93).
We use a logistic regression model. Regression models allow for group comparisons
adjusting for demographic and socio-economic variables. It should be noted that
regression-adjusted comparisons may still provide misleading results when other
important variables that might have an effect are omitted.
The dependent variable takes two possible values (employed versus unemployed). A
full description of the explanatory variables is given below and are among the most
important variables generally acknowledged as affecting access to labour market.
The models were fitted using SPSS version 18.0.
The effect of demographic variables such as age, gender, marital status, as well as educational level and participation in training programmes (the last is only available
in 1992) on the employment status, is investigated with a logistic regression model
due to the categorical nature of the dependent variable. The binary logistic regression
equation is:
e = 0 + 1 m.s. + 2-4 a.g. + 5-9 educ.

(1988)

e = 0 + 1 m.s. + 2-4 a.g. + 5-9 educ. + 10-13 tr.

(1992)

where e (employment status) is the logit (ln of the odds) of being unemployed. The
independent variables are – in the order appearing in the equation – gender, marital
status, age groups, education achieved and training (or not). Age groups, education
achieved and training are groups of contrasting variables. The parameter estimates
 – 0 is the constant – are the odds ratio of the independent variables.
It should be noted that we are only capturing causal effects under very strong
and unrealistic assumptions, but the estimates are still interesting as they show
whether the descriptive patterns hold up against additional control variables.

Volume 3

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Spring 2013

133

�Stavros RODOKANAKIS / Vasileios A. VLACHOS

Also, measurement errors in the “treatment” variables (education and/or training)
will lead to downward bias in the regression’s estimates.
A limitation of the research is that the data available are cross-sectional rather than longitudinal and therefore we cannot study any population changes across time.

Description of the variables
We define now the complete list of variables together with their coding values that
we use in the model. The reference category of each variable is underlined.

Dependent variable
Employment Status (STA1) (Unemployed, Employed)

Explanatory variables
1) Gender (Female, Male)
2) Marital status (Married or divorced or widows against Non-married)
3) Age groups
15-24 years old
25-34 years old
35-44 years old
45-64 years old
4) Level of education
University graduates
MSc or PhD holders
Technological Educational Institutions () graduates
Lyceum graduates (12 years of schooling) or not finished University
High-school graduates (9 years-compulsory education)
Primary school graduates or not finished primary school or never in school.

134

Journal of Economic and Social Studies

�Evaluating the employment probability: Men and women in comparative perspective
in Attica and Central Macedonia

5) Participation in the past in training course(s)
Apprenticeship
Intra-firm training
Continuing vocational training (CVT)
Popular training
Non-participation in the past in training course(s)
The base (or reference) categories are those that appear in the Tables 5-8 with empty
cells and with which the rest of the corresponding variables are compared. The reference categories are chosen so as to match the needs of the research.
The working age population is between 14-65 years old. However, marking in SPSS
the ages 14 and 65 we also include those who are 13 and 66 years old something
which we want to avoid; so, we include people from 15 to 64. We examine people
below and over 30 since until the age of 30 years old, employment is often not
“permanent” due to (post)graduate studies and working experience acquisition, plus
fulfilment of compulsory military service for men.
The variable “participation in the past in training course(s)” first appeared in the 1992
questionnaire; it means that the interviewee had completed one or more training courses. This is also an indication of the attitude towards training in Greece at the beginning
of the 1990s. The duration of apprenticeship and intra-firm training had to be at least
one year according to the questionnaire of the Greek LFS. The term “popular training”
(laiki epimorphosi in Greek) means training courses intended mainly for elderly people
independently of their educational level, where the curriculum includes largely courses
of general knowledge. We cannot examine the impact of training on earnings, because
this kind of information does not exist in the questionnaire of the Greek LFS.
Concerning the residence location (see robustness checks in sections 5.2 and 5.3) in
the case of Attica in 1988 there were some reservations which may be related to the
fact that the 1992 LFS data are better than those of 1988, as the most recent data are
better than those of 1992. Consequently the investigation of the subsequent years is
needed in order to have a clearer picture in the 1990s given the fact that, as mentioned
in the introduction, the Greek LFS micro-data are now available to researchers.
Tables 5-8 present the estimated coefficients (B) and their standard errors (S.E.) of each
explanatory variable in the logistic regression for unemployment. The column “Sig.”
(level of statistical significance or p value) corresponds to the probability of the rejection
area.

Volume 3

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Spring 2013

135

�Stavros RODOKANAKIS / Vasileios A. VLACHOS

Results for Central Macedonia
Table 5 displays the odds of being unemployed at Central Macedonia in 1988. The
Exp(bk) column displays the odds ratio. Odds ratios less than 1.000 correspond to
decreases and odds ratios more than 1.000 correspond to increases in odds. Odds
ratios close to 1.000 indicate that unit changes in that independent variable do not
affect the dependent variable. Parameter estimates are significant at 1% level except
for some groups in education (MSc or PhD holders, TEI graduates, 12 years of
schooling for males, and these plus 9 years compulsory education for females).
Gender differences are present only for the level of education. Both for males and
females, the odds of being unemployed compared to being employed are increased
by being not-married rather than married. Both for males and females, the odds of
being unemployed compared to being employed are decreased by being 25 years old
or more. Both for males and females, the odds of being unemployed compared to
being employed are increased by holding a first degree except for two educational
categories. For males, the odds of being unemployed compared to being employed
are increased being a TEI graduate rather to holding a first degree. For females, the
odds of being unemployed compared to being employed are increased by completing postgraduate education rather to holding a first degree.
The robustness checks provide evidence of structural validity and vary according to
the distribution of the population. They indicate that the odds for employment are
increased for higher education graduates/postgraduates aged 30 and more or not
leaving in Thessaloniki (the latter is not demonstrated for males).
A notable difference for geographical grouping with respect to males, is that the odds
of being unemployed compared to being employed are increased for being a TEI graduate rather to holding a first degree, when based in Thessaloniki. The respective odds
are significantly decreased when based in rural areas. For males aged less than 30 the
odds of being unemployed compared to being employed are increased by completing
postgraduate education and decrease by being a TEI graduate rather to holding a first
degree. On the other hand, for males aged 30 or more, the odds of being unemployed
compared to being employed are increased considerably by achieving any educational
level (except for postgraduate education) rather to holding a first degree.
In addition, for females in rest urban areas the odds of being unemployed compared to
being employed are increased by achieving any educational level (postgraduate education is not available) rather to holding a first degree. For females aged less than 30 the
odds of being unemployed compared to being employed are increased by completing
postgraduate education rather to holding a first degree. For females aged more than 30
the odds of being unemployed compared to being employed are increased by achieving
any educational level (except for postgraduate education) rather to holding a first degree.

136

Journal of Economic and Social Studies

�Evaluating the employment probability: Men and women in comparative perspective
in Attica and Central Macedonia

Table 5. Results for Central Macedonia (1988)
Robustness checks

MALES

Exp(bk)
0.475
0.34
0.109
0.082

Aged less than
30
Sig.
Exp(bk)
0
0.205
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

0.843 n.a.

n.a.

0.84

1.292 0.74

0.085

-

-

-

-

-

Thessaloniki

Rural areas
Sig.
0.18
0.01
0
0

Aged 30 and
more
Sig.
Exp(bk)
0
0.197
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

s.e.
0.21
0.17
0.28
0.27

Sig.
0
0
0
0

Exp(bk)
0.252
0.393
0.223
0.338

Sig.
0
0
0
0.01

Exp(bk)
0.223
0.32
0.199
0.383

-0.13 1.05

0.9

0.88

0.87

University
graduates

-

-

-

-

TEI graduates

0.151 0.34

0.65

1.163 0.57

1.254 0.47

0.407 0.42

0.725 0.26

2.402

12 years of
schooling

0.061 0.22

0.78

1.063 0.93

0.977 0.41

0.538 0.06

0.617 0.01

4.375

9 years
compulsory
education

-0.76 0.24

0

0.468 0.02

0.459 0.05

0.211 0

0.255 0.06

3.118

Primary school
graduates and -0.65 0.21
below

0

0.521 0.34

0.783 0.03

0.208 0

0.194 0.02

3.395

Constant

0

0.364 0

0.44

0.605 0

0.486 0

0.028

Sig.

Robustness checks
Rest of urban Aged less than Aged 30 and
Thessaloniki
areas
30
more
Exp(bk) Sig.
Exp(bk) Sig.
Exp(bk) Sig.
Exp(bk) Sig.
Exp(bk)

Variables
Marital status
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD
holders

bk
-1.38
-0.94
-1.5
-1.09

-

-1.01 0.2

FEMALES
s.e.

-

0.48

-

Variables

bk

Marital status

-0.73 0.14

0

0.481 0

0.491 0

0.387 0

0.388 0

0.46

Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD
holders
University
graduates
TEI graduates

-0.68
-1.27
-1.78

0
0
0

0.507
0.28
0.169

0.4
0.244
0.187

0.619
0.243
0.332

n.a.
n.a.
n.a.
n.a.

n.a.
n.a.
n.a.
n.a.

n.a.
n.a.
n.a.
n.a.

0.68

1.404 0.67

1.418 n.a.

n.a.

0.35

3.249 0.73

0.064

-

-

-

-

-

12 years of
schooling
9 years
compulsory
education
Primary school
graduates and
below
Constant

Volume 3

0.15
0.2
0.23

0.339 0.82
-

-

0
0
0

-

-

0.14

0.688 0.03

0.471 0.95

1.036 0.03

0.528 0.47

1.592

-0.19 0.17

0.26

0.829 0.07

0.702 0.3

1.552 0

0.506 0

3.983

-0.19 0.21

0.35

0.824 0.58

0.866 0.24

1.798 0

0.427 0

8.312

-0.57 0.17

0

0.567 0.27

0.784 0.31

1.51

0.3

0.07

2.074

-0.43 0.15

0

0.648 0.09

0.751 0.13

0.567 0.36

0.87

0

0.049

Spring 2013

-

n.a.
n.a.
n.a.
n.a.

-0.37 0.25

Number 1

-

0.15
0
0.01

0

-

137

�Table 6 displays the odds of being unemployed at Central Macedonia in 1992. Parameter
estimates are significant at 1% level except for education (lyceum graduates are significant for women) and training. Marital status for females is significant at 5% level.
Gender differences are present only for the level of education and training. Both for
males and females, the odds of being unemployed compared to being employed are
increased by being not-married rather than married. Both for males and females, the
odds of being unemployed compared to being employed are decreased by being 25
years old or more. For males, the odds of being unemployed compared to being employed are increased by completing secondary education or being an MSc or PhD
holder rather to holding a first degree. For females, the odds of being unemployed
compared to being employed are increased by achieving any educational level (except
for postgraduate education) rather to holding a first degree. For males, the odds of being unemployed compared to being employed are increased by completing an apprenticeship rather to not participating in training courses. For females, the odds of being
unemployed compared to being employed are not increased only by completing CVT.
The robustness checks provide evidence of structural validity and vary according to the
distribution of the population. In general, they indicate that the odds for employment
are increased for higher education graduates aged 30 and more or leaving in Thessaloniki
(TEI graduates also enjoy increased odds in some categories). Moreover, apprenticeship
increases the odds for employment for males that do not reside in Thessaloniki.
A notable difference for males of Thessaloniki - as compared to those of rural areas
- is in the increased odds of being unemployed compared to being employed by
completing all educational levels (except for 9 years compulsory education) rather
to holding a first degree. Also for males in rural areas the odds of being unemployed
compared to being employed are significantly decreased by completing an apprenticeship rather to not participating in training courses. Another notable difference is
for males aged more than 30 years old - as compared to those less than 30 - where
the odds of being unemployed compared to being employed are not increased only
by being a TEI graduate rather to holding a first degree. MSc or PhD holders have
greater odds to be unemployed compared to those holding a first degree.
The difference between Thessaloniki and the rest of urban areas for females is in the decreased odds of being unemployed by being a TEI graduate rather to holding a first degree.
Another difference regarding the rest of urban areas is in the increased odds of apprenticeship. The differences between the age groups of females are in the decreased odds of being

138

Journal of Economic and Social Studies

�unemployed by being a postgraduate or completing up to nine years of schooling (two categories) rather to holding a first degree for the group of less than 30 years old. Another difference is in the increased odds of apprenticeship for the group of 30 years old or over, and
the increased odds of intra-firm and popular training for the group of less than 30 years old.
Table 6. Results for Central Macedonia (1992)
Robustness checks

MALES
Variables
Marital status
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD
holders
University
graduates

bk
-1.18
-0.42
-1.23
-1.01

s.e. Sig.
0.192 0
0.165 0.01
0.267 0
0.259 0

Sig.
0
0.01
0
0

Sig.
0.02
0.06
0.25
0.56

Exp(bk)
0.292
0.569
0.231
0.287

Aged 30 and
more
Sig.
Exp(bk)
0
0.235
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

3.333 n.a.

n.a.

0.74

1.601 0.18

2.964

-

-

-

-

-

-

Non-participation
in trainings
course(s) ever

Volume 3

Exp(bk)
0.174
0.397
0.359
0.625

Rural areas

0.979 0.653 0.13 2.661 0.08
-

-

-

TEI graduates
-0.1 0.363 0.79
12 years of
0.128 0.232 0.58
schooling
9 years compulsory
-0.42 0.261 0.11
education
Primary school
graduates and
-0.33 0.231 0.15
below
Apprenticeship
0.342 0.639 0.59
Intra-firm training -4.22 9.881 0.67
CVT
-0.79 1.027 0.44
Popular training -3.68 16.22 0.82

Constant

Exp(bk)
0.307
0.658
0.293
0.365

Aged less than
30
Sig.
Exp(bk)
0
0.332
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

Thessaloniki

-

-

-1.48 0.24 0

Number 1

-

-

-

0.907 0.57

1.282 0.27

0.253 0.8

0.895 0.28

0.321

1.136 0.31

1.339 0.17

0.342 0.41

0.784 0.28

1.528

0.66

0.78

0.04

0.191 0

0.311 0.07

2.056

0.717 0.14

1.551 0.01

0.133 0

0.377 0.34

1.395

1.408
0.015
0.455
0.025

0.75
0.63
0.4
0.79

1.418
0.042
0.421
0.052

0.73
0.92
0.8
0.96

0.008
0.027
0.014
0.17

0.89
0.76
0.78
n.a.

1.122
0.019
0.748
n.a.

0.59
0.77
0.58
0.84

1.743
0.035
0.026
0.038

-

-

-

-

-

-

-

-

-

0.47

0.229 0

Spring 2013

0.244 0.37

0.525 0

0.308 0

0.062

139

�FEMALES
Variables
bk
s.e. Sig.
Marital status
-0.3 0.146 0.04
Aged 15-24
Aged 25-34
-0.78 0.157 0
Aged 35-44
-1.15 0.193 0
Aged 45-64
-1.82 0.224 0
MSc or PhD
-0.46 1.047 0.66
holders
University
graduates
TEI graduates
0.295 0.25 0.24
12 years of
0.52 0.191 0.01
schooling
9 years compulsory
0.237 0.23 0.3
education
Primary school
graduates and
0.121 0.195 0.54
below
Apprenticeship
0.551 0.468 0.24
Intra-firm training 0.149 0.845 0.86
CVT
-0.73 1.081 0.5
Popular training 1.133 1.144 0.32
Non-participation
in trainings
course(s) ever
Constant
-1.13 0.195 0

Exp(bk)
0.74
0.457
0.315
0.162

Robustness checks
Rest of urban
Thessaloniki
areas
Sig.
Exp(bk) Sig.
Exp(bk)
0.17 0.781 0.03 0.449
0
0.424 0
0.304
0
0.253 0
0.229
0
0.165 0
0.159

Aged less than
30
Sig.
Exp(bk)
0
0.575
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

Aged 30 and
more
Sig.
Exp(bk)
0.12 0.673
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

0.629 0.66

0.63

n.a.

n.a.

0.69

0.022 0.71

1.497

-

-

-

-

-

-

-

-

-

1.344 0.48

0.797 0.08

3.125 0.35

1.33

0.93

1.046

1.682 0.08

1.464 0.08

2.851 0.05

1.59

0.01

2.3

1.268 0.37

1.281 0.44

1.702 0.77

0.919 0

3.503

1.128 0.02

1.73

0

5.857 0.06

0.563 0.06

1.768

1.735
1.161
0.48
3.104

0.99
0.45
0.58
0.26

0.996
0.017
0.026
3.746

0.6
n.a.
0.71
n.a.

1.164
n.a.
0.035
n.a.

0.17
0.73
0.74
0.64

0.231
1.353
0.689
5.585

0
0.77
0.74
0.72

6.934
0.024
0.027
0.02

-

-

-

-

-

-

-

-

-

0.324 0

0.371 0.14

0.397 0

0.323 0

0.061

Results for Attica
Table 7 displays the odds of being unemployed at Attica in 1988. Parameter estimates are significant at 1% level except for some groups in education. Significant
estimates for education groups regarding males are those for MSc or PhD holders
and 9 years compulsory education (10% level). The latter category has also significant estimates for females (3% level).
Gender differences are present only for the level of education. Both for males and
females, the odds of being unemployed compared to being employed are increased
by being not-married rather than married. Both for males and females, the odds of
being unemployed compared to being employed are decreased by being 25 years old
or more. For males, the odds of being unemployed compared to being employed
are decreased by any level of education attained rather to holding a first degree. For

140

Journal of Economic and Social Studies

�Evaluating the employment probability: Men and women in comparative perspective
in Attica and Central Macedonia

females, the odds of being unemployed compared to being employed are increased
by completing all levels until secondary education rather to holding a first degree.
The robustness checks provide evidence of structural validity and vary according to
the distribution of the population. They indicate that the odds for employment are
increased for higher education graduates/postgraduates aged 30 and more or not
leaving in Athens (the latter is not demonstrated for males).
A notable difference for males of rest urban areas is in the increased odds of being
unemployed compared to being employed by being 45-64 years old rather to being
15-24 years old. In addition, the level of education attained has a different effect on
each age group. For males aged 30 or more, the odds of being unemployed compared to being employed are increased considerably by achieving any educational
level (except for postgraduate education) rather to holding a first degree.
A notable difference for females between Athens and semi-urban areas is in the increased
odds of being unemployed compared to being employed for any level of education attained especially by being a TEI graduate - rather to holding a first degree. For females
aged 30 or over, the odds ratios of being unemployed compared to being employed are
increased considerably by achieving any educational level rather to holding a first degree.
Table 7. Results for Attica (1988)
MALES
Variables
Marital status
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD
holders
University
graduates
TEI graduates
12 years of
schooling
9 years
compulsory
education
Primary school
graduates and
below
Constant

Volume 3

bk
-1.35
-0.64
-1.03
-0.84

s.e.
0.1
0.1
0.14
0.14

Robustness checks
Rest of urban
Athens
areas
Sig.
Exp(bk) Sig.
Exp(bk)
0
0.262 0.01 0.213
0
0.512 0.93 0.953
0
0.336 0.74 0.775
0
0.416 0.93 1.068

Aged less than
30
Sig.
Exp(bk)
0
0.169
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

Aged 30 and
more
Sig.
Exp(bk)
0
0.32
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

Sig.
0
0
0
0

Exp(bk)
0.259
0.527
0.358
0.432

-0.83 0.47

0.08

0.436 0.09

0.452 0.82

0.007 0.26

0.417 0.63

0.748

-

-

-

-

-

-

-

-0.04 0.14

0.75

0.957 0.68

0.944 0.55

0.518 0

0.558 0

2.071

-0.12 0.11

0.29

0.886 0.39

0.904 0.69

0.691 0

0.593 0.02

1.639

-0.25 0.13

0.05

0.779 0.16

0.831 0.24

0.323 0

0.446 0

1.898

-0.11 0.11

0.33

0.895 0.62

0.943 0.5

0.57

0

0.437 0

1.979

-1.08 0.11

0

0.339 0

0.35

0.308 0

0.436 0

0.06

-

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-

-

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�Stavros RODOKANAKIS / Vasileios A. VLACHOS

FEMALES
Variables
Marital status
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD
holders
University
graduates
TEI graduates
12 years of
schooling
9 years
compulsory
education
Primary school
graduates and
below
Constant

bk
-0.26
-1.17
-1.58
-2.22

s.e.
0.08
0.09
0.11
0.15

Robustness checks
Semi-urban
Athens
areas
Sig.
Exp(bk) Sig.
Exp(bk)
0.01 0.786 0.36 0.576
0
0.302 0.51 0.653
0
0.204 0.01 0.085
0
0.113 0.02 0.056

Aged less than
30
Sig.
Exp(bk)
0
0.453
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

Aged 30 and
more
Sig.
Exp(bk)
0.37 1.142
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.

Sig.
0
0
0
0

Exp(bk)
0.772
0.31
0.205
0.109

-0.08 0.39

0.85

0.928 0.83

0.921 n.a.

n.a.

0.5

0.669 0.23

1.94

-

-

-

-

-

-

-

-

-0.18 0.13

0.16

0.838 0.12

0.819 0.09

8.868 0

0.562 0

2.619

0.06

0.09

0.52

1.062 0.59

1.052 0.29

3.311 0.05

0.803 0

2.912

0.282 0.13

0.03

1.326 0.01

1.424 0.48

2.415 0.86

1.028 0

4.828

0.117 0.11

0.28

1.124 0.2

1.154 0.1

6.077 0

0.597 0

2.749

-0.44 0.09

0

0.645 0

0.652 0.07

0.125 0

0.627 0

0.036

-

-

-

-

Table 8 displays the odds of being unemployed at Attica in 1992. Parameter estimates are significant at 1% level except for some groups in education and all training groups. With regard to males only MSc or PhD holders (10% level) and primary school graduates and below (3% level) have significant estimates. Education
categories with significant estimates for females are 12 years of schooling, 9 years
compulsory education and primary school graduates and below (all at 1% level).
There are no gender differences regarding the values of odds (e.g. less or more than
1) for the general model. Both for males and females, the odds of being unemployed
compared to being employed are increased by being not-married rather than married.
Both for males and females, the odds of being unemployed compared to being employed are decreased by being 25 years old or more. Both for males and females, the
odds of being unemployed compared to being employed are increased for achieving
any level of education other than a first degree. Both for males and females the odds
of being unemployed compared to being employed are increased by completing CVT.
The robustness checks provide evidence of structural validity and vary according to
the distribution of the population. Males in rest of urban areas completing primary

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�Evaluating the employment probability: Men and women in comparative perspective
in Attica and Central Macedonia

education have increased odds of being employed compared to holding a first degree. In addition, for males in rest of urban areas apprenticeship seems to be very
important in employment prospects. Holding a first degree is particularly important
for the employment prospects of males aged more than 30 years old. The picture
for females is more integrated as only two estimators resulting from the age groups
robustness tests deviate from the general model.
A notable difference for males of rest of urban areas - as compared to those of Athens
- is in the decreased odds of being unemployed compared to being employed when
being a primary school graduate rather to holding a first degree. Also for males in
Athens - compared to the general findings - the odds of being unemployed compared to being employed are increased by completing an apprenticeship rather to
not participating in training courses (the opposite is indicated for males in rest of
urban areas). Moreover, males aged 30 and more have more odds to be employed
by holding a first degree. On the other hand, males aged less than 30 have a greater
odd to be employed only over those having finished postgraduate studies. Also for
males aged more than 30 years old the odds of being unemployed compared to being employed are increased by completing CVT.
The residential robustness tests for females are not differentiated from the general model (e.g. the values of odds remain for each variable less or more than 1).
Furthermore, females less than 30 that hold a first degree have decreased odds to
employment only against postgraduates. Females aged 30 and more have increased
odds to employment by holding a first degree. Finally, for females aged more than
30 years old the odds of being unemployed compared to being employed are increased by completing CVT rather to not participating in training courses. About
the non-impact of training programmes on the Greek labour market at national and
regional (NUTS-2) level see also Rodokanakis, 2009 &amp; 2010; Rodokanakis and
Tryfonidis, 2009; Rodokanakis and Vlachos, 2012.

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Table 8. Results for Attica (1992)
MALES
Variables
Marital status
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD holders
University graduates
TEI graduates
12 years of schooling
9 years compulsory
education
Primary school
graduates and below
Apprenticeship
Intra-firm training
CVT
Popular training
Non-participation in
trainings course(s) ever
Constant

bk
s.e. Sig.
-1.13 0.107 0
-0.97 0.099 0
-1.33 0.142 0
-1.04 0.142 0
0.655 0.371 0.08
0.104 0.173 0.55
0.175 0.125 0.16

Exp(bk)
0.322
0.379
0.263
0.355
1.925
1.109
1.191

144

Aged less
than 30
Sig. Exp(bk)
0
0.209
n.a. n.a.
n.a. n.a.
n.a. n.a.
n.a. n.a.
0.68 1.333
0.8 0.942
0.8 0.955

Aged 30 and
more
Sig. Exp(bk)
0
0.363
n.a. n.a.
n.a. n.a.
n.a. n.a.
n.a. n.a.
0.053 2.389
0.948 1.018
0.027 1.48

0.079 0.142 0.58 1.082 0.58 1.088 0.92

1.073 0.42 0.854 0.032 1.55

0.301 0.127 0.02 1.351 0

1.479 0.57

0.681 0.1

0.69

0

-0.06 0.541 0.92
-3.73 8.057 0.64
0.522 0.559 0.35
-2.72 12.81 0.83
-

-

-

-1.27 0.131 0

2.151

0.945
0.024
1.685
0.066

0.91
0.64
0.32
0.83

1.061
0.024
1.745
0.069

0.82
n.a.
n.a.
n.a.

0.007
n.a.
n.a.
n.a.

0.91
0.6
0.72
n.a.

1.075
0.017
0.679
n.a.

0.695 0.67
0.854 0.034
0.053 3.326
0.856 0.022

-

-

-

-

-

-

-

-

0.281 0

FEMALES
Variables
Marital status
Aged 15-24
Aged 25-34
Aged 35-44
Aged 45-64
MSc or PhD holders
University graduates
TEI graduates
12 years of schooling
9 years compulsory
education
Primary school
graduates and below
Apprenticeship
Intra-firm training
CVT
Popular training
Non-participation in
trainings course(s) ever
Constant

Robustness checks
Rest of urban
Athens
areas
Sig. Exp(bk) Sig.
Exp(bk)
0
0.304 0.09 0.412
0
0.361 0.06 0.414
0
0.246 0.53 0.669
0
0.337 0.42 0.592
0.06 2.011 n.a.
n.a.
0.72 1.069 0.1
3.846
0.16 1.202 0.91 1.09

0.292 0.06

0.269 0

Robustness checks
Semi-urban
Athens
areas
Sig. Exp(bk) Sig.
Exp(bk)
0.01 0.807 0.17 0.516
0
0.393 0.13 0.459
0
0.239 0.04 0.29
0
0.174 0
0.085
0.8 1.151 n.a.
n.a.
0.12 1.254 0.75 1.291
0
1.532 0.53 1.557

0.264 0

Aged less
than 30
Sig. Exp(bk)
0
0.533
n.a. n.a.
n.a. n.a.
n.a. n.a.
n.a. n.a.
0.54 0.521
0.08 1.362
0
1.713

0.06

Aged 30 and
more
Sig. Exp(bk)
0.676 0.947
n.a. n.a.
n.a. n.a.
n.a. n.a.
n.a. n.a.
0.282 1.962
0.115 1.459
0
1.892

s.e. Sig.
bk
-0.23 0.083 0.01
-0.9 0.091 0
-1.41 0.111 0
-1.79 0.127 0
0.094 0.546 0.86
0.197 0.141 0.16
0.392 0.105 0

Exp(bk)
0.795
0.405
0.245
0.167
1.099
1.217
1.48

0.691 0.135 0

1.995 0

2.031 0.48

1.782 0

2.177 0

2.913

0.949 0.114 0

2.584 0

2.533 0.02

4.819 0

2.405 0

3.064

-0.33 0.509 0.51
-3.14 6.016 0.6
0.364 0.849 0.67
n.a. n.a. n.a.

0.717
0.043
1.439
n.a.

0.31
0.6
0.65
n.a.

0.565
0.044
1.468
n.a.

n.a.
n.a.
n.a.
n.a.

n.a.
n.a.
n.a.
n.a.

0.95
0.68
0.21
n.a.

0.963
0.02
4.78
n.a.

0.548 0.539
0.756 0.019
0.651 0.023
n.a. n.a.

-

-

-

-

n.a.

n.a.

-

-

-

-

-

-0.99 0.109 0

0.371 0

0.358 0.24

0.439 0

0.274 0

0.061

Journal of Economic and Social Studies

�Evaluating the employment probability: Men and women in comparative perspective
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Conclusions
Binary logistic regression is employed in order to determine the effects of gender,
marital status, age, education and training - the latter only for 1992 - on unemployment/employment. There are separate analyses with respect to gender for each region and for each year. The robustness checks based on residential and age grouping
provide evidence of structural validity and vary according to the distribution of the
population.
Regarding marital status for both areas in 1988 and 1992, the odds of being unemployed increase for non-married. Moreover, for both areas and for the same period,
the most vulnerable age group to unemployment is between 15-24 years of age.
Gender differences both in Central Macedonia and Attica for 1988, are present only
for the level of education. For Central Macedonia, the individuals most vulnerable
to unemployment are females holding a postgraduate degree and males that have
achieved a TEI degree. For Attica, the individuals most vulnerable to unemployment are males holding a first degree and females that have attended up to secondary education.
While there are not any gender differences in Attica for 1992, gender is differentiated to the level of education and training in Central Macedonia for the same
year. For Central Macedonia, the individuals most vulnerable to unemployment
are males holding a postgraduate degree or completed secondary education, and
females completing any level of education up to achieving a TEI degree. For Attica,
the individuals less vulnerable to unemployment are those holding a first degree.
Regarding training, for Central Macedonia, the males most vulnerable to unemployment are those that have completed an apprenticeship and the females less vulnerable to unemployment are only those that have completed CVT. On the other
hand, the odds for males and females in Attica of being unemployed compared to
being employed are increased by completing CVT.
Higher education attainment (over TEI) for females in Central Macedonia in 1992,
and in Attica in 1988 for females increases the odds for employment. Both male and
female university graduates in Attica in 1992 have increased odds to be employed.
It would not be proper to conclude on the effect of training on the odds of being
employed in 1992, as active population in Greece was not interested in participating to training programmes (the Greek LFS is representative of active population

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in Greece). However, even if we were to rely on these insignificant estimators, there
would be a mixed outcome since different forms of training - both across sexes and
regions - seem to increase the odds of being employed.
Since the sample does indicate very little participation in training programmes, we
cannot obtain significant results. It seems, however, that the relative preference of
both males and females for apprenticeship did not pay off, since the odds of being
unemployed compared to being employed are increased. Nevertheless, the choice of
no participation to training programmes is not always the best choice, as CVT both
for males and females, and intra-firm training and popular training have decreased
odds of being unemployed.
The research would merit attention of a wider international readership, since the
paper does offer evidences that could be useful for comparative research among
European regions, especially comparing CSFs.

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Volume 3

Number 1

Spring 2013

151

�</text>
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                <text>Evaluating the employment probability:  Men and women in comparative perspective  in Attica and Central Macedonia</text>
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Vlachos, Vasileios A.</text>
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                <text>This paper investigates unemployment risk and job prospects of males  and females in the two Greece’s most populated regions - Attica  and Central Macedonia - during the implementation of the first  Community Support Framework (1989-1993). Originality lies  in the separate analyses for males and females. The sample is based  on anonymous records (micro-data) of the Labour Force Survey for  both employed and unemployed at Nomenclature of Territorial Units  for Statistics-2 level. Firstly, social and demographic characteristics  increasing the odds of being employed are examined - i.e. age, marital  status, residence, education and training. Secondly, the issue of whether  University graduates have lesser odds of being employed is investigated.  The findings indicate that gender differences in odds of being employed  appear mainly across education levels. Moreover, higher education  attainment increases the odds of being employed particularly for  females. The paper delivers conclusions that can be used for comparative  research among European regions.</text>
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                    <text>Evaluation of a Vehicle Acceleration Behavior through
Decision Tree Learning
Đhsan Ö mür Bucak
Fatih University, Engineering Faculty,
Computer Engineering Department,
34500 Buyukcekmece,Istanbul, Turkiye
ibucak@fatih.edu.tr
Abstract: The faster that a motor vehicle can accelerate to a high velocity is crucial to
its performance and handling. The acceleration of the vehicle is important to know
because it tells us how the car handles during merging and evasive maneuvering.
Decision trees are powerful and popular tools for classification and prediction. The
attractiveness of decision trees is due to the fact that, in contrast to neural networks,
decision trees represent rules. Rules can readily be expressed so that humans can
understand them after a brief explanation. Therefore, the objective of this paper is to
develop a systematic method using decision trees of machine learning to evaluate
acceleration behavior of motor vehicles based on the forces acting on the vehicle, i.e.
vehicle dynamics.
Keywords: Vehicle Acceleration, Vehicle Dynamics, Decision Tree Learning,
Machine Learning.

Introduction
A vehicle can go faster if it has more horsepower. In reality, there are many aspects to a vehicle
acceleration besides it's horsepower. One other major aspectis vehicle weight.Ifthe vehicle weightislowered,
itsacceleration, braking, and handling capabilites will beincreased. Given the same power and adequatetraction,
a light vehicle will accelerate quicker than a heavier vehicle. Figure 1 shows such an acceleration performance,
specifically 0-60 mph (=26.66 m/s) passing time, for various vehicle weights from 1100 kg to 1700 kg with all
other parameters unchanged on a simple vehicle dynamics modelrealized on Matlab-Simulink (Matlab, 2008). A
very quick street or race car usually combines excellent power with less weight.
The most current vehicle dynamics controllers attempt to ensure stability by keeping lateral acceleration,
sometimes, longitudinal acceleration, and yaw within reasonable bounds (Bauer, 1999a; 1999b; Jurgen, 1999;
Karri and Butler, 2002). The faster that a vehicle can accelerate to a high velocity is crucialto its performance
and handling. The acceleration of a vehicle is important to know because it tells us how the vehicle performs
during merging and evasive maneuvering. The launching performances are the acceleration performance with
variousthrottle positions and the transient characteristics of vehiclecreep and throttletip-in. Every time a new or
redesigned performance car enters the marketplace,itis accompanied by a number; specifically,the number of
seconds it takes to reach 60 miles per hour (26.66 meters per second) from a standing start. So many drivers
want to push that pedal allthe way to the metal, as much of the time as possible; because they do not want to
have trouble merging into an expressway or take endless seconds to pass another vehicle on a two-lane road.
Weak acceleration is an issue that needs to be addressed when minicars,including those powered by batteries,
begin to emerge into the world market. What matters is not the ability to reach 60 miles per hour in a few
seconds. Allthat countsisthe abilityto accelerate at midrange speeds:from 30 to 50 mph, or 50 to 70 mph. That
is where energetic acceleration has a valid purpose, and is essential for safe motoring. Charts display
acceleration times not only from 0 to 60 mph, but for a selection of useful speed ranges. Road tests include a
broad set oftimed acceleration runs.
Excess acceleration and deceleration need to be detected and mitigated within the required response time
particularlyinthe case of hybrid electric vehicles (HEVs).There are a variety of simulation programs developed
toinvestigatethelaunching performance in variouslaunching conditionsthrough the use of mathematical models
of each driveline component (Kim, 2005). Automotive manufacturers use such performance programs to
evaluate their vehicles during product design and development stages so that they can meet the stringent
govermentalregulations on performance,fuel economy, and emissions before the vehicleis actuallylaunched to
the marketplace. Practical evaluation of acceleration behavior through the rulistic expression of decision trees
helps to expose the major factors that affectthe performance-related design parameters so thatthe redesign can
be made more productively and effectively in orderto prevent vehicle recalls and/or customer dissatisfaction.
395

�0-26.66 m/s passing time for various vehicle weights
100
90
80

1100 kg
1300 kg
1500 kg
1700 kg

Vehicle speed m/s

70
60
50
40
30
20
10
0

0

10

20

30

40

50
Time s

60

70

80

90

100

Figure 1. Acceleration performance for various vehicle weights.
This paperis based on decision tree learning used to evaluate vehicle dynamic parameters for describing
an accelerating vehicle behavior.
The remaining of the paper is arranged as follows. Section 2 briefly explains the basics of the decision
tree learning including the definition, the construction, attributes as classifiers, entropy and information gain.
Section 3 describes the method. Section 4 presents the numerical experiments and simulations. Finally,
conclusions are drawn in Section 5.

Decision Tree Learning
Decision trees are powerful and popular tools for classification and prediction. One of the several
advantages of decision trees is that they are simple to understand and interpret. This is mainly due to the fact
that,in contrastto neural networks, decision trees represent rules. These rules can readily be expressed so that
people can understand them after a brief explanation (Gamberger and Smuc, 2001). Decision tree learning, used
in data mining and machine learning, uses a decision tree as a predictive model which maps observations about
an item to conclusions about the item's target value. More descriptive names for such tree models are
classification tree (discrete outcome) or regression tree (continuous outcome). In these tree structures, leaves
represent classifications and branches represent conjunctions of features that lead to those classifications
(Breiman et al., 1984; Yuan and Shaw, 1995; Mitchell, 1997; Berikov and Litvinenko, 2003; Menzies and Hu,
2003, Wikipedia, 2009).
Decision tree is a classifier in the form of a tree structure, where each node is either (Gamberger and
Smuc, 2001):
•
a leaf node -indicatesthe value ofthe target attribute (class)of examples, or
•
a decision node - specifies some test to be carried out on a single attribute-value, with one
branch and sub-tree for each possible outcome ofthe test.
A decision tree can be used to classify an example by starting atthe root ofthetree and moving through it
untilaleaf node, which providesthe classification oftheinstance. Most algorithms that have been developed for
learning decision trees are variations on a core algorithm that employs a top-down, greedy search through the
space of possible decision trees. Decision tree programs construct a decision tree from a set of training cases
(Gamberger and Smuc, 2001).
The estimation criterion in the decision tree algorithm is the selection of an attribute to test at each
decision node in the tree. The goalisto selectthe attribute thatis most useful for classifying examples. A good
quantitative measure of the worth of an attribute is a statistical property called information gain that measures
how wella given attribute separatesthetraining examples according totheirtarget classification. This measure is
used to select among the candidate attributes at each step while growing the tree.In orderto define information
gain precisely, we need to define a measure commonly used in information theory, called entropy, that
characterizes the (im)purity of an arbitrary collection of examples. Given a set S, containing only positive and
negative examples of some target concept (a 2 class problem), the entropy of set S relative to this simple, binary
classification is defined as:
Entropy( s ) = − p p log 2 p p − pn log 2 pn , (1)
where pp is the proportion of positive examples in S and pn is the proportion of negative examples in S
(Mitchell 1997; Gamberger and Smuc, 2001).
One interpretation of entropy from information theory is thatit specifies the minimum number of bits of
396

�information needed to encode the classification of an arbitrary member of S (i.e., a member of S drawn at
random with uniform probability). For example, if pp is 1, the receiver knows the drawn example will be
positive, so no message need be sent, and the entropy is 0. On the other hand, if pp is 0.5, one bitis required to
indicate whether the drawn example is positive or negative. If pp is 0.8, then a collection of messages can be
encoded using on average less than 1 bit per message by assigning shorter codes to collections of positive
examples and longer codes to lesslikely negative examples (Mitchell 1997; Gamberger and Smuc, 2001).
If the target attribute takes on c different values rather than the special case discussed above where the
target classification takes on 2 different values, i.e., binary, then the entropy of S relative to this c-wise
classification is defined as
c

Entropy( S ) = ∑ − pi log 2 pi ,

(2)

i =1

where pi isthe proportion of S belonging to classi. Note the logarithm is still base 2 because entropy is a
measure of the expected encoding length measured in bits. Note also that if the target attribute can take on c
possible values,the maximum possible entropy islog2 c (Mitchell 1997; Gamberger and Smuc, 2001).
Given entropy as a measure of the impurity in a collection of training examples, we can now define a
measure of the effectiveness of an attribute in classifying the training data. The measure we will use, called
information gain,is simply the expected reduction in entropy caused by partitioning the examples according to
this attribute. More precisely, the information gain, Gain (S, A) of an attribute A, relative to a collection of
examples S,is defined as
Sv
Gain( S , A ) = Entropy( S ) −
Entropy( Sv )
(3)
∑
v∈Value( A ) S
where Values(A)isthe set of allpossible values for attribute A, and Sv isthe subset of S for which attribute
A has value v (i.e.,Sv = {s  S | A(s) = v}). Note the firstterm in the equation for Gain isjustthe entropy of the
original collection S and the second term isthe expected value ofthe entropy after S is partitioned using attribute
A. Gain (S,A) is therefore the expected reduction in entropy caused by knowing the value of attribute A. Put
another way, Gain(S,A) is the information provided about the target attribute value, given the value of some
other attribute A. The value of Gain(S,A) is the number of bits saved when encoding the target value of an
arbitrary member of S, by knowing the value of attribute A (Mitchell 1997; Gamberger and Smuc, 2001).
The process of selecting a new attribute and partitioning the training examples is now repeated for each
non-terminal descendant node,this time using only the training examples associated with that node. Attributes
that have been incorporated higher in the tree are excluded, so that any given attribute can appear at most once
along any path through the tree. This process continues for each new leaf node until either of two conditions is
met:
1.
every attribute has already been included along this path through the tree, or
2.
the training examples associated with this leaf node all have the same target attribute value
(i.e.,their entropy is zero).
Practical issues in learning decision trees include determining how deeply to grow the decision tree,
handling continuous attributes, choosing an appropriate attribute selection measure, handling training data with
missing attribute values, handing attributes with differing costs, and improving computational efficiency.
Overfitting is a significant practical difficulty for decision tree learning and many otherlearning methods. There
are several approaches to avoiding overfitting in decision tree learning (Schaffer, 1991; Mitchell 1997;
Gamberger and Smuc, 2001).

Method and Data
Vehicle dynamics describes the forces acting on the vehicle that resultin its motion. Tractive effort and
resistance are the two primary opposing forces that determine the performance characteristics of road vehicles.
The engine in the vehicle supplies the tractive-effort force, and the magnitude of this force is restricted by
internalfriction losses. The difference between thetractive effortand the resulting resisting forceisthe netthrust
Fnet available for accelerating vehicle. The forces of air resistance, rolling resistance, grade resistance, and
friction resistance oppose the engine tractive force and limit the acceleration capability of the vehicle (Wong,
1978; Snare, 2002).
Maximum tractive force, Ftotal,isthe maximum amount of force thatthe engine can supply to the tires of
the drive axles. Therefore,the maximum tractive force delivered to the tires ofthe drive axlesinthe chosen gear
combination can be expressed as follows:
Ftotal = ( Tm .Tr .Rr .Rn .Grx ) / Ts ,
(4)
where Tm represents maximum torque (Nm), Tr transfer case or auxiliary gear box ratio, Rr final drive ratio,
397

�Rn drive axles efficiency (%),Gr1 gear ratio forthe first gear (i.e.,x=1), and Ts tire size (radius) (m).
Required pullforce, Freq,isthe force required to cause the vehicleto roll. Hence,the required pullforce is
calculated by the following equation:
Freq = overcome friction + Accelerate+ C lim b slope or,
(5)

Freq = µ R .W g . cos( sl ) + ( W g / g ).a + W g . sin( sl ) ,
where µ R represents coefficient of rolling friction, Wg gross vehicle weight (mTon), g gravitation
( m / s ) ,and sl maximum slope in route (degree).
In this paper acceleration behavior is evaluated based on the 37500 data, which are formed by the
combination ofthe maximum torque, weight, gear ratio,finaldrive ratio, maximum slope and tire size variables.
These variables,also known as attributes,are expressed inthe form of one-dimensional arrays. The same number
of elements of each attribute array represents a dynamic parameters of a unique vehicle. Thereforethe number of
different vehicletypesinthe evaluation processis determined by the size ofthe arrays, allin equallength. Drive
axles efficiency is taken constant that is set at 90%. The efficiency slightly reduces due to internal friction
although the absolute traction between tires and road surface increases. Coefficient of rolling friction is also
considered constant,and is set at 0.03 valid for most ordinary cartires on asphalt pavements. The other constant
parameter is transfer case. Transfer case or auxiliary gear is intended to select two wheel drive or four wheel
drive operations and may contain one or more sets of low range gears. Low range gears slow down the vehicle
and increase the torque available at the axles. Therefore, they are used during slow speed or extreme off road
maneuvers. Although on all drive sports cars this feature is absent, we still consider the equations that include
the transfer case ratio, but we decide to setthe ratio 1:1 for allthe vehicle types considered. However,transfer
case ratio has had no effect on our conclusions when we setit at 2:1 for the purpose to exhibit and observe its
role in describing the complete acceleration behavior. Itis assumed thatthe first gear is engaged as the lowest
gear and used as such in the entire calculations. The limits of acceleration variable forthe evaluations have been
determined through acceleration vs speed charts (Snare, 2002). The speed calculations have not taken into
account any environmentalforces such as wind or state (and incline) ofthe road.
2

Numerical Experiments and Simulations
In this study there are seven determined attributes used to evaluate the vehicle acceleration behavior.
These attributes are maximum acceleration, weight,torque,gear ratio,final drive ratio,tire size, and slope. The
attributes are used to calculate the leaf and decision nodes, and the branches in the tree are formed by the
attribute values, which are simply one-dimensional array elements. Each element holds a unique branch value.
For each and every acceleration value in the acceleration array, the difference between the total tractive force
and the required pullforce is checked whetherthe resulting difference between the forces is sufficient enough to
accelerate the vehicle when needed on the road. If the difference is positive, the further analysis is done to
determine the effects ofthe variables mentioned previously and hence evaluate acceleration behavior(usually for
maximum acceleration) as the acceleration is varied between its predetermined minimum and maximum limits.
Therefore,the objective ofthis paperisto develop a systematic method using decision trees of machine learning
to evaluate acceleration behavior of personal motor vehicles based on the forces acting on the vehicle, i.e.
vehicle dynamics.
In this study we use the ID3 algorithm (Quinlan, 1986) to learn the decision tree by constructing them
topdown, beginning withthe root node ofthetree. The bestvariable (attribute) has been selected and used as the
test at the root node of the tree. A descendant of the root node is then created for each possible value of this
attribute, and the training examples are sorted to the appropriate descendant node. The entire process is then
repeated using the training examples associated with each descendant node to selectthe best attribute to test at
that point in the tree (greedy search policy) (Mitchell, 1997). We must note that the gain can be negative. A
negative gain indicates thatthe cost of using the statisticalinformation is more than the cost of determining the
path at each node (Rontogiannis and Dimopoulos, 1995). The decision tree in Figure 2 shows the entire tree to
classify by sorting the problem through the tree to the appropriate leaf node, then turning classification
associated with this leaf (in this case Yes or No). Figure 3 shows the 30% post pruned decision tree (Mitchell,
1997; Esposito, Malerba, and Semeraro, 1997). Both figure sets the depth of the tree to three to view the tree
better since the branch numbers getintermingled as the depth isincreased. Yes in the tree indicates the value of
thetarget attribute (class) of examples, which, also means thatthe difference between the totaltractive force and
the required pullforceis sufficient enough to acceleratethe vehicle when needed on the road, and the magnitude
of this difference will always be positive. No indicates that no such force for a given acceleration can be
produced by the engine and therefore vehicle cannot accelerate for a given conditions, and the magnitude ofthis
difference will always be zero or negative.
398

�The leaf and decision nodes receive their values, which, in this case, are shown in numbers by the
program, according to the variable organization sequence during the software loop execution and represent
attributes. Therefore, ‘1’ represents maximum acceleration, ‘2’ maximum slope, ‘3’ gross vehicle weight, ‘4’
maximum torque, ‘5’ gear ratio,‘6’ final drive ratio, and finally ‘7’ tire size. The numbered branches indicate
the valuesinthe attribute array in the order from lefttothe rightthatthe specific branches belong to as shown in
Table 1.
1

2

3

4

Accel
(m/s^2)

0.5

1.0

1.5

2.0

W
(mTon)

1.0728

1.696

1.999

1.379

1.192

sl (deg)

arctan(0.0
1)
145.1

arctan(0.03
)
332.2

atctan(0.0
5)
375.6

244.1

173.6

3.615
4.056
0.2997

4.484
3.16
0.34544

3.06
3.42
0.3746

3.50
3.812
0.3327

3.143
4.765
0.317
5

Tm
(Nm)
Gr1
Rr
Ts (m)

5

Table 1. Branch numbers and their values forthe selected attributes.

Conclusions
In this paper the most effective parameters or variables for describing an accelerating vehicle behavior
have been assessed by using decision tree learning. Having analyzed the 37500 data by the fully complete and
post pruned decision tree, we conclude that the maximum torque that the engine can produce is the main
significantfactorin determining an accelerating vehicle behavior and always ends up atthe root node ofthe tree
regardless of the several trials with different initial parameters. Moving down the tree branch, the maximum
acceleration comes up asthe second significant variableto describe an accelerating vehicle behavior.Inthe third
subtree level,the vehicle weight, and in the fourth, the final drive ratio seem to emerge other most significant
ones. Lastly, gear ratio,tire size, and maximum slope in route are the least significant ones, depending on their
defined ranges, as compared to others. These conclusions have been obtained after many runs with different
initial set-ups for mainly train size, test size, and prune size parameters of the decision tree algorithm. Of the
37500 data, 50% to 80% has been chosen as train size, 3% to 10% as test size, and 30% to 50% as prune size in
different occasions to come to the above conclusion.
For a vehicleto be really quick,these conclusions suggestthatitisimportantto pay attention to variables
like torque, horsepower, desired maximum acceleration, gear ratios, transmission selection, traction, weight.
Specifically, maximum performance in longitudinal acceleration of a motor vehicle may be determined by tire
traction limit atlow speeds other than engine power which may be accounted at high speeds (Gillespie, 1992).
All of these factors work in harmony with each other to create a signature acceleration rate. Once the major
components arein place,the nextthing would be to tune the combination to create an optimu m acceleration.

399

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Breiman, L., Friedman, J., Olshen, R. A. and Stone, C. J. (1984) Classification and regression trees, Wadsworth.
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Gillespie, T. D. (1992) Fundamentals of Vehicle Dynamics, Society of Automotive Engineers, Inc.
Jurgen, R. K. (1999) Automotive Electronics Handbook, 2nd Edition, Society of Automotive Engineers.
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Mitchell, T. M. (1997) Machine Learning, McGraw-Hill International Editions.
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Thesis, Virginia Polytechnic Institute and State University, USA.
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31/3/2009].
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Yuan, Y. and Shaw, M. J. (1995), ‘Induction of fuzzy decision trees’, Fuzzy Sets and Systems, 69, pp. 125–139.

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401

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                <text>The faster that a motor vehicle can accelerate to a high velocity is crucial to  its performance and handling. The acceleration of the vehicle is important to know  because it tells us how the car handles during merging and evasive maneuvering.  Decision trees are powerful and popular tools for classification and prediction. The  attractiveness of decision trees is due to the fact that, in contrast to neural networks,  decision trees represent rules. Rules can readily be expressed so that humans can  understand them after a brief explanation. Therefore, the objective of this paper is to  develop a systematic method using decision trees of machine learning to evaluate  acceleration behavior of motor vehicles based on the forces acting on the vehicle, i.e.  vehicle dynamics.</text>
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                    <text>3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo

Evaluation of All Inclusive System with Respect to Sustainable Tourism Principles
Pasa Mustafa Ozyurt, Onur Oku, Ali Riza Aktas
Akdeniz University, Alanya Faculty of Business, Tourism Administration, Antalya, Turkey
E-mails: ozyurt@akdeniz.edu.tr, onuroku@akdeniz.edu.tr, alirizaaktas@akdeniz.edu.tr
Abstract
The aim of this study is to analyze the “all inclusive system”, an important marketing strategy of
tourism enterprises, with respect to sustainable tourism principles. Following this purpose, all
related academic studies and literature have been compiled and the subject was analyzed
according to the collected information. Existing research suggests that the notion of sustainable
tourism and the concept of all inclusive system may be far apart from each other in many ways.
The quality of service and consequently guest satisfaction has been negatively affected from all
inclusive system. Another negative aspect found is that the system stimulates unnecessary and
excessive consumption, which is not beneficial both for the enterprise and for sustainability.
Furthermore, since guests make most of their spending within the enterprise using the all
inclusive system, local businesses find it harder to make profit and survive in the competition.
Local community is a key factor in sustainability, so the system contradicts with sustainability in
many ways. Some enterprises on the other hand defend the system since it creates economic
activity somehow, yet they agree on the fact that this system should not be used in urban areas.
Keywords: Tourism, Sustainable Tourism, Tourism Enterprises, Tourism Marketing, All
Inclusive System.
1. INTRODUCTION
Tourism is basically an economic activity and it has been growing rapidly especially after World
War II. The extent of tourism and travel has increased tremendously in the last decades, both in
terms of more travelers and of a vast choice of products on the market. From a historical
perspective this can be explained by a number of factors such as the growing prosperity in
society, vacations entitled by law, an increasing leisure time, new modes of communication,
urbanization and a growing population (Nordin, 2005: 6). According to the World Tourism
Organization (UNWTO), international arrivals worldwide have more than doubled since 1990,
rising from 435 million to 675 million in 2000, and to 940 million in 2010 (WTTC, 2011: 2).
International tourist arrivals grew by over 4% in 2011 to 980 million. With growth expected to
continue in 2012, at a somewhat slower rate, international tourist arrivals are on track to reach the
milestone one billion mark later this year, 2012 (UNWTO, 2012: 1).
Tourism investments worldwide have increased correspondingly, since tourism increases foreign
exchange earnings, creates employment opportunities, and provides a boom to many other sectors
by its multiplier effect. However, too many tourism investments caused surplus of supply in time.
Furthermore, regional or global economic crisis, natural disasters or wars decreased demand in
77

�3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo

tourism. At this point, tourism enterprises looked for new marketing strategies in order to attract
more customers. They developed further strategies and used the all inclusive system, which was
initially used starting from 1930s. Having the ability for travelers to plan their expenses in
advance increased the popularity of the system. Along with the all inclusive system came out
hotels with low profitability ratio profiles. Although the occupancy rates were high, hotels had to
settle for cheaper prices because of the competition. In order to increase their profitability,
tourism enterprises using this system felt the necessity of trying to decrease their costs by
compromising service quality.
2. SUSTAINABLE TOURISM
By the late 1980s, the governments of most countries as well as the United Nations noted the
increase in global tourism and the industry’s deleterious effects to the environment and society of
those countries in which it was most rapidly expanding (Bowman, 2010: 269). As a result of the
global policies set forth in the 1987 World Commission on Environment and Development to the
United Nations General Assembly's report "Our Common Future" (otherwise known as the
Brundtland Report), and the subsequent United Nations Conference on Environment (popularly
known as "The Earth Summit") in 1992, sustainability emerged as a key issue in development
(Berno &amp; Bricker, 2001: 3). Sustainable tourism shall be organically linked to development, in
general, to environmental, social, economic and ethical balances, mainly aiming to offer
qualitative stays that generates in return fair income to local population (Cianga &amp; Patrascu,
2010: 33).
Sustainable tourism concept arose when sustainable development idea was applied to the tourism
industry. Main principle of sustainable tourism is protecting local cultures, natural resources, and
the continuation of the economy, while ensuring the growth of tourism with planning and control.
The notion of the continuity of the economy is not just for tourism enterprises, but it also means
that the local people who live at the tourism destination joins tourism activities and gains
economic profit from tourism.
Sustainable tourism should integrate the natural, cultural and human environment. As shown in
Figure 1, sustainable tourism management is an approach, which (ETE, 2009: 39):
Minimizes the negative environmental, social and cultural impacts of tourism,
Generates economic profit from tourism for local people and improves their quality of life, their
working environment and their access to technology and information,
Allows local people and other stakeholders to participate in decision making processes involving
tourism development which could affect them,
Informs all stakeholders of tourism development which could affect them,
Contributes to natural and cultural preservation and conservation and promotes the importance of
and protects biodiversity,
Provides tourists with more meaningful tourism experiences, e.g. meeting, cooperating,
communicating and working with local inhabitants etc. bringing the tourist closer to the culture of
the destination,
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�3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo

Enables visitors to observe and understand environmental and cultural relationships and contexts,
Is sensitive to local people, as well as other stakeholders, their needs, rights and aspirations,
Sees policy, planning and management as extremely important to combat the problems caused by
non sustainable tourism,
Emphasizes that there are limits to tourism development,
Can be very frustrating because there are limits to how much can be achieved in the short and
medium term. It is a slow process of development,
Generally involves frequent conflicts between stakeholders over resources, implementation etc.
Compromises may be necessary.
Figure 1: Relationship Between the 12 Aims and the Pillars of Sustainability

Source: UNEP, 2006.

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�3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo

3. ALL INCLUSIVE CONCEPT
All Inclusive System is described as the application of a marketing and pricing system in which
all services such as breakfast, lunch, dinner, room services, local and import drinks, sport
activities are covered under a fixed price package (Ciftci et al., 2007: 269). This system emerged
as an alternative to the other hotel rate systems such as bed &amp; breakfast, half board or full
pension. All inclusive services generally includes accommodation services, food &amp; beverage
services such as breakfast, lunch, dinner, local drinks and import drinks, and many other services
that the tourist might need during their stay. The prices of all these services are fixed in advance
(Otar, 2008: 9).
In order to understand how all inclusive system works, a brief history of the package tours need
to be discussed. First package tours were organized by Thomas Cook to England in 1841.
Therefore, Cook is generally accepted as the first organized package tour operator. (Icoz, 2000:
169). The first examples of all inclusive concept date back to 1930’s at some vacation camps in
England. Later on, a French swimmer made a vacation camp at Mallorca in 1950. Mallorca is a
Spanish island and Spanish government decided the swimmer to pay one total price for all the
accommodation, food &amp; beverage and other spending activities. This incident sparked the
foundation of all inclusive system and many entrepreneurs were influenced by the idea. Their
investments are the founding stepping stone of today’s all inclusive system. (Otar, 2008: 15). All
inclusive system spread around the world after the increasing power of mass tourism in 1960’s.
As seen on other pricing systems like half board or full pension, all inclusive system does not
have globally standard applications and rules. What is included differs from country to country,
region to region, even hotel to hotel, because there are not any set of rules of laws defining the
parameters of the system. Different applications of the system resulted in different titles for the
system such as; Ultra Inclusive, Mega Inclusive, Imperial, High Class, Maximum Mega Ultra
Inclusive, etc. (Gurkan, 2002: 53).
4. FINDINGS
Accommodation companies started using all inclusive system in order to increase their
occupancy rates and to market their products and services more easily. All inclusive system is an
accepted and sought marketing tool by people who would like to find everything ready, use
technology and prefer the easier methods all the time (Yurik, 2002: 291). Main reasons of why
hotels prefer all inclusive system may be listed as follows:









80

Provides easier marketing,
Increases sales in order to reach maximum profitability,
Yields competitive advantage against competitors in tourism market,
Presents customers different holiday options,
Lower running costs and better planning of the services due to knowing the number of
buyers and the services that will be provided in advance,
Advertisement of the facility,
Controlling of personnel, product and services costs,
Better occupancy rates create better image for the company,
Easier to sell for travel agencies and tour operators,

�3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo




Bulk purchasing is cheaper,
Prepayments of all inclusive packages result in better financial planning for spending and
investments. (Corbaci, 2004: 52).

According to Valhouli (2003), the popularity of the all inclusive system relies on two basic
reasons. These are time and value. Tourists do not wish to spear time calculating the likely cost of
their vacations. At the same time, tourists expect the services provided with the all inclusive
system to satisfy their expectations. Hence, the most attractive aspect of the all inclusive system
is that is an application where the value of the service to be taken and how much money to be
spent in the end are clearly specified.
According to Suklum’s (2006) study on 354 tourists (50% Turkish, 23% German) who stayed at
two vacation clubs with all inclusive concept in Bodrum, 35,2% of the questionnaire respondents
prefer all inclusive system because of the lower extras. 18,9% of the tourists prefer the system
because they don’t have to follow their spending, 14,4% because their vacation plans are ready
in hand, 9,6% because they don’t have to worry about money exchange. Only 8,2% of the tourists
said they prefer all inclusive system because they believe the quality of the services is better.
Another important finding of the study is that 31,9% of the tourists noted they do not participate
in any economic, social or other activity outside the hotel, saying basically one third of the
tourists do not even go out of the hotel.
Barak (2006) made a study with 131 enterprises in Bodrum in order to understand the effects of
all inclusive system to the region. 27% of these enterprises were food &amp; beverage, 25% gift
shops, 12% bars or night clubs, 10% textile apparels, and 26% were from different sectors.
According to the owners or general managers of these enterprises, “all inclusive system
decreased the number of tourists visiting their shops”; “the main reason for decreasing tourism
receipts is all inclusive system”; “tourists spend less because lower income tourists come for the
system; and “all inclusive system does not increase the number of tourists to the region”.
Otar’s (2008) study on employees’ job satisfaction on accommodation units suggested that
employees working in other pension types are more satisfied from their jobs than employees
serving in all inclusive system. The study was made on 422 employees working under all
inclusive system, and 422 employees working under other pension systems. The employees of
accommodation units using the other pension systems were also more satisfied from their jobs
according to “manager behavior”, “wage policies” and “promotion possibilities” than the
employees of all inclusive system hotels.
Yayla’s (2011) study in Antalya on finding out the reasons for tourist’s preference of all inclusive
system was applied at a total of 65 four or five star hotels with the participation of 387 tourists.
The findings were that they prefer the system because (a) there are not many cancellations due to
the low number of participants, (b) price of the vacation packages are affordable, (c) and many
services are included in the price.
5. CONCLUSION
Findings of the literature survey and the study suggest that there are some positive and negative
aspects of all inclusive system. Cheaper prices for the tourists and higher occupancy rates for the
hotels are the main positive reasons for the preference of the system. Planning is the other
81

�3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo

important positive both for the tourist and the hotel. Tourists may easily plan their spending in
advance while the hotels may plan their purchasing, marketing, and financial strategies ahead of
time.
When the principles of sustainability is taken into account, it has been observed by many studies
that cheaper vacations for the tourists by the means of all inclusive tourism decrease the quality
of service, customer satisfaction, employee satisfaction, and tourist spending. One third of
tourists who prefer these packages do not even leave the hotel for shopping or other purposes,
which is a big minus for social contribution of sustainable tourism to local society.
As described above, sustainable tourism has socio-cultural, economic, environmental and
community participation factors. Since the main purpose of sustainable tourism is protecting local
cultures, natural resources, and the continuation of the economy, all inclusive system does not
directly possess any positive affects towards these three purposes at the same time. There is not
any strong evidence that the hotels using all inclusive system are using local products, which is
another negative aspect for sustainability.
Therefore, it is evident that all inclusive system does not directly help local community, does not
increase job satisfaction of the local residents, and does not help the environment any better than
hotels using other pension systems. Tourists over-consume because of fixed charges, and this is a
burden to economic resources of the society. Over-competition between all inclusive hotels
decreases the prices of rooms and thereby the tourism earnings decrease. It may be creating new
jobs for the society, but since job satisfaction is lower than the other pension systems, work
overload may be the case instead of hiring new staff.
REFERENCES
Barak, H. (2006). Turizm Sektöründe Uygulanan Herşey Dahil Tatil Sisteminin Bölgedeki
İşletmeler Üzerindeki Etkisi Ve Bodrum Örneği. Basılmamış Yüksek Lisans Tezi, Dokuz Eylül
Üniversitesi, Sosyal Bilimler Enstitüsü, Turizm İşletmeciliği Anabilim Dalı, İzmir.
Berno, T., &amp; Bricker, T. (2001). Sustainable Tourism Development: The Long Road From
Theory to Practice. International Journal of Economic Development, 3 (3).
Bowman, K. S. (2011). Sustainable Tourism Certification and State Capacity: Keep it Local,
Simple and Fuzzy. International Journal of Culture, Tourism and Hospitality Research, 5 (3),
269-281.
Cianga, N., &amp; Patrascu, C. (2010). Sustainable Development-Concept and Present Trend in The
Context Of The Globalization Of Tourism And Of Romania’s Accession In The European Union.
Journal of Tourism Challenges and Trends, 3 (1), 29-43.
Çiftçi, H., &amp; Düzakın, E., &amp; Önal, Y., B. (2007). All Inclusive System and Its Effects on The
Turkish Tourism Sector. Problems and Perspective in Management, 5 (3), 269-285.
Çorbacı, A. K. (2004). Hersey Dahil (All Inclusive) Sisteminin Destinasyon Bölgesine Olumlu ve
Olumsuz Etkileri, Ekonomik ve Teknik Dergi Standard, 43 (511), 51-52.

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ETE, (2009). Sustainable Tourism, Training the Trainers Programme. Last Access: 25.04.2012
http://www.oete.de/tourism4nature/results/backdocs/ETE_2009_Sustainable_Tourism_Training.p
df
Gürkan, T. A. (2002). “Herşey Dahil” (All Inclusive) Sistemin Türk Turizmi Açısından
İncelenmesi (Antalya-Kemer Örneği), Basılmamış Yüksek Lisans Tezi, Sakarya Üniversitesi,
Sosyal Bilimler Enstitüsü, İşletme Anabilim Dalı, Turizm İşletmeciliği Anabilim Dalı, Sakarya.
İçöz, O. (2000). Seyahat Acenteleri ve Tur Operatörlüğü Yönetimi. 3.Baskı, Turhan Kitapevi,
Ankara.
Otar, H. (2008). Konaklama İşletmelerinde Uygulanan Herşey Dahil Sisteminin İşgörenlerin İş
Tatmini Üzerindeki Etkisi. Basılmamış Yüksek Lisans Tezi, Gazi Üniversitesi, Eğitim Bilimleri
Enstitüsü, Turizm İşletmeciliği Eğitimi Anabilim Dalı Ankara.
Nordin, S. (2005). Tourism of Tomorrow, Travel Trends and Forces of Change. European
Tourism Research Institute.2005,27
Süklüm, N. (2006). Türkiye’de Hizmet Sektöründeki Turizm İşletmelerinde Uygulanan “Her şey
Dahil” Sisteminin Müşteri Memnuniyeti Üzerindeki Etkisinin Ölçümlenmesi ve Bir Alan
Araştırması. Basılmamış Yüksek Lisans Tezi, Adnan Menderes Üniversitesi, Sosyal Bilimler
Enstitüsü, İşletme Anabilim Dalı, Aydın.
UNEP, (2006). Making Tourism More Sustainable, A Guide For Policy Makers. Last Access:
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Yayla, İ. (2011). Turistlerin Herşey Dahil Sistemini Tercih Etme Nedenleri Üzerine Bir
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83

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                    <text>2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo

Evaluation of Critical Thinking Tendencies of Prospective Primary School
and Primary Science Teachers
Salih Zeki GENÇ
Çanakkale Onsekiz Mart University, Turkey
szgenc@yahoo.com
Abstract: This research, aims to assess the critical thinking abilities of
prospective primary school and primary science teachers, was obtained by using
California Critical Thinking Tendency Scale The inventory was applied to 560
randomly selected prospective teachers (ranged from 1st, 2nd, 3rd and 4th year) in
Faculty of Education at Çanakkale Onsekiz Mart University in Turkey in 2006 and
analysed using SPSS program. The students who answered entry incorrectly excluded
from the study. Finally, the answers of 480 teacher candidates were taken into
consideration. In the analysis of data t, variance and Tukey’s statistic tests were used.
It was found out that the point of views of teacher candidates from both
departments about the whole inventory were between 31 and 39 (they’re not sure
about critical thinking disposition). On the other hand, a significant difference was
not found between the gender, learning methods and critical thinking dispositions of
teacher candidates. It was also found out that there is a significant difference between
teacher candidates grade levels, their self confidence and their ways of searching for
truth.
Today’s teacher candidates who will become teachers of tomorrows are
expected to improve ‘critical thinking skills’ through education process. Therefore,
the teacher candidates should have critical thinking skills in order to contribute the
development of their countries.
Keywords: Critical Thinking Disposition, Teacher Candidate, Primary School
Teacher, Science Teacher

Introduction
Critical thinking concept has become popular in the recent years in education. Reasoning and problem
solving are the two common critical thinking skills which are supported by the educationalists in schooling
process. Today, there are master and doctorate programmes on teaching critical thinking skills at many
universities. Therefore, critical thinking is the core concept in education.
Critical thinking has a number of definitions made by many researchers. Beyer (1983) defines critical
thinking as the evaluation of the authenticity, accuracy and worth of knowledge, thoughts, beliefs or discussions.
In addition, Norris (1985, p: 40-45) states that it supports teacher candidates to “apply everything they already
know and feel, to evaluate their own thoughts and especially to change their behaviours…” Relatively, critical
thinking disposition-as a part of our personality- is regarded as an approach to problem-framing problem solving
through reasoning. Braman (1999) states that critical thinking is effective not only in academic studies or
environments but also in solving every kind of problem. For this reason, teacher candidates are expected to teach
the necessary information, skills and behaviours to their students for their future lives.
According to Scriven &amp; Paul (1996), critical thinking is the intellectually disciplined process of actively
and skilfully conceptualizing, applying, analysing, synthesizing, and/or evaluating information gathered from, or
generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action.
In its exemplary form, it is based on universal intellectual values that transcend subject matter divisions: clarity,
accuracy, precision, consistency, relevance, sound evidence, good reasons, depth, breadth, and fairness.
The experts in teacher education claim that lifelong learning and professionalism should be the basic
qualities of teacher education programmes. Therefore, teacher candidates should develop traits of intellectuality
about teaching in order to become teachers who are good researchers. According to Bruner, Piaget and Vygotsky
experience encourages the development of cognitive processes (Rodriguez and Sjostrom, 1998).
Although contemporary education curriculum is criticised, the educationalists agree on that a new
curriculum should be developed which enables the students to think well and to think for themselves (Pithers,
2000).
According to Ikuenobe (2001) critical thinking skills should be taught to students due to following
reasons: (1) instructors motivate questioning by explaining to students its logic, functions and basis as an
epistemic process- this may help to vitiate the negative attitudes and implications; (2) students have to see the

216

�2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo
connections among questioning, critical thinking, inquiry and learning, and fallibilism; (3) instructors have to
develop a constructive and non-threatening way to ask questions and teach students a process of asking questions
so that one does not alienate and intimidate; and (4) the instructor must create, in general, a classroom
environment that will allow students to express themselves, and they must be given the opportunity to actively
participate in their own learning process, which involves acquiring the skills of questioning for the purpose of
bringing about understanding, growth and progress in knowledge (Ikuenobe, 2001).
A number of studies were carried out regarding the assessment of critical thinking disposition in the
recent years (Brookfield, 1987; Costa and Lowery, 1989; Wade and Tavris, 1993; Facione, Facione and
Giancarlo, 2000; Giancarla and Facione, 2001; Phillips, Chesnut and Rospond, 2004).
As a result of the developments in the field of education in the world, the educational reform process
has started in Turkey not only in the primary and secondary education but also in teacher training. No matter
what the individual differences which exist in the vision of elementary education in Turkey might be, there are
views such as inquiry-questioning, critical thinking, problem solving, and decision making skills. For this
reason, changes have been made to the curricula of primary school education and science education programs
and training primary school and science teachers who can guide students to gain the values mentioned above has
become important. Therefore, evaluating critical thinking tendencies of primary school and science teacher
candidates constitute the problem of the research.

Purpose of the Research
The primary purpose of the research is to evaluate the critical thinking tendencies of primary school and
science teacher candidates. In this respect, answers to the following questions are of vital importance.
1. What is the distribution regarding the general status of critical thinking tendencies of primary school
and science teacher candidates?
2. Is there a significant difference between the genders and critical thinking tendencies of primary school
and science teacher candidates?
3. Is there a significant difference between the type of schooling and critical thinking tendencies of
primary school and science teacher candidates?
4. Is there a significant difference between the critical thinking tendencies of primary school and science
teacher candidates?
5. Is there a significant difference between the class level they have received schooling and critical
thinking tendencies of primary school and science teacher candidates?

Method
This study was conducted with 480 teacher candidates studying at Çanakkale Onsekiz Mart University,
Faculty of Education, Primary School Teacher Training and Primary Science Teacher Training in 2009-2010
academic years. This study was limited to 51 articles used in California Critical Thinking Tendency Scale
(CCTTS).

Sampling
560 teacher candidates from 1st, 2nd, 3rd, and 4th years studying at Çanakkale Onsekiz Mart University,
Faculty of Education, Primary School Education and Science Education Program (day and evening groups) were
selected randomly and scales were applied. 480 teacher candidates were included in the sampling process after
excluding the candidates who provided incomplete and wrong answers (see Table I).

217

�2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo

Student Teachers’ Common Characteristics

f

%

Male
198
41.3
Female
282
58.7
480
100.0
Total
Day Group
240
50.0
Type of Instruction
Evening Group
240
50.0
480
100.0
Total
Primary School Education
240
50.0
Department
Science Education
240
50.0
480
100.0
Total
First Year
120
25.0
Second Year
120
25.0
Class
Third Year
120
25.0
Fourth Year
120
25.0
480
100.0
Total
Table 1. Distribution of the Student Teachers in Relation to Gender, Type of Instruction, Department and
Classes.
Gender

Data Collection and Analysis
Data were collected by using the California Critical Thinking Tendency Scale. California Critical
Thinking Tendency Scale was developed by Facione and Facione (1992) by considering the criteria mentioned in
definition of critical thinking which was put forward by Delphi Project. Scale is composed of 6-options, 75
Likert type items and 7 sub-scales (Facione, Giacarlo, Facione &amp; Gianen, 1995). The scale, which was originally
written in English was adapted by Kokdemir (2003) into Turkish and factor analysis, validity and reliability
studies were carried out. The new scale which was formed after these analyses were rearranged in the form of 51
items associated with 6 load factors and at the end of the application, reliability coefficient (Cronbach Alpha) of
the whole scale was found as 0.88 6 sub-dimensions that take place in the Turkish form of California Critical
Thinking Tendency Scale have been formed namely, Analytical Approach, Curiosity, Open-mindedness,
Personal Confidence, Look for the Truth, Systematic Approach. Certain items which were listed in Cognitive
Maturity sub dimension in the original scale, have been eliminated and some of them have been listed under the
open-mindedness sub dimension (Hamurcu et al., 2005).
The scale was applied to the sampling group in November 2006 by the researcher and the data were
analysed by the SPSS program. In the analysis of the data obtained, distribution of the general status of critical
thinking tendencies of teacher candidates was evaluated by calculating their arithmetic averages. t-test, which
was used to measure the differences between the averages was applied to examine whether there is a significant
difference between their genders, type of schooling, departments, and their critical thinking tendencies. One way
analysis of variance (ANOVA) was used to determine whether there is a difference between class levels they
received schooling and critical thinking tendencies; and Tukey test was used to identify the classes those
differences exist.

Findings and Discussions
Findings obtained in the research have been listed under five categories.
Sub dimensions
n
Analytical Approach
Open-mindedness
Curiosity
Personal Confidence
Search for Truth
Systematic Approach
Total

240
240
240
240
240
240
240

Primary School Teacher
Std. Deviation

X

41.36
43.92
35.69
28.92
25.12
20.26
32.54

5.70
6.68
5.43
4.32
3.91
5.20
3.10

218

n
240
240
240
240
240
240
240

Science Teacher
Std. Deviation

X

41.32
43.84
35.12
28.75
24.99
20.17
32.36

6.11
7.08
5.10
4.85
3.64
3.57
2.71

�2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo
Table 2.General Status of Critical Thinking Tendencies of Primary School and Science Teacher Candidates
Table 2 provides the distribution regarding the general status of critical thinking tendencies of primary
school and science teacher candidates. Prior to the preparation of the tables, standard points for every sub-scale,
and total point calculations were carried out separately. According to Kokdemir (2003), the maximum score that
can be obtained from the scales is 60 and the minimum score is 6.
Giancarlo and Facione (2001) also state that while making calculations for every sub-dimension of the
scale, people who receive a total of 30 points or less than 30 points for that particular subscale are considered as
weak or in negative direction in terms of their tendency for critical thinking, people who receive a total of 40
points or higher than 40 points are considered as strong or in positive direction and people who receive a total
score between 31 points and 39 points are considered as undecided. On the other hand, when the whole scale is
examined, people who receive a total score of 180 points or less should be considered as having a weak or
negative general critical thinking tendency and people receive 240 points or more are considered as having a
strong or positive general critical thinking tendency.
According to results shown on the table 2, it can be concluded that the averages of the opinions of the
teacher candidates for the whole scale are range between of 31-39. Therefore, it can be put forward that teacher
candidates in primary school education and science education departments are “undecided” in the critical
thinking tendencies. In addition to this, it can also be stated that in dimensions of analytic approach and openmindedness, teacher candidates have a high and positive critical thinking tendencies as they have obtained points
greater than 40. On the other hand, it is also remarkable that teacher candidates of both primary school education
and science education departments have provided extremely similar opinions in all sub-dimensions.
Low points obtained in search for truth dimension of teacher candidates participated in the study overlap
with the findings of various studies carried out in the same field (Giancarlo and Facione, 2001; Facione et al,
1995; Hamurcu et al, 2005). Facione et al (1985) have stated that it is worth examining these low points in
“search for truth” dimension in terms of the quality of the university education and its possible effects on future
generations.

Sub dimensions

Gender

n

X

Analytical Approach

Male
198
41.50
Female
282
41.23
Open-mindedness
Male
198
43.17
Female
282
44.38
Curiosity
Male
198
35.10
Female
282
35.62
Personal Confidence
Male
198
29.08
Female
282
28.67
Search for Truth
Male
198
25.06
Female
282
25.05
Systematic Approach Male
198
20.40
Female
282
20.08
* The main difference is significant at the .05 level.

Std.
Deviation
5.99
5.85
5.71
7.56
5.19
5.32
4.83
4.41
3.97
3.64
4.25
4.60

Df
478

t

p
0.494

.621*

478

1.908

.057*

478

1.063

.288*

478

0.956

.340*

478

0.011

.991*

478

0.792

.429*

Table 3. Findings Regarding the Differences Between the Their Sexes and the Critical Thinking Tendencies of
Primary School and Science Teacher Candidates
The gender variable is considered as one of the factors in the studies conducted to measure critical
thinking tendencies (Facione et al, 1995; Giancarlo and Facione, 2001; Kokdemir, 2003; Hamurcu et al, 2005).
In this study, Table 3 provides findings regarding the differences between the sexes and the critical thinking
tendencies of primary school and science teacher candidates. The averages of the views of the male and female
teacher candidates regarding their critical thinking tendencies show high similarities for all sub dimensions
(Table 2). In this case, a meaningful difference at 0.05 significance level was not observed (at all sub
dimensions) between the sexes and the critical thinking tendencies of primary school and science teacher
candidates. Therefore, these two variables can be considered independent. In the study carried out by Hamurcu et
al (2005), a significant difference was observed for analytic approach, open mindedness, personal confidence
and search for truth sub dimensions of the sex variable; and no difference was observed for the curiosity and

219

�2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo
systematic approach sub dimensions. Therefore, it can be concluded that none of the studies were able to observe
any differences in curiosity and systematic approach sub dimensions.
Sub dimensions

Type of Instruction

n

Analytical Approach

Day Group
Evening Group
Open-mindedness
Day Group
Evening Group
Curiosity
Day Group
Evening Group
Personal Confidence
Day Group
Evening Group
Search for Truth
Day Group
Evening Group
Systematic Approach
Day Group
Evening Group
* The mean difference is significant at the .05 level.

X

240
240
240
240
240
240
240
240
240
240
240
240

41.74
40.94
43.87
43.89
36.10
34.70
29.17
28.50
24.89
24.52
20.14
20.29

Std.
Deviation
6.45
5.29
7.19
6.57
5.50
4.94
4.18
4.95
3.63
3.91
4.85
4.03

t

p

1.485

.138*

478

0.020

.984*

478

2.941

.003*

478

1.592

.112*

478

0.966

.334*

478

0.368

.713*

df
478

Table 4. Findings Regarding the Differences between the Type of Schooling and the Critical Thinking
Tendencies of Primary School and Science Teacher Candidates
Table 4 provides findings regarding the differences between the type of schooling and the critical
thinking tendencies of primary school and science teacher candidates. When the table is examined it is seen that
averages of critical thinking tendencies of day and evening groups of primary school and science teacher
candidates show similarities for all sub dimensions. In this case, a meaningful difference at 0.05 significance
level was not observed (at all sub dimensions) between the type of schooling and the critical thinking tendencies
of primary school and science teacher candidates. The critical thinking tendencies of both day and evening
groups of teacher candidates are close to each other. This can be interpreted as that the type of schooling (dayevening group) is not an important factor in terms of their critical thinking tendencies.
Sub dimensions
Analytical Approach

Department

Primary School Teacher
Science Teacher
Open-mindedness
Primary School Teacher
Science Teacher
Curiosity
Primary School Teacher
Science Teacher
Personal Confidence
Primary School Teacher
Science Teacher
Look for the Truth
Primary School Teacher
Science Teacher
Systematic Approach Primary School Teacher
Science Teacher
The mean difference is significant at the .05 level.

n

X

240
240
240
240
240
240
240
240
240
240
240
240

41.36
41.32
43.92
43.84
35.69
35.12
28.92
28.75
25.12
24.99
20.26
20.17

Std.
Deviation
5.70
6.11
6.68
7.08
5.43
5.10
4.32
4.85
3.91
3.64
5.20
3.57

df
478

t

p

0.077

.939*

478

0.139

.889*

478

1.187

.236*

478

0.397

.692*

478

0.362

.717*

478

0.225

.822*

Table 5. Findings Regarding the Differences between the Departments and the Critical Thinking Tendencies of
Primary School and Science Teacher Candidates
Table 5 provides findings regarding the differences between the departments and the critical thinking
tendencies of primary school and science teacher candidates. The findings indicate that averages of critical
thinking tendencies of primary school and science teacher candidates show similarities for all sub dimensions.
Therefore, a meaningful difference at 0.05 significance level was not observed (at all sub dimensions) between
the departments and the critical thinking tendencies of primary school and science teacher candidates. The
critical thinking tendencies of both primary school teacher candidates and science teacher candidates are close to
each other. It overlaps with the results of the study conducted by Hamurcu et al. (2005) since these differences
do not exist in open-mindedness, search for truth and systematic approach sub dimensions according to
department.

220

�2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo

Source of Variance

Sum of Squares

Personal Confidence

df

Between Groups
3
Within Groups
476
Total
479
Search for Truth
Between Groups
3
Within Groups
476
Total
479
The mean difference is significant at the .05 level.

Mean
Square
184.083
9925.883
10109.967
192.133
6646.233
6838.367

F

p

61.361
20.853

2.943

Source of
Variance
.033*

64.044
13.963

4.587

.004*

Table 6.Findings regarding the differences between the grade levels with regard to type of schooling and the
critical thinking tendencies of primary school and science teacher candidates
Table 6 provides findings regarding the differences between the class level with regard to type of
schooling and the critical thinking tendencies of primary school and science teacher candidates. It has been
limited to the personal confidence and search for truth sub dimensions. Because, it has been found that the
critical thinking tendencies of teacher candidates have differentiated in these two sub dimensions. According to
the results of the Tukey’s test that was conducted in order to identify the differences between the teacher
candidates, it was found out that according to personal confidence sub dimension, there were significant
differences in favour of 3rd year teacher candidates between the 1st and 3rd year teacher candidates, and
according to search for truth sub dimension, there were significant differences in favour of 3rd year teacher
candidates between the 2nd and 3rd year teacher candidates. Therefore, it can be concluded that 3rd year teacher
candidates have more positive critical tendencies compared to other teacher candidates particularly 1st and 2nd
year teacher candidates. The findings of the study overlap with the findings of the study conducted by Hamurcu
et al (2005) with regard to personal confidence sub dimension. On the other hand, Facione and et al. (1995) have
found out that new students tend to obtain higher points for curiosity and open mindedness and lower points for
systematic approaches sub dimensions.

Conclusion and Suggestions
This research had aimed at evaluating the critical thinking tendencies of primary school and science
teacher candidates. As a result;
1. It has been found that opinions of teacher candidates in both departments regarding the whole scale are
in the range of 31-39 points. Therefore it can be concluded that teacher candidates are undecided in
their critical thinking tendencies.
2. There is no significant difference (including all sub dimensions) between the sexes of teacher
candidates and their critical thinking tendencies. In this respect, it can be concluded that these two
variables are independent of each other.
3. There is no significant difference (including all sub dimensions) between the types of schooling (day
and evening group) of teacher candidates and their critical thinking tendencies. Thus, there is a
similarity between the critical thinking tendencies of day and evening group teacher candidates.
4. There is no significant difference (including all sub dimensions) between the departments (primary
school teacher and science teacher) of teacher candidates and their critical thinking tendencies
(including all sub dimensions). Thus, it can conclude that there is a similarity between the critical
thinking tendencies of teacher candidates in both departments.
5. Meaningful differences have been found in comparisons made according to class levels with regard to
schooling type, particularly between the points obtained in Personal Confidence and Search for Truth
sub scales and there are differences in higher class levels.
6. The low points for Search for Truth dimension obtained by the teacher candidates participated in the
sampling also overlap with the various results obtained in similar areas (Giancarlo and Facione, 2001;
Facione and et al, 1995; Hamurcu et al, 2005). Furthermore, Facione et al. (1995) have found out that
new students tend to obtain higher points for curiosity and open mindedness and lower points for
systematic approaches sub dimensions.

1.

According to the above result the following suggestions could be made:
Creating an environment which will enable today’s teacher candidates to gain “critical thinking” skills
who will be training tomorrow’s students is of vital importance. The teacher candidates who will

221

�2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo

2.

3.

4.

5.

become intellectuals and managers are primarily responsible for constructing the future of their country.
For this reason they should have the ability to think critically about events and facts. Therefore, it may
be sensible to arrange subject areas where they will obtain and develop critical thinking skills.
It is also important for academicians at the universities to have critical thinking skills who train teacher
candidates. Moreover, they should be able to use these skills and serve as role models for those
candidates. For this reason, practices aimed at developing critical thinking skills of students should be
included in the programs to train academicians.
A similar study can be conducted which would cover different faculties and departments in different
universities. In this study, teacher candidates from primary school and science education departments
have been selected. Because, individuals first face primary school teachers and science teachers play a
vital role to educate individuals to understand the society, and the world.
Another study can be conducted to measure the relationship between the critical thinking tendencies
and academic achievement of teacher candidates or university students. A research covering secondary
education students, current secondary and primary school teachers and family members may even be
carried out.
In this study, complete California Critical Thinking Tendency Scale with its subscales analytical
approach, curiosity, open-mindedness, personal confidence, search for the truth, systematic approach,
and related questions were used and results were interpreted according to the sub dimensions. In
another research, a more extensive analysis can be done by only including one or some other sub
dimensions of the measurement tool.

References
Beyer, B. (1983) Common sense about teaching thinking skills. Educational Leadership Vol.41, EJ 289-719. pp.
44-49.
Braman, O. R. (1999) Teaching peace to adults: Using critical thinking to improve conflict resolution. Adult
Learning, 102 (2), 30-32.
Brookfield, S. D. (1987) Developing Critical Thinkers: Challenging Adults to Explore Alternative Ways of
Thinking and Acting. Josey-Bass Publishers. San-Francisco, CA.
Costa, A. L.; &amp; Lowery I, Lawrence F. (1989) Techniques for Teaching Thinking. Critical Thinking Press and
Software. Pacific Grove, CA.
Facione, P.A., Facione, N.C.&amp; Giancarlo,C.A. (2000) The disposition toward critical thinking. It’s character,
measurement, and relationship to critical thinking skill. Informal Logic, vol.20, no. 1, pp. 61-84.
Facione, P.A., Giancarlo, C.A., Facione, N.C.&amp; Gainen, J. (1995) The disposition toward critical thinking.
Journal of General Education, vol. 44, no. 1, pp. 1-25.
Giancarlo, C.A. and Faacione, P.A. (2001) A look across four years at the disposition toward critical thinking
among undergraduate students. The Journal of General Education, vol. 50, no. 1, pp. 29-55.
Hamurcu, H., Günay, Y., Akamca, G.Ö. (2005) Profiles of critical thinking dispositions of science and class
students. Eurasian Journal of Educational Research, vol.20, pp. 147-157.
Ikuenobe, P. (2001) Questioning as an epistemic process of critical thinking. Educational Philosophy and
Theory, vol.33, no. 3 &amp; 4, pp. 325-341.
Kökdemir. D. (2003) Belirsizlik Durumlarında Karar Verme ve Problem Çözme. Ankara Üniversitesi Social
Science Faculty, Phd Thesis, Ankara.
Norris, S.P. (1985) Synthesis of research on critical thinking. Educational Leadership, vol. 42, pp. 40-45. EJ
319-814.
Phillips, C. R., Chesnut, R. J., Rospond, R. M. (2004) The California critical thinking instruments for benchmarking,
program assessment, and directing curricular change. American Journal of Pharmaceutical Education, vol. 68, no. 4.
Pithers, R.T., (2000) Critical Thinking in Education: A Review.Educational Research. vol. 42, no. 3, winter, pp. 237-249.
Rodriguez, Y.E.G., Sjostrom, B.R. (1998) Critical reflection for professional development: a comparative study of nontraditional adult and traditional student teachers. Journal of Teacher Education, vol. 49, no. 3.
Scriven, M. &amp; Paul, R. (1996) “Defining critical thinking: A draft statement for the National Council for Excellence in
Critical Thinking”, Retrieved: March 12, 2007, from http://www.criticalthinking.org/University/univlibrary/library.nclk
Wade, C.&amp; Tavris, C. (1993) Critical&amp; Creative Thinking: The Case of Love and War. Harper Collins College Publisher,
New York NY.

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                <text>This research, aims to assess the critical thinking abilities of  prospective primary school and primary science teachers, was obtained by using  California Critical Thinking Tendency Scale The inventory was applied to 560  randomly selected prospective teachers (ranged from 1st, 2nd, 3rd and 4th year) in  Faculty of Education at Çanakkale Onsekiz Mart University in Turkey in 2006 and  analysed using SPSS program. The students who answered entry incorrectly excluded  from the study. Finally, the answers of 480 teacher candidates were taken into  consideration. In the analysis of data t, variance and Tukey’s statistic tests were used.  It was found out that the point of views of teacher candidates from both  departments about the whole inventory were between 31 and 39 (they’re not sure  about critical thinking disposition). On the other hand, a significant difference was  not found between the gender, learning methods and critical thinking dispositions of  teacher candidates. It was also found out that there is a significant difference between  teacher candidates grade levels, their self confidence and their ways of searching for  truth.  Today’s teacher candidates who will become teachers of tomorrows are  expected to improve ‘critical thinking skills’ through education process. Therefore,  the teacher candidates should have critical thinking skills in order to contribute the  development of their countries.</text>
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                    <text>Evaluation of e-Business in Turkey
Furkan Ozbek
International Burch University
Turkey
furkan_skater@hotmail.com
Abstract: The internet and technologies have produced an amazing impact on the way
enterprises carry out organization in Turkey and worldwide. Turkey enterprises are similar to
their own global counterparts and have put in heavily to help leveraging the internet and
transform their own classic businesses directly into e-businesses in the last 10 years. E-business
purchases are generally professing sizeable share of overall IT budgets in many enterprises
whether they are generally modest, channel as well as huge. On the other hand, professionals
are generally underneath continuous stress to help justify e-business charges along with to
ensure most of these purchases keep reducing. Previous investigation on e-business in Turkey
dealt with problems on the price connected with e-business uptake along with the usage of the
internet to help particular organization functions. Research discussed in this paper is primary
and tries to evaluate the worthiness connected with e-business. It is dependent on data compiled,
collated along with analyzed from the reactions received from it along with e-business
professionals from all over Turkey.
Keywords: e-business evaluation, e-business drivers, e-business financial success.

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�142

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                <text>The internet and technologies have produced an amazing impact on the way enterprises carry out organization in Turkey and worldwide. Turkey enterprises are similar to their own global counterparts and have put in heavily to help leveraging the internet and transform their own classic businesses directly into e-businesses in the last 10 years. E-business purchases are generally professing sizeable share of overall IT budgets in many enterprises whether they are generally modest, channel as well as huge. On the other hand, professionals are generally underneath continuous stress to help justify e-business charges along with to ensure most of these purchases keep reducing. Previous investigation on e-business in Turkey dealt with problems on the price connected with e-business uptake along with the usage of the internet to help particular organization functions. Research discussed in this paper is primary and tries to evaluate the worthiness connected with e-business. It is dependent on data compiled, collated along with analyzed from the reactions received from it along with e-business professionals from all over Turkey.  Keywords:	e-business evaluation, e-business drivers, e-business financial success.     </text>
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                    <text>Evaluation of E-Learning and LMS Usage at IBU
FeridHadzic
International Burch University
Bosnia and Herzegovina
ferid.hadzic@gmail.com
Abstract:Advances in the domain of information and communication systems have enabled
new methods for transfer and acquisition of knowledge to emerge and become popular. Elearning has become an area with substantial investments, both in financial terms and
research efforts directed towards optimization of existing education methods and discovery of
novel ways to disseminate knowledge through usage of modern technologies. The emphasis is
upon the importance of integrated learning paths that vary according to the student, the
subject material, the level of competence, and corporate or student preferences. Successful
implementation of e-learning requires the same management commitment as other missioncritical organization-wide initiatives. Most of all e-learning needs to be compelling to the
audience it targets, offering the learner a resource that is seen as appealing, valuable and
productive to their goals and aspirations. A learning management system (LMS) is a software
application for the administration, documentation, tracking, reporting and delivery of elearning education courses or training programs. This project describes the process used to
analyze needs and select a LMS. Readers will be provided with information about choosing
and evaluating a LMS, and also evaluation of LMS usage at The International Burch
University and how it is implemented, lessons learned, and tips for organizations seeking to
purchase a LMS in the future.
Keywords:
E-learning, Learning Management System (LMS), Technology, International
Burch University (IBU), Implementation, Evaluation.

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                <text>Advances in the domain of information and communication systems have enabled new methods for transfer and acquisition of knowledge to emerge and become popular. E-learning has become an area with substantial investments, both in financial terms and research efforts directed towards optimization of existing education methods and discovery of novel ways to disseminate knowledge through usage of modern technologies. The emphasis is upon the importance of integrated learning paths that vary according to the student, the subject material, the level of competence, and corporate or student preferences. Successful implementation of e-learning requires the same management commitment as other mission-critical organization-wide initiatives. Most of all e-learning needs to be compelling to the audience it targets, offering the learner a resource that is seen as appealing, valuable and productive to their goals and aspirations. A learning management system (LMS) is a software application for the administration, documentation, tracking, reporting and delivery of e-learning education courses or training programs. This project describes the process used to analyze needs and select a LMS. Readers will be provided with information about choosing and evaluating a LMS, and also evaluation of LMS usage at The International Burch University and how it is implemented, lessons learned, and tips for organizations seeking to purchase a LMS in the future.     Keywords:	E-learning, Learning Management System (LMS), Technology, International Burch University (IBU), Implementation, Evaluation.</text>
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                    <text>2nd International Symposium on Sustainable Development, June 8-9, 2010 Sarajevo

Evaluation of Elementary Education 6th Grade Turkish Workbook from
The Point of Constructivist Grammar Teaching
Süleyman Eroğlu
Uludag University
Faculty of Education
Turkey
seroglu@uludag.edu.tr
Abstract: The skill area of language covers listening/watching, reading, speaking and
writing; the knowledge area covers grammar. Grammar is the set of rules supporting basic
language skills. It is important for students to learn about the rules and knowledge
composing the structure and function of a language so that they can support other skills.
Undoubtedly, the way of functional and permanent grammar teaching is firstly to explain
about the knowledge and rules of language and then to construct them. The presence of
such an understanding in grammar teaching is possible primarily through the presence of a
Turkish Course Teaching Program prepared as based on constructivist approach and the
presence of teaching materials formed parallel to this. It is known that course books as a
teaching material play an important role in having students acquire certain skills. At this
point, it is obvious that there is a need to determine if course books possessing great
importance were prepared in accordance with the constructivist approach. The present
study aimed to evaluate the 6th Grade Turkish Workbook, one of the Turkish teaching
materials and expected to have been prepared in accordance with the constructivist
approach and still in use; it also aimed to determine the extent to which the various
activities in grammar teaching area included in the book meet the requirements of the
constructivist approach.
Key Words: Elementary 6th Grade Turkish Course Workbook, Grammar Teaching,
Constructivist Approach, Turkish Course Teaching Program

Introduction
Language is a natural means helping people communicate with one another and plays a key role in all
educational activities. Language acquisition and teaching take place during a certain process. Individuals have a
natural tendency toward learning and consolidating what they have learned and this can be developed when
appropriate methods and techniques are used. A human’s world of thought that he or she sets up while trying to
understand him/her and the events happening around him/her is shaped with concepts and the relations between
these concepts. Humans become socialized through values that concepts acquire in language integrity and are
involved in some thinking and expression activities such as learning with the help of language, practicing what
they have learned and interpretation. Turkish learning is composed of comprehension, interpretation, and basic
language skills such as listening/watching, speaking, reading and writing directed to the development of skills to
set up communication and grammar (Turkish Course Teaching Program, 2006, p. 2).
The main objectives of the use of language which is the most effective means of agreements between
people are to help individuals transfer their own feelings and thoughts to others adequately and effectively, to
understand others’ emotions and thoughts fully and correctly.
In addition to the basic skills of language such as reading, listening / watching, talking and writing, the
information forming the structure and identifying the functioning rules of Turkish is also important to have as
well. The ongoing lifelong process of language acquisition avoids arbitrariness and becomes formal in the formal
primary education period.
Students in the first stage of the primary education are supported primarily with respect to language
skills and then tried to be made competent in the knowledge level of the language.
This situation, particularly in primary education, will be possible through a constructivist language
teaching; because a learner learns and builds knowledge structures when he or she discovers his or her own
answers and concepts and creates his or her own interpretation. This is undoubtedly possible through a
constructivist teaching approach.
Constructivism is the process in which students make sense of and construct new information they
encounter under the guidance of teachers also by benefiting from their past learning experiences (Yapıcı, 2008).
Constructivist approach is a learning approach in which individuals form their own knowledge, skills and

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qualities as a result of their own experiences and thinking. In this approach, individuals participate in the
learning process actively, question, inquire and associate the information they will get through their past
experiences and construct it on their own (Shunk, 1996).
Knowing the structure and opportunities of the means -language- enabling communication will
undoubtedly affect the success of comprehending-expressing activity. And this entails a good grammar
education. Language is a system composed of the units taking their values from interrelated relations, and
grammar is the field of study aiming to put forward this system (Adalı, 1983, p. 35).
The primary aim of grammar is to make students become aware of the basic rules of the Turkish
language with respect to speaking, writing and reading and feel confident in using their mother tongue. In other
words, the aim of grammar teaching is to make students acquire the skills of using their emotions, thoughts and
plans correctly, clearly and effectively. Taken from this perspective, grammar can be accepted as a field of study
aiming to make students comprehend meanings correctly and reach the awareness of expressing their own
thoughts, emotions and desires properly (Calp, 2007, p. 304).
The effective and permanent grammar teaching, a field of study helping individuals to acquire the skills
of comprehending and expressing correctly is closely related to not only the constructivist approach but also the
quality of textbooks. ”Just as it is impossible to perform any task without any tools, teaching a lesson without a
textbook is not likely, too” (Cemiloğlu, 2004, p. 203).
Textbooks are the basic sources used for both educational and teaching purposes. They are printed
educational and teaching materials equipped with cognitive and sensory skills appropriate for students’ age and
knowledge levels, composed of rich texts, prepared in the direction of the principles based on teaching programs,
and transferring the information they include to students with the help of teachers. Textbooks have an important
function, especially in Turkish lessons, in making students acquire basic language skills. This function originates
from texts included in textbooks. For, in Turkish lessons, students are made to acquire all the language skills
(reading, writing, speaking, listening and grammar) through activities prepared starting from these texts (Çeçen
and Çiftçi, 2007, p. 39).
Student’s textbook, student’s workbook and teacher’s guide are considered as indispensable
complementary tools in the learning and teaching processes realized in the school environment of the Turkish
course. Not only are texts included in textbooks the basic materials of grammar teaching, but also opportunities
offered by the activities prepared according to the constructivist approach determine the quality of education.
The quality of grammar teaching depends on not only textbooks but also a stage-wise programming
prepared according to levels of students. In the Turkish Language Teaching Program prepared in 2006 and
specifying the framework of grammar teaching, the basic grammar teaching is started in the 6th grade. In the
program, starting with the 6th grade, the following acquisitions are included with the aims of supporting the basic
language skills and making students comprehend the functioning properties of the Turkish language:
1. Comprehension and practice of the knowledge and rules with respect to the structural properties of
words
2. Comprehension and practice of the knowledge and rules with respect to the types of words.
As understood from the main acquisition headings of the program, the grammar teaching at primary
education level is started on the basis of making students comprehend the properties that the Turkish language
has on the word dimension. It is aimed to make students comprehend the knowledge and rules concerning the
structural properties of words with the following sub-headings of the 1st acquisition:
1.1. Comprehend root and affix.
1.2. Distinguish between noun affix and verb affix.
1.3. Distinguish between derivational affix and inflectional affix.
1.4. Comprehend stem.
1.5. Comprehend the functions of derivational affixes and the meaning properties they attach to words.
1.6. Comprehend compound words.
1.7. Distinguish between simple, derived and compound words.
And it is aimed to make students learn about the knowledge and rules concerning the types of words with the
following sub-headings of the 2nd acquisition:
2.1. Comprehend the functions of nouns in a sentence; use nouns in accordance with their functions.
2.2. Perceive the functions of pronouns in a sentence; use pronouns in accordance with their functions.
2.3. Comprehend the functions of the affixes indicating aspect.
2.4. Comprehend the functions of the affixes indicating possession.
2.5. Comprehend the construction and meaning properties of noun phrases.
2.6. Perceive the functions adjectives in a sentence; use adjectives in accordance with their functions.
2.7. Comprehend the construction and meaning properties of adjective phrases.
2.8. Comprehend the functions of prepositions, conjunctions, exclamations and the meaning properties
they attach to a sentence; use these words in accordance with their functions.

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2.9. Use words in different positions in a sentence.
These statements, included in the Turkish Language Teaching Program prepared in 2006, are an
indication of the transition from behaviorist approach to constructivist approach.
The evaluations that we have hitherto made indicate that the Turkish textbooks prepared within the
framework of the Turkish Language Teaching Program need to be the tools of the constructivist approach.
Starting from this thought, the basic aim of our study is to evaluate the opportunities that the Turkish textbooks
offer to students in terms of the constructivist approach within the framework of grammar teaching. However,
our study’s remaining within the boundaries of a paper has made it possible to evaluate only the Primary
Education 6th Grade Turkish Course Student’s Workbook.

Contents of the Primary Education 6th Grade Turkish Course Student’s Workbook
The Primary Education 6th Grade Turkish Course Student’s Workbook includes chapters sectioned on
the basis of six different themes considering students’ interests and needs and certain language acquisitions.
Under these themes, there are a total of 247 activities depending on 26 texts in different types. And 61 –
approximately 25%- of the 247 activities are grammar ones.
At the end of each theme in the book, there are also six different review sections under the heading of
Theme Review Questions.

Examination of the Grammar Activities in the Primary Education 6th Grade Turkish
Course Student’s Workbook
The grammar activities of the Primary Education 6th Grade Turkish Course Student’s Workbook consist
of word, sentence and text level practices. In order to make students achieve the above-mentioned behavioral
objectives related to language skills, there are activities in the processes of elicitation, comprehension and
consolidation. In these processes, knowledge and rules are not offered to students, but instead elicitation and
comprehension are realized through examples.
When the activities that students are supposed to perform in the workbook are evaluated as a whole, it
can be stated that they have been organized on the basis of the constructivist learning. Not offering knowledge or
rules in any of the sample activities is an indication of the fact that the constructivist approach has been applied.
Moreover, the activities’ having been given largely within the sentence integrity and context and supported with
visual elements contributes to the realization of the constructivist learning.
It is obvious that grammar, a field of learning which can be acquired through practice, needs to have
some unique methods and techniques. In this context, in order to let students achieve the grammar-related
acquisitions, the activities included in the workbook have been created using various methods and techniques. As
a result of the present study made on the Primary Education 6th Grade Turkish Course Student’s Workbook, it
was observed that the activities are in the forms of analysis, grouping, completion, combining, matching, using
in a sentence and explanation.
Analysis
The majority of the grammar activities included in the workbook is in the form of analysis. With this
type of activities, it has been aimed to make students perceive similarities and differences through analysis and
then comprehend them. In the following sample activity, students are asked to read the paragraph first and then
analyze the underlined words in accordance with the example given.

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Table 1: Sample analysis activity
Grouping
One of the types of activities frequently included in the Primary Education 6th Grade Turkish Course
Student’s Workbook is grouping activities. And with this example where students are asked to group by
separating noun and verb roots into parts with different colors, it has been intended to make students consolidate
the subjects of nouns and verbs that they have previously learned.

Table 2: Sample grouping activity
Completion
Word formation occupies an important place among the grammar works of the Turkish language, an
agglutinative one. The extent to which students can lexicalize the words they already know with different affixes
will determine the ease of use of the language. In the activity given below, too, students are asked to derive new
meanings by adding different derivational affixes to word stems. By this way, it is aimed to have students
construct different meanings on their own through the use of different affixes.

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Table 3: Sample completion activity

Combining
Just as in many languages, words and additional combinations show unique features in Turkish as well.
In the following sample, with this feature acquired through many experiences during the process of the use of
language, it is aimed to have students elicit and comprehend the fact that not every affix is used with every word
in Turkish, and affix-root combinations differ depending on the properties of affixes and roots.

Table 4: Sample combining activity
Matching
In the Turkish Workbook, matching activities are less in number compared to those mentioned above.
In the following examples, it is aimed to have students identify the persons to which affixes indicating
possession that words derived from nouns bear correspond.

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Table 5: Sample matching activity
Using in a sentence
Making sentences, using words in different sentence patterns, is an important criterion indicating the
language competence of individuals using the language. Developing students’ skills of making correct and
effective sentences in different structures and constructions is among the important goals of the Turkish course.
In the following sample, too, students are asked to use the words given in the forms of preposition, conjunction
and exclamation in a sentence correctly. By this way, it is aimed to ask students to construct meanings on their
own starting from the words given in the direction of their skills.

Table 6: Sample using in a sentence activity
Explanation
In the sample activity below, students are asked first to perceive the semantic relationships between the
underlined words in the whole sentence and then to explain them. With this type of activity, it is aimed to make
students determine and express the functions of similar units in different sentences with the constructivist
approach.

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Table 7: Sample explanation activity

Conclusion
One of the primary aims of grammar teaching is to make students comprehend the semantic and
syntactic properties of the language as much as possible. For this reason, the Turkish Course Teaching Program
and the Turkish textbooks prepared on the basis of this need to be introduced with a constructivist approach with
which students explore knowledge and rules on their own. The findings obtained as a result of the investigations
made starting from this thought indicate that the Primary Education 6th Grade Turkish Course Student’s
Workbook is a product of such an approach and effort.
In the studies and observations made on learning, it has been concluded that the knowledge and skills
acquired through practice are more permanent. This situation can be observed more concretely in language
teaching. To make this objective possible, it is no doubt necessary to make students frequently be exposed to
sample practices. The Primary Education 6th Grade Turkish Course Student’s Workbook as an activity-based
teaching tool is of quality that will contribute to students’ developing their language skills.
The Primary Education 6th Grade Turkish Course Student’s Workbook prepared on the basis of the
constructivist approach put forward by the Turkish Course Teaching Program paves the way for students to
reach information and rules on their own through various activities in the forms of analysis, grouping,
completion, combining, matching, using in a sentence and explanation. The fact that the book does not include
any kinds of information and definitions fits the very spirit of the constructivist approach. Moreover, the
activities’ having been supported with visuals to concretize learning appears as a benefit as well. But in the
meantime, we have some evaluations that should be included in the workbook in terms of the constructivist
approach.
For the 6th graders having newly met the knowledge area of the language following the skills area, the
concrete learning should, no doubt, be started starting from the known elements. Structuring a grammar teaching
over the texts about which students already know is rather important in terms of comprehensible and permanent
teaching. In this sense, the arrangement of some of the activities in the Primary Education 6th Grade Turkish
Course Student’s Workbook independently from reading texts may pose an obstacle in front of students’
developing their knowledge and skills. It will be appropriate to revise and re-evaluate the activities in the
workbook within this framework.
Another problematic point present in the Primary Education 6th Grade Turkish Course Student’s
Workbook is that some examples in the activities have been given independently from the sentence integrity.
The examples to be given with respect to the subject should be given in sentence integrity. Such an approach will
make students perceive the pieces of information as the parts of the language they use. Artificial and independent
examples may not only make it difficult for students to structure their knowledge and skills but also pose an
obstacle in front of their making sense of statements.
In conclusion, although the Primary Education 6th Grade Turkish Course Student’s Workbook prepared
based on the constructivist approach is regarded as an effective tool in the grammar field of the Turkish teaching,
it should be re-evaluated under the light of the findings and suggestions specified and its quality should be
increased in this direction.

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References
Adalı, O. (1983), Anadili Olarak Türkçe Ögretimi Üstüne,. Ankara, Türk Dili, S: 379–380, s. 34–35.
Calp, M. (2007), Özel Öğretim Alanı Olarak Türkçe Öğretimi, Konya: Eğitim Kitabevi.
Cemiloğlu, M. (2004), Đlköğretim Okullarında Türkçe Öğretimi, Đstanbul, Aktüel Yayınları
Çeçen, M. A., Çiftçi, Ö. (2007). Đlköğretim 6. Sınıf Türkçe Ders Kitaplarında Yer Alan Metinlerin Tür ve Tema
Açısından Đncelenmesi. Millî Eğitim, S: 173, s. 39–49.
Đlköğretim Türkçe 6 Çalışma Kitabı (2008), Ankara, MEB Devlet Kitapları Müdürlüğü.
Đlköğretim Türkçe Dersi (6,7,8. sınıflar) Öğretim Programı (2006), Ankara, T.C. Millî Eğitim Bakanlığı Talim
ve Terbiye Kurulu Başkanlığı.
Shunk, D. H. (1996). Learning Theories: An Educational Perspective, New Jersey, Prentice-Hall, Inc.
YAPICI, Mehmet. ”Yapılandırmacılık ve Sınıf”,
(http://www.universitetoplum.org/pdf/pdf_UT_312.pdf, 05.05.2010.

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The Roles and the Organization of University in the Context of Lifelong
Learning
Prof. Dr. R. Cengiz AKÇAY
Çanakkale Onsekiz Mart Üniversity, Faculty of Education
rakcay@comu.edu.tr

Prof. Dr. Mehmet Durdu KARSLI
Çanakkale Onsekiz Mart Üniversity, Faculty of Education
mkarsli@comu.edu.tr

Abstract:Universities have been criticized more for managing their functions and roles. A new
determiner of the universities’ duties for the society is the concept of life long learning. The fact
that the number of the people desiring to develop their level of education is increasing and age
groups are changing by including not only the youth but also all age groups requires that
universities should be supplied with the global necessities and should change their structures
within the concept of LLL.
Life is a singly process of learning. Every person needs constant, planned and institutive
educational opportunities so as to be prepared for the changes around to activate the whole
potential. Life long learning is the complete of the all educational activities including the
information, abilities and competences related to personal, social and employment to be
developed during the life period.
The aim of this study is to put forward the effect of the LLL concept developing especially in
EU on the universities; to redefine the aims, roles and duties of the universities changing with
this effect; to determine the need of reorganization and discuss the differences emerging with the
LLL effect in the new structures of the universities.
In Europe, tranferring to information based economy and information society are obliged to be
carried by the help of direction to the life long learning. The topic of life long learning has
destroyed the understanding of where to perform the educational activities.
Universities in need of education in order to be powerful against the changing preferences of
customers and competition should change their aims and aim groups to serve the perpective of
life long learning and accept people from all ages and levels. This change requires the change in
the structure and educational methods. Organization should be more flexible and teaching
method should be more students-centered and less formal.

Problem
The classical approach related to the imparting function of the school within the society has been
criticized by many others and it is claimed that the school increases the inequalities. The universities have also
been criticized ever increasingly for functioning and playing their roles. The new determiner of “where must the
place of university be in the society?” in recent years is the concept of lifelong learning (LLL).
The increasing number of the individuals with the wish of promoting their education level and the
changing of age groups by containing not only youth but also everybody require a global provision of needs and
a change in the structure of the universities according to these qualities and in the direction of the LLL concept.
Life is a learning process on its own. Every person needs constant, planned and organizational
opportunities of education for the purpose of being ready for the changes around him/her and activating his/her
whole potential. Lifelong learning is all educational activities that include the lifelong development of all
information, abilities and competence about personal and social employment.
In recent years the developments which have largely influenced the higher education institutions can be
ordered as: a) globalization, b) the increasing need for lifelong learning, c) the quick and compact developments
in cognition and communication technologies (Yılmaz and Horzum,2005).
Lifelong education (LLE) is adopted as an approach that responds the needs of being an information
society, integration of formal and non-formal education, and the continuity of education. Ever increasing demand
and requirement for lifelong learning lands higher education institutions with educational responsibilities to
respond these requirements and demands (Erçetin, 2001). These new responsibilities make universities’ new
construction and organizational alteration obligatory.

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The objective of this study is presenting the impact of LLL , which is improving in EU, on universities;
redefining the changing objectives, roles, and tasks of universities with this impact; determining the need of
reorganization and discussing the differences that have arisen by LLL effect in new university construction.

LLL
The Lifelong Education concept first became a discussion subject in an international ambiance as
UNESCO, OECD and CE in 1970s. But it was used differently from its current meaning. Whenever lifelong
education (LLE) is available in this period humanistic ideals, social and cultural objectives have primarily been
accepted. Until 1990s humanistic objective had been lost because of the economic crisis and LLE came into
prominence by economic discourses. In this period the concept was generally in an obscure and ineffective
condition. Since 1990s LLE has widely lost its humanistic aspect and fallen into a pragmatic and economic
understanding. In 2000s the concept has started to be handled with a new understanding by especially EU
(Beycioğlu ve Konan, 2008).
The LLL concept, by its meaning in developed countries, takes the individual as the centre and has a
characteristic which asserts that non-formal learning must be accentuated and the state’s burden on education
must be decreased (DPT,2001:2).
LLE has made for three main objectives. These are: enabling individual’s personal development by
creating opportunities in LLL, achieving the social integration and providing the economic growth (DPT,
200:15).
In this point it is good to refer to the conceptual discussions of late years and their LLE policy and
applications. Particularly from the point that globalization started to be effective to now the LLL concept has
been preferred to the concept of LLE.
According to common view LLL maintains a strategy development for post-school education and
reshapes the education including adult education (Edwards and Usher; 2001). LLL has become more and more
opt for LLE. The changing of interest to LLL leads the people to be a lifelong learner and the governments
encourage the citizens to be more responsible and active in their own lives. The goals, processes, organizational
structures and curricula of the educational institutions vary under the expression of LLL. The stream of LLL will
break the monopoly of institutionalized education on information, production and evaluation and the authorities
and capacities of these institutions will be able to be questioned. As it has begun to be accepted that learning
consists a lot of activities apart from institutions, many activities including learning can be qualified as
“educational” (Edwards and Usher; 2001). All these evaluations and claims will keep on being discussed.
Because LLE will increasingly affect education systems.
The concept of LLE is a notion that is impacted densely by the globalization that emphasizes
individualism. Therefore, it requires a minimum individual development, the eminence of educational
experiences and literacy, shortly it implies all society education’s coming to a minimal/ acceptable degree. In the
countries without such levels of development LLL concept must be changed into LLE concept and
understanding. Because institution and state efforts and breakthroughs are needed in these countries. The people
must have a critical view and transformation will so as to form a distinctive future and life. LLE can only gain
meaning under these circumstances (Ayhan, 2005:21). Otherwise brutal competitive conditions will swallow the
individuals that experience educational and the other absences extremely. These individuals are in the need for
protection. This protection must occur by means of LLE policies.
As a result the scope of LLE is of importance in the sense of this concept’s provision of functional and
expected benefits. We can order the scope of LLE as:
a) Formal-non formal education
b) Professional- general education
c) Olds-youngs
d) Employers – non employers and job seekers
e) Lepers and the ones looking for speciality.
LLL must be organized and developed in the form of including all these groups and structures.

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Globalization and LLL
Globalization is on one hand perceived as market’s being more powerful than states and their
proliferation, on the other hand it is a simple term that is used by the circles who intend to destroy welfare state
and government. To transformists globalization is the main politic power behind the quick social, politic and
economic evolutions that reshape modern societies and the world order. There is no clear difference between
external affairs (international relations) and internal affairs any more (Bozkurt,2002 Güçlü, 2003). There are also
ones who evaluate globalization as a new form of Americanization, capitalism, imperialism. Kızılçelik (2004)
sees globalization as international economic relations that arose in the world after the cold war. Such that he
asserts globalization can be thought with capitalist modernism and can only be declared within this framework.
Accordingly it can also be said that there are some people who interpret globalization as the new form of
capitalism or imperialism. Actually lots of evidences show that it is reportedly correct (Yılmaz and Horzum,
2005).
On the one part it is emphasized that globalization is necessary and it is a transition process, on the
other part globalization is seen as a threat to the current order and values. At this point the evaluation of the
probable results of globalization and cultivation of individuals being able to cope with these evolutions are of
great importance (Yılmaz and Horzum,2005).
Globalization has deep and permanent impacts on universities. Because globalization weakened two
main assumptions behind university like “nation state” and “welfare state”. Now it is difficult to consider the
problem of university independently from welfare state, nation state and similar problems. The declination of
these two concepts exposed the result that the state decreased the resources reserved for universities (Yılmaz and
Horzum, 2005). Universities have been affected from these alternations positively or negatively. There are
different inclinations that impact the development, management, and financing of universities as
democratization, territorialization, polarization of the inequalities and marginalization. These developments
ensure universities’ revision of their relationship with state, industry and society.
While the reordering of the world higher education institutions have complicated in four dimensions:
They are (Callan 2000; Scott 1999; Erçetin,2001):
1) The intimacy of cultural identities in the face of the expansion of national cultures.
2) The reduction of the connection between higher education and national structures by means of
raising values.
3) The standardization of teaching owing to the quick expansion of cognition technology and global
search networks.
4) The composed global markets’ causing a decrease in the incomes of developed countries and
damaging public expenditures, thus higher education institutions.
All of these evolutions enforce higher education institutions to change and respond new structures and
organizations. In this sense it can be expressed that the higher education institutions of the future will survive
only if they turn into the organizations that continue their existences globally, that are autonomous in a financial,
managerial and academic sense, and that are integrated with global research cultures and networks (Erçetin,
2001).
Globalization has caused a radical change in economic system and human life within the industrial and
pre-industrial countries. Educational organizations need LLE in order to stay alive in the face of changing
consumer preferences and competition (Glastra, 2004).
EU and LLL
In Europe the successful transition to information based economy and information society is not
obligatory in company with orientation to LLL. The agenda of LLL has completely ruined the understandings
about where the learning will be done.
Emphasizing a transition to a information based economy first in 2000 in Lisbon, EU felt the absence
of education and by seeing it as one of the basic goods of “integration with union” process they adopted LLE
approach as common discourse (Beycioğlu and Konan,2008).
LLL was defined by EU as all learning activities in every period of human life with the purpose of
improving information, ability and proficiency, in the perspective related to personal, citizen, and social works.
Within the EU process LLL was first seen in a report called White Paper in 1995 and with the title of “Towards
a Learning Society” EU societies’ goals for LLL and things to do were handled (Yılmaz and Horzum, 2005;
Akbaş and Özdemir, 2002). The developments seen with this history can be summarized orderly as:

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1995. The publication of White Paper by European Commission. In this paper the elements that have
been defined as goals are: a) Encouraging individuals to gain new information, b) concentrating school and
business sectors, c) fight against exclusion, d) improving the proficiency in three of the union’s languages, e)
equalize the factory with the investment whose training is done.
1996. Declaration of Europe LLL year. This year’s three main goals are: a) inducing LLL concept, b)
expressing its meanings and features, c) revising the reality of this concept for all European citizens (Akbaş and
Özdemir, 2002).
In the formation of LLL in EU, Lisbon strategy of the year 2000 has played an important role. EU’s
desire for having a dynamic, competitive and information-based economy impacted LLL concept. For this
purpose these were suggested in 2001 The Ministers of Education Conference (Hake,2005:21):
a) Increasing the effectiveness and quality of EU education and upbringing systems,
b) Being sure that education is public,
c) Expanding education and upbringing to a wider world.
2000. Memorandum on Lifelong Learning. Two fundamental goals in this memorandum are: a) gaining
the necessary professional skills to adapt new information based society and participate in social and economic
life completely, b) introducing active European citizenship and fitting this in. This memorandum gives 6
important messages: a) gaining the information and skills that are needed by people for taking a part in
information based society, b) increasing the investments for human resources, c) developing effective methods
for LLL and introducing the innovations in the field of education, d) raising the status of education by
developing new learning strategies, e) providing a full access to quality education easily for everybody, f)
maintaining that people will benefit from the opportunities of LLL as soon as possible (Akbaş ve Özdemir,
2002).
2001. An action plan reflecting LLL memorandum and 6 key messages in 2000 was prepared.
2003. The Memorandum of Berlin. Within this memorandum the importance of higher education in
actualizing LLL is taken into consideration. In the way of achieving this goal several steps were taken to
conform national policies and to induce higher education institutions for developing LLL chances. They have
stressed that some opportunities must be created for citizens to follow – in the direction of their abilities and
expectations- the ways of LLL within and towards higher education (http://bologna.yok.gov.tr/index.php?page
=yazi&amp;i=11).
2007. The Memorandum of London. It has been asserted that some elements related to flexible
learning are available in many countries but the systematic development of flexible learning strategies that will
support LLL is just on the onset. Therefore studying in respect of developing a common understanding about
increasing the sharing of good applications and the role of higher education in LLL is required
(http://bologna.yok.gov.tr/index.php?page=yazi&amp;i=81).
It is thought that European Qualifications Framework for Lifelong Learning that was accepted formally
in April 2008 could be a reference tool, could enable the comparability of different countries’ education systems
and could develop employment, mobility and social integration of employers, graduates and students (Higher
Education National Qualifications Framework Draft Report of Turkey) (http://www.eqf-lll.eu/en/eqf_en).
2009. The Memorandum of Leuven . The expansion of participation must be actualized by means of
LLL which is a supplementary part of education systems. LLL is a piece of public liability. Accessibility, quality
assurance and information transparency have to be maintained. The application of LLL policies requires a strong
association between relevant institutions and people. LLL will be supported by suitable organizational structures
and financial resources. In the direction of LLL application the development of national qualifications
framework is an essential step.
In Europe the successful transition to information based economy and information society is not
obligatory in company with orientation to LLL. The agenda of LLL has completely ruined the understandings
about where the learning will be done.
LLL includes acquiring qualifications, increasing knowledge, getting new skills and perfections for
having personal development. LLL means the competence that can be acquired by flexible education strategies
including the gathered information from half-time education and business. In the documents about LLL in
Europe both the goals of learning, effective citizenship, personal/special satisfaction, social participation and the
aspects/approaches about employment heve been pointed out.
LLL applications can be established according to education steps as (EURYDICE, 2000; acc. Beycioğlu
ve Konan, 2008):
Pre-School Level: At this level the essential aim is to increase participation regarding with the
philosophy of “LLL from cradle to grave”.
Compulsory Education Level: Compulsory education must be perceived as the main step for LLL. In
this step there are some approaches connected with LLL phenomenon like learning how to learn, personal

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development, the education of citizenship and language learning. Similarly minimizing the school absence,
supporting education technologies, new forms of education, teaching and management, communication with
families are also evaluated as the supporting policies of LLL.
Secondary Education Level: In this step the continuity of LLL phenomenon and policies are stressed.
Professional and technical education are handled subjects in this level at the same time. Developing a positive
attitude and environment towards LLL is targeted. Decreasing the school absence and failure is one of the
interest areas.
Higher Education Level: It is the level in which LLL emphasis particularly comes into prominence. It
is intended that the learning individuals will prepare by using business resources more productively thus variety
will be maintained. Using computer technologies LLL phenomenon is tried to be actualized by means of more
flexible learning environments as distance education.
Post- Higher Education: Developing adult education is attempted. It can be evaluated as the primary
subject of LLL. Among member countries the support of finance and flexibility are given to this kind of
institutions.
To summarize, whichever education level it is, member countries emphasize LLL concept, they support
and encourage that will settle this phenomenon, create improving environments and bring about several
applications in this direction. As a result, since LLL concept has not been fit in a formal description in a general
sense within EU countries no direct definition is preferred. This condition can be a reason for “why is LLL
concept tackled in increasingly detailed way? ”. The concept keeps its actuality as still being considered and
discussed as an “ambiguous” phenomenon. In most EU member countries there is directly no formal text to
support this concept. LLL phenomenon is aimed to accommodate in education steps.
LLL and Universities
The universities which are in an urgent need of LLE to survive in the face of changing consumer
preferences and competition, must change their target groups and goals in this direction to a form that serve LLL
understanding and accept individuals of all ages and levels. This alteration brings with an obligation of change in
structure and education methods. Organization has to be more flexible where the teaching method must be more
student-centered and less formal.
The problems and changing areas that globalization has created on EU process and LLL understanding
are:
1. Taking an active part in solving global, regional and local problems emerged as an obligation. For
universities territorial level is not seen adequate.
2. The dilemma of local-global preferences. The alienation of universities to their own society and
problems going away from national and local area by means of globalization.
3. The problem of financing. Competition conditions in global economy pushed the universities into a
big financing problem.
4. Presenting education services that people will benefit from. Universities’ liability and roles in LLE
is the other important problem arising by the effect of EU process and globalization.
5. Using education technologies that are based on developed cognitive technologies. Distance
education is a fundamental device for LLE. Student’s accessibility to these opportunities is of
importance. It requires high investment costs for universities in order to improve cognition
occasions.
6. Educating with parallel to the needs of labour market, preparation of individuals for life and
maintaining his/her life.
7. Using flexible education programmes and methods in the direction of the requirements of different
student groups. Universities’ problem of exclusion comes to the forefront and student groups must
be reached with several reasons. Equal opportunity has to be the main goal in all cases.
8. The need for organization facing the arrangement of student’s education procedure and student’s
participation in determination of the method.
9. The settlement of student centered education and learning culture gained importance. In the
formation of this culture students must be encouraged to learn the learning.
10. The requirement of establishing a pivotal planning and coordination centre.
Higher education institutions must actualize this transformation that will respond the responsibility of
solving these problems. For this, the universities must put these into practice (UNESCO 2000) (Erçetin,2001):

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1.
2.
3.
4.
5.
6.
7.

Creating a better future for society and individual by means of research, whole interaction and
coordination activities of education and society.
In the transition to information society leading for refreshing the society by performing analysis,
production and consult which will maintain social transformation.
Taking an active role in solving global, regional and local problems.
Building a consciousness of LLE.
Serving the education services that people will lifelong benefit from.
Utilizing distance education technologies based upon developed cognition technologies.
The responsibility of giving education to non-undergraduates.

Education is an activity in which the individuals of all ages and amputations develop and integrate their
personalized cognitive powers for their own and for the future of humanity (Erçetin,2001). As it can be seen the
LLL responsibilities of the universities come into prominence now and will do so in the future.
The university of LLL understanding must be organized and structured as:
1. Before the organization of the universities the necessity of a national LLL organization must be
mentioned. Such an organization has primarily to be within The Ministry of Education but must be
equipped with new authorization in the subject of cooperation with relevant institutions and
organizations. At this point one important problem is the problem of a second institution
responsible for common-public education apart from The General Directorate of Apprenticeship
and Non-formal Education within The Ministry of Education. Instead of constructing a new
organization the solution of this problem is to reorganize the present structure in the manner that
responds the new understanding of LLL (General Directorate of LLL).
2. Establishing a committee that will describe LLL requirement and make the arrangement out of this
structure. The tasks of the committee called “ National Committee of LLL” must be forming
quality assurance system and standards of LLL and providing coordination also it must have an
autonomous structure.
3. Taking an active part in solving global and international problems caused by globalization and EU
process emerged as an obligation. Universities had to renew their visions for being more successful
in global competition and increasing their support for the organizations like EU. For universities
local and territorial levels are not seen as adequate and international expansions must enhance their
global activities as the members of the unions.
4. Universities must be some kinds of organizations that must reach not only the registered students of
formal education but also people of all ages and all environments especially the ones who are
excluded and the ones deprived from education opportunities; they must serve everybody,
everywhere, every time as flexible open and flexible organizations with all its dimensions like goal,
structure and process. For this purpose, they must first go into a changing progress in organizational
subjects. The understanding of flexible organization, particularly when it is thought that there is
monotype university organization, is gaining importance. In terms of LLL, their structuring with a
target of different groups is considered. Maybe, only the formation of LLL universities can be
guessed. LLL requires the understandings that make the organizations more effective as continuing
education centers. Certificate provider education and educational activities maintaining credit
saving demand LLL structures which are able to be accredited and have standard credits and
features.
5. LLL programmes also affect the education understanding and methods of the universities. Distance
education and dense utilization of information technologies are of these methods.
There are also some techniques to ease the settlement and development of new understandings and
organizations ordered above. Lateral communication and dominance of democratic administration culture is of
great importance on the settlement of these kinds of structures. The existence of administration culture based on
the effectiveness of the committees and the management understanding leaning against the distribution of dole
discretions are two of them.

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�</text>
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                <text>Eroğlu, Süleyman</text>
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                <text>The skill area of language covers listening/watching, reading, speaking and  writing; the knowledge area covers grammar. Grammar is the set of rules supporting basic  language skills. It is important for students to learn about the rules and knowledge  composing the structure and function of a language so that they can support other skills.  Undoubtedly, the way of functional and permanent grammar teaching is firstly to explain  about the knowledge and rules of language and then to construct them. The presence of  such an understanding in grammar teaching is possible primarily through the presence of a  Turkish Course Teaching Program prepared as based on constructivist approach and the  presence of teaching materials formed parallel to this. It is known that course books as a  teaching material play an important role in having students acquire certain skills. At this  point, it is obvious that there is a need to determine if course books possessing great  importance were prepared in accordance with the constructivist approach. The present  study aimed to evaluate the 6th Grade Turkish Workbook, one of the Turkish teaching  materials and expected to have been prepared in accordance with the constructivist  approach and still in use; it also aimed to determine the extent to which the various  activities in grammar teaching area included in the book meet the requirements of the  constructivist approach</text>
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