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                    <text>A Study of Differences in Learning Orientations of EFL Students
Öznur Semiz
English Language and Literature Department
Karadeniz TechnicalUniversity
Turkey
oznur@atauni.edu
Makbule Küleri
English Language Teaching Department
Atatürk University
gamzegen@yahoo.com
Abstract: This study reports on an investigation into differences in learning orientations of EFL
students at Atatürk University located in Erzurum, Turkey, using Vermunt’s (1977) Inventory of
Learning Styles (ILS). The Inventory of Learning Styles (ILS) is an instrument aimed at measuring
several components of student learning, namely, cognitive processing strategies, metacognitive
regulation strategies, conceptions of learning, and learning orientations. This study focuses on
determining patterns in student learning in only one learning style category: learning orientations.
For statistical analyses, Mann Whitney U and Kruskal Wallis tests were used. No significant
differences were found with regards to department. Some significant differences were present with
respect to gender and class level.

Introduction
Students in higher education differ in what they hope to achieve from being in higher education. Some wish
to gain a qualification, while for others their main concern is to pursue an interest. The orientation of the students
towards learning and the higher education study is a significant determinant of what students in higher education
attend to, how they study, and finally what they learn. Beaty, Gibbs, and Morgan (1997) introduced four learning
orientations based on four main functions of higher education—academic, vocational, personal and social. They
define learning orientations as “all those attitudes and aims which express the student's individual relationship with a
course of study and the university. It is the collection of purposes which form the personal context for the individual
student's learning. The idea of an orientation assumes that students have an active relationship with their studying.
From the point of view of learning orientation, success and failure is judged in terms of the extent to which students
fulfill their own aims”(p. 76).
The work of Beaty and her colleagues on learning orientations overlaps with dimensions within Vermunt's
(1998) Inventory of Learning Styles (ILS), discussed later, and also with the literature on goal orientation theory;
however, it differs in important ways. Goal orientation theory has typically focused on students’ perceptions of why
they are trying to achieve in academic settings with most of the research being centred on the study of task goals and
ability goals (Urdan &amp; Maehr, 1995). In contrast, learning orientations focus more on students’ perceptions of what
they are trying to achieve in their studying (Entwistle &amp; Peterson, 2005) . The concept of “learning orientation” refer
to the whole domain of personal goals, intentions, motives, expectations, attitudes, concerns, and doubts students
have in following a educational programme or a course (Gibbs, Morgan &amp; Taylor, 1984). They are long-term general
educational goals students set for themselves. There will thus always be a mixture of motives for attending higher
education and choosing a particular set of courses. As students progress through higher education, their orientations
usually change. This tends to happen with changing circumstances and in re-evaluating their own capabilities and
intentions and develop when an individual interacts with a given higher education context at a particular time in
her/his life (Webber,2004).
In the ILS, the learning orientation domain (motivation) has five scales: personally interested, certificate
oriented, self-test oriented, vocation oriented, and ambivalent. These sub-sections focused upon in this study are:
1. Personal interests where students are motivated from perceived intrinsic benefits to themselves. Students with this
orientation are motivated by their interest in the subject and their own personal development;

101

�2. Certificate directed interests where learning is seen as being a means to an end – to pass exams or obtain
a certification. Students with this orientation see education primarily as a means of obtaining a certificate or
qualification;
3. Self-test directed interests where learning is seen as a personal challenge. This includes studying to test one’s own
capabilities and to prove to oneself and others that one is able to cope with the demands of higher education.
4. Vocation directed interests where learning is a means to advance in a profession or trade learning. Students with
this orientation see education primarily as a means of acquiring skills for a specific occupation and for securing
employment;
5. Ambivalent directed interest where the process is perceived as too challenging and/or inappropriate. Students with
this orientation have an insecure, hesitant attitude towards education and little confidence in their learning abilities.
Table 1 shows sample items from the subscales.

___________________________________________________________________________
1. Personally Interested
60. The only aim of my studies is to enrich myself.
73. I do these studies because I like to learn and study.
2. Certificate Directed
63.
What I want in these studies is to earn credits for a diploma.
75.
To me, written proof of having passed an exam represents something of value in itself.
3. Self-Test Directed
53. I want to prove to myself that I am capable of doing studies in higher education.
67. I want to discover my own qualities, the things I am capable and incapable of.
4. Vocation Directed
62. For the kind of work I would like to do, I need to have studied in higher education.
68. What I want to acquire above all through my studies is professional skill.
5. Ambivalent
54. I doubt whether this is the right subject area for me.
70. I wonder whether these studies are worth al the effort.

Table 1. Sample Items from ILS

The Study
The Aim of the Study
The aim of this study is to determine differences in learning orientations of EFL students with respect to
selected variables, such as department, class level and gender. The research question guiding the present study is:
Are there any differences in learning orientations of EFL students with respect to department, gender and class level?
Participants
EFL students at Departments of English Language Teaching (ELT) and English Language and Literature
(ELL) were invited to participate in this study. Interested students were given a brief and informative overview of the
nature and purpose of the study during a lesson. A total of 308 EFL students volunteered to participate in this study.
Of these, 157 were ELT (50, 6%) and 152 were ELL (49, 4%). Of the participants, 79 (25, 6%) were male, 229 (74,
4%) were female. The total sample consisted of 74 (24%) sophomores, 89 (28, 9%) juniors and 145 (47, 1%) seniors.
Freshmen students were not included in the study because they were absent
Instrument
The Inventory of Learning Styles (ILS) (Vermunt 1998) has been developed in the context of higher
education, and helps to determine three different levels of student learning. Vermunt (1996,1998) uses the term
‘learning style’ as a superordinate concept in which the cognitive and affective processing of subject matter, the
metacognitive regulation of learning, mental models of learning, and learning orientations are united. The Inventory
of Learning Styles has both 100-item and 120-item versions and provides scores on four learning styles and four
domains. The four learning domains were identified as cognitive processing strategies (cognition), metacognitive

102

�regulation strategies (metacognition), conceptions of learning (views about teaching and learning), and learning
orientations (motivation). Each of these had five scales (Vermunt, 1996, 1998, 2005). This study focuses on
determining patterns in student learning in only one learning style category: learning orientations. The survey
instrument consisted of 25 items. Students were asked to indicate on a five-point scale (1.Disagree entirely, 2.
Disagree for the most part, 3. Undecided, 4. Agree for the most part and 5. Agree entirely) the degree to which the
described items correspond to their own practice, views or motives.

Data Analysis
Data were analyzed using the Statistical Package for Social Sciences (SPSS version 16, 0). Since the aim of
the study is to assess whether there are significant departmental, gender and class differences in respondents’
perceptions and the data for the ILS consisted of ordinal variables, the Wilcoxon-Mann-Whitney and Kruskal Wallis
tests were used. The Wilcoxon-Mann-Whitney test (also called the Wilcoxon rank sum test or the Mann-Whitney U
test) is a non-parametric test and is analogous to the parametric two sample t-test. The Wilcoxon-Mann-Whitney test
is used to test whether the difference between the medians of the two groups is significant. The Kruskal-Wallis test is
used to determine whether differences among three or more groups are significant in situations that do not meet the
assumptions necessary for ANOVA. These tests are used when the normality assumption is questionable and/or
when data is ordinal, i.e. when the data can be ranked. Thus, they are most suitable for an analysis in this study.

Findings
Results of the Mann Whitney U-test for learning orientation scores of ELT and ELL groups are presented in
Table 2. Mann-Whitney U-test (P&lt;.05) test showed that ELT and ELL students do not appear to differ in their
learning orientations. Most of the differences found between departments were very small. Some moderate
differences were: ELT students were more personally interested, certificate directed and self-test directed. ELL
students were slightly more vocation directed and ambivalent.
Subscale

Department

N

Mean

Z

Rank
PersonallyInterested

CertificateDirected

SelfTestDirected

VocationDirected

Ambivalent

ELT

156

ELL

152

Total

308

ELT

156

ELL

152

Total

308

ELT

156

ELL

152

Total

308

ELT

156

ELL

152

Total

308

ELT

156

ELL

152

Total

308

Asymp.
Sig.

161,38
147,44

155,39
153,59

,859

-

,741

-

,652

-

,870

,452

153,68
155,34

-

,330

152,25
156,81

,167

,178

156,15
152,81

1,380

,164

Table 2. Results of the Mann Whitney U-test for Learning Orientation Scores of ELT and ELL Groups
In regard to class level differences, Kruskal-Wallis test (p &lt; .05) revealed that sophomores had the highest

103

�rank on personal interest (170, 24), Sef-test directed (164, 79) and vocation directed (170, 57) scales. Seniors had the
highest rank on certificate-directed (168, 99) and ambivalent (164, 92) scales. Juniors occupied the middle rank
position on all five scales. Table 3 displays the results of the Kruskal-Wallis test.

Subscale

Class

N

Mean
Rank

PersonallyInterested

CertificateDirected

SelfTestDirected

VocationDirected

Ambivalent

Asymp.
Sig.

Sophomore

74

170,24

Junior

89

161,44

Senior

145

142,21

Total

308

Sophomore

74

129,47

Junior

89

151,71

Senior

145

168,99

Total

308

Sophomore

74

164,79

Junior

89

153,89

Senior

145

149,62

Total

308

Sophomore

74

170,57

Junior

89

162,04

Senior

145

141,67

Total

308

Sophomore

74

137,88

Junior

89

151,34

Senior

145

164,92

Total

308

,059

,007

,487

,047

,095

Table 3. Kruskal Wallis Test results of Class Level Differences
Table 4 shows the results of the Mann-Whitney U-test (P&lt;.05) that was used to test for group differences
between male and female students. With respect to gender, the results of the Mann-Whitney U test showed there
were significant differences in the perceptions of female and male students. Female students were found to be more
personally interested more self-test directed and more vocation directed than male students. However, male students
scored high on ambivalent and certificate-directed scales.

104

�Subscale

Gender

N

Mean

Z

Rank
PersonallyInterested

CertificateDirected

SelfTestDirected

VocationDirected

Ambivalent

Female

229

Male

79

Total

308

Female

229

Male

79

Total

308

Female

229

Male

79

Total

308

Female

229

Male

79

Total

308

Female

229

Male

79

Total

308

Asymp.
Sig.

163,97
127,05

150,97
164,73

,235

-

,010

-

,012

-

,012

2,509

150,42
166,32

-

2,576

161,95
132,91

,001

1,188

162,15
132,32

3,192

1,372

Table 4. Results of the Mann Whitney U-test for Gender Differences

Conclusion
The aim of this study was to determine whether there are differences in learning orientations of EFL with
respect to department, class grade and gender. The results show that both departments in this study generally held
similar views about what motivates them to learn. For that reason, it seems possible to conclude that learning
orientations of EFL students do not vary by educational context. The results showed that gender and class level are
important sources of variations in learning orientations. Fore example, female students were found to have more
personal interest than male students and male students are more certificate-directed than female students. It seems
that in Turkish culture, gender is still a key variable that may directly influence or even determine attitudes or
motivations or behaviors (Tercanlıoğlu, 2005). Another finding is that as students progress through higher education,
they more likely become less personally interested, self-test directed ,vocation-directed and more certificate-directed
and ambivalent.
Although the results of this study are limited in terms of sample size and generalization, it gives some
insight into what motivates students to learn in an academic environment and the motives, objectives and attitudes
they may have with regard to their studies. Students may display several goals for studying, for instance gathering
knowledge, passing exams, avoiding failure, pleasing parents, and qualifying for later studies or a future profession.
These orientations are believed to influence the way learning takes place (Boekaerts, 1996 and Pintrich &amp; Schunk,
1996). To understand the academic behaviors of university students, researchers and educators must begin by
understanding what motivates university students to engage in such behaviors in the first place. Therefore, a learning
orientation provides a useful construct for understanding a student’s personal context for study (Beaty et al, 1997)
and contributes to our understanding of what students learn. As France and Beaty (1998) point out, they provide a
means of gaining a better understanding of the complexities of learner motivations and how these influence learning.
An understanding of learning orientations may be extremely useful to both educators and students in
understanding student motivations and making the most of learning opportunities. Focusing on orientations to
learning could prove an effective means of helping students to challenge their own assumptions about higher
education and explore possibilities which they would otherwise not have considered.

105

�References
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Experience of Learning. 2nd ed. Edinburgh: Scottish Academic Press, 1997, 72–86.
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Coeffield, F. M. D. Hall, E. and Ecclestone, K. (2004) Learning Style and Pedagogy in Post–16 Learning: A systematic and
critical review. London: Learning and Skills Research Centre.
Entwistle, N.J. &amp; Peterson,E. R. 2004. Conceptions of Learning and Knowledge in Higher Education: Relationships with Study
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Vermetten, Y.J. Vermunt, J.D. &amp; Lodewijks, H.G. (1999b). A longitudinal perspective on learning strategies in higher education:
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                <text>A Study on Micropropagation as a Tool for  Sustainable Utilization of Jujube (Zizyphus  jujuba Mill.) Genotypes</text>
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YILDIRIM ADNAN, Nurhan
YILDIRIM, Fatma
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                <text>Micropropagation is as a tool for sustainable utilization and allows the  production of a large number of virus-free clones within a short period. Also,  micropropagationis fundamental for the conservation of genetic resources. The  presentstudy was carried out to establish protocols for the invitropropagation of Jujube  (Ziziphusspp)and contribute to the conservation of plant geneticresources.In the study,  shoot tips of two selected jujube genotypes (20-C-10 and 20-C-22) were used as a material.  MS (Murashige and Skoog) medium supplemented with both TDZ (thidiazuron) and BAP  (benzylaminopurine) as a cytokinin was used for micropropagation of jujube genotypes.  The highest percentage of explants forming shoots (93.3 %) and the highest number of  shoot per explants (5.7) was obtained on the MS medium containing 0.1 mg/l TDZ+0.5  mg/l BAP+0.1 mg/l IBA (indolebutyric acid)+0.3 mg/l GA3(gibberellic acid) in 20-C-10  jujube genotype. The highest rooting percentages of 20-C-10 and 20-C-22 jujube  genotypes (83.3 % and 80.0 %, respectively) were obtained on half-strength MS medium  supplemented with 2.0 mg/l IBA.  Keywords: jujube, micropropagation, thidiazuron, benzylaminopurine, in vitro rooting</text>
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                    <text>A STUDY ON MICROPROPAGATION AS A TOOL FOR SUSTAINABLE
UTILIZATION OF JUJUBE (ZIZYPHUS JUJUBA MILL.) GENOTYPES
Bekir San
Süleyman Demirel University, Isparta, Turkey
Adnan Nurhan Yıldırım
Süleyman Demirel University, Isparta, Turkey
Fatma Yıldırım
Süleyman Demirel University, Isparta, Turkey
Fevzi Mustafa Ecevit
Süleyman Demirel University, Isparta, Turkey
Keywords: jujube, micropropagation, thidiazuron, benzylaminopurine, in vitro rooting.
ABSTRACT
Micropropagation is a very important propagation technique for fruit trees based on especially
obtaining virus free sapling. In the present study, shoot tips of two selected jujube genotypes (20Ç-10 and 20-Ç-22) were used as a material. The effects of different growth regulator
combinations, carbon sources (sucrose, glucose and fructose) and silver nitrate concentrations on
in vitro propagation of jujube were investigated. Shoot formation was observed on the medium
containing TDZ alone as a cytokinin, but shoots were very short and unhealthy. In addition that,
when the medium supplemented with BAP alone was used, new shoot regeneration from
explants was not observed. Therefore, MS medium supplemented with both TDZ and BAP as a
cytokinin was used for in vitro micropropagation of jujube genotypes. The highest percentage of
explants forming shoots (93.3 %) and the highest number of shoots per explant (5.7) were
obtained on the MS medium containing 0.1 mg/l TDZ+0.5 mg/l BAP+0.1 mg/l IBA+0.3 mg/l
GA3 in 20-Ç-10 jujube genotype. Different amounts of carbon source and silver nitrate did not
increase the percentage of explant forming shoots and the number of shoots per explants in the
both genotypes compared to control treatment. The highest rooting percentages of 20-Ç-10 and
20-Ç-22 jujube genotypes (83.3 % and 80.0 %, respectively) were obtained on half-strength MS
medium supplemented with 2.0 mg/l IBA.

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                <text>Keywords: jujube, micropropagation, thidiazuron, benzylaminopurine, in vitro rooting.  ABSTRACT  Micropropagation is a very important propagation technique for fruit trees based on especially obtaining virus free sapling. In the present study, shoot tips of two selected jujube genotypes (20-Ç-10 and 20-Ç-22) were used as a material. The effects of different growth regulator combinations, carbon sources (sucrose, glucose and fructose) and silver nitrate concentrations on in vitro propagation of jujube were investigated. Shoot formation was observed on the medium containing TDZ alone as a cytokinin, but shoots were very short and unhealthy. In addition that, when the medium supplemented with BAP alone was used, new shoot regeneration from explants was not observed. Therefore, MS medium supplemented with both TDZ and BAP as a cytokinin was used for in vitro micropropagation of jujube genotypes. The highest percentage of explants forming shoots (93.3 %) and the highest number of shoots per explant (5.7) were obtained on the MS medium containing 0.1 mg/l TDZ+0.5 mg/l BAP+0.1 mg/l IBA+0.3 mg/l GA3 in 20-Ç-10 jujube genotype. Different amounts of carbon source and silver nitrate did not increase the percentage of explant forming shoots and the number of shoots per explants in the both genotypes compared to control treatment. The highest rooting percentages of 20-Ç-10 and 20-Ç-22 jujube genotypes (83.3 % and 80.0 %, respectively) were obtained on half-strength MS medium supplemented with 2.0 mg/l IBA.</text>
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                    <text>A Study on Teacher Leadership Styles of Teacher Candidates Studying at the
Departments of Secondary Education
Muhammet Hanifi ERCOŞKUN
Fatih BEKTAŞ
Ahmet NALÇACI
Kazım Karabekir Education Faculty
Atatürk University, Erzurum
Turkey
ercoskun@atauni.edu.tr

Abstract: The aim of this research is to determine teacher leadership styles of teacher candidates
studying at the departments of secondary education. Sample of the study is composed of
candidate teachers studying at the departments of secondary education in The Kazım Karabekir
Education Faculty, Atatürk University. Candidate teachers from the departments of History,
Geography, Mathematics and Chemistry studying 1st-5th grade have been chosen. “Teacher
Leadership Styles Scale” has been used as data gathering tool. The gathered data has been
analyzed with SPSS packaged software. Results of analysis have been presented as findings.
Keywords: Teacher Leadership Styles, Secondary Education, Teacher Candidate

Introduction
Education provides manpower necessary for the development of a society. Leaders educated in education
institutions leads the society. Most of the researches which was done was about leadership qualifications of
schoolmasters (Akgün, 2001; Şahin, 2003; Kılıç, 2006), but there has been researches on leadership qualifications of
teachers, though rare (Muijs &amp; Harris, 2006; Frost &amp; Harris, 2003). However, it seems that it is impossible to grow
leaders without leading teacher in classroom. Therefore, it is important to research leadership qualifications of
teachers for the development of societies.
Leadership may be defined as guiding group actions in order to achieve a goal and effecting members of the
group (Şimşek &amp; Fidan, 2005, 41); having the ability to gather a group of people for the same purpose (Zel, 2006,
110); being capable of effecting others for certain objectives and stimulating them to take action (Şişman, 2004, 3).
The common point of these definitions is that leadership has power to effect (Çelik, 2007, 1). When all of these taken
into consideration, leadership in education and training is a qualification necessary not only for schoolmasters but
also for teachers who guide the students and shape their behaviors.
Various leadership theories have been formed about leadership. It is possible to separate leadership theories
into 3 main titles. These are qualifications theory, behavioral theory and situational theory (Şişman, 2004, 5). In
behavioral theories what the leader does and how he behaves others is important. In addition, according to behavioral
approaches it is possible to educate people to be a leader (Çelik, 2007, 11; Celep, 2004, 11, Erçetin; 200, 31; Özden,
2005, 90).
In this study, a scale which has been developed based on the approach which uses X and Y theory of
McGregor as a base, being one of behavioral leadership theories has been used. According to X and Y theory of
McGregor, thoughts of leaders about human behaviors can be separated into two opposite approaches (Deniz and
Hasançebioğlu, 2003, 57).
According to X theory defining classical management theory;
1. People do not like working and try to find ways to escape work.
2. People prefer to be directed and escape from responsibility.
3. People are selfish and prefer their own objectives to organizations objectives.
4. People do not like innovation and change and try to resist against these facts.
5. People’s creativity is limited in solving organizational problems.
6. Monetary award is needed for people to take action.

21

�According to Y theory in which individual and organizational objectives are combined,
1. It is as normal for people to make physical and spiritual effort as playing or resting.
2. If people become engaged in the organization and like their work and colloquies, they try to be more
useful to the organization.
3. Ordinary people not only accept responsibility but also begin looking for it.
4. Ability and creativity is shared equally among people.
5. Specializing makes it possible to make use of abilities and skills, but it is limited to only some of them.
Thus, McGregor tries to explain the importance of social relations in organizations (Eren, 2004, 26).
It is thought that this study is important because knowing teacher leadership styles of candidate teachers will
have affect on profiles of students who are going to be leaders in the future.

Method
Sample of the study is composed of candidate teachers studying at the departments of secondary education
in The Kazım Karabekir Education Faculty, Atatürk University. Candidate teachers from the departments of History,
Geography, Mathematics and Chemistry studying 1st-5th grade have been chosen.
In this study, “Teacher Leadership Styles Scale” developed by Deniz and Hasançebioğlu (2003) has been
used. In the end of the analysis done by these researches, internal consistency coefficient was found out 0,88.
According to grade averages of the scale leadership styles of teachers have been found out that the teachers between
17-64 is autocratic/oppressive, the ones between 65-76 is semi-democratic and the ones between 77-85
democratic/participant.

Findings
Some findings about teacher leadership styles of candidate teachers are given as tables:
Gender
Male
Female

n

X

sd

t

p

164
147

66.59
67.24

7.092
6.367

-0.851

0.395

Table 1. Arithmetic Mean, Standard Deviation and t Value on Teacher Leadership Styles According to Gender
Variable of Candidate Teachers
There is not a significant difference between thoughts of candidate teachers about teacher leadership styles
according to gender variable (0.05). This finding shows that gender variable does not affect teacher leadership styles
of candidate teachers.

Grade

n

X

sd

t

p

Grade 1
Grade 5

173
138

66.68
67.18

6.966
6.498

-0.654

0.514

Table 2. Arithmetic Mean, Standard Deviation and t Value on Teacher Leadership Styles According to Grades
Variable of Candidate Teachers
There is not a significant difference between thoughts of candidate teachers about teacher leadership styles
according to grades variable (0.05). This finding shows that grades variable does not affect teacher leadership styles
of candidate teachers.

22

�Departments

n

X

sd

Mathematics
Geography
History
Chemistry
Total

94
84
73
60
311

66.21
69.68
66.75
64.27
66.90

6.380
5.016
6.938
7.919
6.756

Table 3. Arithmetic Mean and Standard Deviation on Teacher Leadership Styles According to the Department
Variable of Candidate Teachers
When the table analyzed, it is possible to say that because the grade average that candidate teachers at the
Departments of Mathematics, Geography and History got from the scale is 65-76, their teacher leadership style is
semi-democratic, and because the grade average of candidate teacher at the Department of Chemistry is 17-64, their
teacher leadership style is autocratic/oppressive.
Variance Analysis
Between Groups
Within Groups
Total

Sum of Squares
1110.549
13039.361
14149.910

df
3
307
310

Mean Square
370.183
42.473

F

p

8.716

0.000

Table 4. Variance Analysis on Teacher Leadership Styles of Candidate Teachers according to the Department
Variable
When the Table 4 is analyzed, it is seen that there is a significant difference of 0.05 between thoughts of
candidate teacher on teacher leadership styles according to the department variable. Dunnett’s T3 Test has been done
in order to find out between which groups there is a difference. Difference has been found out in favor of Geography
among the departments of Geography, Mathematics, History and Chemistry.

High School

n

X

sd

t

p

Teacher High School
Others

44
267

66.43
66.98

5.724
6.918

-0.496

0.620

Table 5. Arithmetic Mean, Standard Deviation and t Value on Teacher Leadership Styles According to the High
School Variable of Candidate Teachers
There is not a significant difference between thoughts of candidate teachers about teacher leadership styles
according to high school variable (0.05). This finding shows that high school variable does not affect teacher
leadership styles of candidate teachers.

Conclusions
1. There is a significant difference of 0.05 between thoughts of teacher candidates about teacher leadership
styles according to gender, grade and high school variables.
2. It is possible to say that because the grade average that candidate teachers at the Departments of
Mathematics, Geography and History got from the scale is 65-76, their teacher leadership style is semi-democratic,

23

�and because the grade average of candidate teacher at the Department of Chemistry is 17-64, their teacher leadership
style is autocratic/oppressive.
3. It is seen that there is a significant difference of 0.05 between thoughts of candidate teacher on teacher
leadership styles according to the department variable. Difference has been found out in favor of Geography among
the departments of Geography, Mathematics, History, and Chemistry.

Suggestions
1. There seem to be significant differences in favor of the Geography department within the pre-service
teachers' departments. Further qualitative studies that focus on the reasons of these differences can be conducted.
2. This study can be broadened to include candidate teachers from different universities.
References
Akgün, N. (2001). İlköğretim Okulu Müdürlerinin Öğretimsel Liderliği, Yayınlanmamış Doktora Tezi, Abant İzzet Baysal
Üniversitesi, Bolu.
Celep, C. (2004). Dönüşümsel Liderlik, Anı Yayıncılık, Ankara.
Çelik, V. (2007). Eğitimsel Liderlik, Pegema Yayıncılık, Ankara, 4. Baskı.
Deniz, L. &amp; Hasançebioğlu, T. (2003) Öğretmen Liderlik Stillerini Belirlemeye Yönelik Bir Ölçek Çalışması, Marmara
Üniversitesi Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi, Sayı 17, Sayfa: 55-62
Erçetin, Ş. Ş. (2000). Lider Sarmalında Vizyon, Nobel Yayın Dağıtım, Ankara, Genişletilmiş 2. Baskı.
Eren, E. (2004). Örgütsel Davranış ve Yönetim Psikolojisi, Beta Basım Yayım, İstanbul, 8. Bası.
Frost, D. &amp; Harris, A. (2003). Teacher Leadership: Towards a Research Agenda, Cambridge Journal of Education, Vol. 33, No.
3.
Kılıç, G. (2006). Eğitim Kurumlarında Liderlik Tarzları ve Örgüt Kültürünün Performans Üzerindeki Etkisi, Yayınlanmamış
Yüksek Lisans Tezi, Erciyes Üniversitesi, Kayseri.
Muijs, D. &amp; Harris, A. (2006). Teacher Led School Improvement: Teacher Leadership in The UK, Teaching and Teacher
Education, 22, 961–972.
Özden, Y. (2005). Eğitimde Yeni Değerler, Pegema Yayıncılık, Ankara, 6. Baskı.
Şahin, S. (2003). Okul Müdürlerinin Liderlik Stilleri ile Okul Kültürü Arasındaki İlişkiler, Yayınlanmamış Doktora Tezi, Dokuz
Eylül Üniversitesi, İzmir.
Şimşek, N. &amp; Fidan, M. (2005) Kurum Kültürü ve Liderlik, Tablet Kitabevi, Konya.
Şişman, M. (2004). Öğretim Liderliği, Pegema Yayıncılık, Ankara, 2. Baskı.
Zel, U. (2006). Kişilik ve Liderlik, Nobel Yayın Dağıtım, Ankara, 2. Baskı.

24

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                <text>The aim of this research is to determine teacher leadership styles of teacher candidates  studying at the departments of secondary education. Sample of the study is composed of  candidate teachers studying at the departments of secondary education in The Kazım Karabekir  Education Faculty, Atatürk University. Candidate teachers from the departments of History,  Geography, Mathematics and Chemistry studying 1st-5th grade have been chosen. “Teacher  Leadership Styles Scale” has been used as data gathering tool. The gathered data has been  analyzed with SPSS packaged software. Results of analysis have been presented as findings.</text>
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                <text>Dikmen, Nazım</text>
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                <text>This study is conducted in order to investigate the generic awareness of reading strategy use of  students and state the types of reading strategies used by them while performing a reading task. The  students responded to a 45-item scale that included three categories of reading strategies; before, during and  after. The findings obtained in this study indicated that the overall usage-level of the designated reading  strategies were at a medium frequency-level; therefore, it revealed that the students use the designated  strategies but not necessarily enough. On the other hand, the overall frequency of before-reading strategy  use was found to be highest among three categories, so it indicated that the students are generally conscious  of their comprehension process and they are planned before performing a reading task.  Keywords: Reading, Reading Comprehension, Awareness of Reading Strategy</text>
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                <text>Word formation is a process of creating new words with some processes such as derivation, abbreviation, acronym, compounding, generified words, borrowing, and blending. In our always changing world it becomes a need for the languages to create new words.  This paper aims to start with the language itself. Some definitions of language are given, and the fundamental unit of language, word, is defined, as an answer to the question; “What is a word?”  Another part deals with “Neologisms: Creating new words” After this part, six processes of word formation; derivation, abbreviation, acronym, compounding, generified words and borrowing are explained and related examples from both English and Turkish are given by which it is aimed to propose a general approach to word formation processes in English and Turkish.</text>
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                    <text>A Suggestion for Forestry: Assigning Idle Public Lands to Private Sector by Projecting
and Provisioning
Mustafa Durman,Murat Fatih Köymen
F.E.&amp;A.S. of DPÜ
E –mails: durman007@hotmail.com,siffah@gmail.com
Abstract
Land is a widespread natural resource and commonly used by humans. It is commonly used
distributed for agriculture, forestry, urbanization, resting, transportation and settling. Land is
not a renewable resource and is under the threat of erosion, polluting and salinization because
of agricultural irrigations. In consequence of increasing population and industrialization
wetlands, agricultural lands and forests are used for settlement and industrial areas.
Maximizing utility of resources is an essential issue for environmental economics. Thus
maximizing utility of land uses is an essential issue for land using strategies. When viewed
from this aspect it is obvious that land areas of a country are shared by public (state) and
private sectors. In public areas forest areas have an important share.There are enormous
amount of areas which are owned by state but they are waiting idle. In this paper after
analyzing present administrations we will make a suggestion. We will focus on assigning
these idle areas to private sector for forestry use. It is hoped that this assignment will
contribute the problems of unemployment, income, cleaning the atmosphere, preventing
erosion and input for industrial production. Despite the subsidies, private foresting is
inadequate. We will suggest publicizing investors by projecting the proper lands, subsidizing
and presenting economic potentials of these areas.
1.INTRODUCTION
Forests create distinctive climates on large land masses. Organisms forming forests are trees
lives on significant altitudes, soil and density, bushes, alga, fern, mushrooms, underground
and surface microorganisms, insects and animals (Ayanoğlu 1999). The 6831 numbered
forest law defines as “Trees growing naturally or by planting and woods are ranked as forests
with their land areas. But…” Then the law defines exceptions.
Forests occupy an important place in human life. They are one of the most important
renewable raw materials and energy resources. Forests clean the weather and protect the
moisture balance of atmosphere. Because they oxygenate for carbon dioxide balance forests
398

�are essential. Forests decrease the negative effects of drought, frost, high temperature,
spankings and protect earth against erosion. They help protecting plant and animal diversity.
Forests as a natural resource which are subject to distribution between generations should be
protected for future generations while providing today’s human needs (Aras, Çalışkan 2004).
Forests are natural resources which affect water and earth regimes, economy, the need of
recreation, climate and health positively (Korkmaz 2010).
While reviewing contributions of forests economically it is possible to divide these like
pecuniary and non pecuniary contributions. Timber based first order forest products, non
timber based second order products, decreasing effect on difference between regional
development levels, contribution to other sectors and positive effect on balance of payments
can be examples to their pecuniary contributions. On the other hand their help on climate,
water and soil can be examples to their non pecuniary contributions (Ormanlarımızın
Faydaları OGM).
2.Material and Method
Literature review on forestry and private forestry is made and works on this field are tried to
be presented. Share of private forests on world and Turkey will be revealed by percentage.
Subsidies for private forestry in Turkey, the expectations of private afforestators, sum of
private afforestation in last years will be revealed and will be tried to analyze the disruptions.
Then with a review, a suggestion will be enhanced.
2.1.Findings
Forests are not homogenous on natural diversity and property basis. Forests grow without
human effort is called natural forests and forests planted by humans are called artificial
forests. They can be described in three ways. Forests which help the protection of water, earth
and climate are defined as conservation forests. These cannot be operated. Forests which help
tourism, help recreation need, embody natural beauties and serves science and art are defined
as national parks. Operating these parks is tied to strict rules. Forests which are used for
harvesting forest products are defined as operation forests (Korkmaz 2010).
All world attach importance to forests and there are researches for utilizing from them more
efficiently. The idea ‘private forestry increases efficiency of producing, management and
protection’ spreads. Some countries extend private forestry with respect to this idea. The
proportions of private forests in the continental basis are: Africa 2%, Asia 5%, South
America 17%, Oceania 24%, North and Central America 30% (Yeşildağ 2009). “Percentage
of forests in total land area for countries: Germany 31.5%, Austria 47%, Spain 51.3%,
Sweden 68.1%, Finland 77.8%, and the world average is 40.9%” (Korkmaz 2010). Countries
appreciate both forests and private forestry. Thanks to this appreciation and subsidies
399

�percentage of private and public corporationforests in total forest areas in Germany 42%,
Spain 61%, Sweden 71%, Finland 71%. But in Turkey it is only about 1% (Korkmaz 2010).
According to Orman Genel Müdürlüğü (General Directorate of Forestry) the view of
afforestation efforts in world and Turkey are like this: 24% of world forests are private
forests. This percentage reaches to 61% in EU (VII. Five Year Development Plan). In Turkey
99.5% of forests are belong to state. The percentage of registered private forests is only
0.05% (URL2).
Turkey’s location on world is very proper for afforestation. 75% of Anatolian lands were
forests ten thousands years ago but unfortunately today it is 26%. Sufficient productive
forests are only 14% of Anatolian area. A country can be counted as a rich forest country she
should have 33% forest of total lands. Therefore Turkey’s forests are not enough with this
statistics (Seval Aras, meb, 182). If we look at Turkey’s forests 27% of forests are marsh
forests (19% non yielding, 8% yielding), 73% woods (31% non yielding, 42 yielding)
(Ormanlarımızın Faydaları, OGM).
Ağaçlandırma Genel Müdürlüğü (General Directory of Forestation) defines private
forestation like this: “Properties protected and utilized by owner; non yielding forest lands,
idle forest lands, treasury lands, properties of individuals and corporations; which are
projected and approved by Ministry of Environment and Forestry are “private forestation””
(URL2). Figures which can afforest are: Village Corporations, Municipalities, Public
Institutions and Corporations, Agricultural Development co-ops, Village Serving Units,
Chambers, Clubs, Foundations, Commercial Corporations and Individuals. There is no
difference between private forestation as an individual or corporation in Turkey.
Subsidies given to private forestation by General Directory of Forestry: In purpose of private
forestation grants given to village corporations and loans given to individuals or other
corporations. Groups can get grants or loans are;
-Land clearing (clearance of undesirable ground cover of area and plowing),
-Sowing and planting costs,
-Seedling (grafted or ungrafted) and seed costs,
-Barbed tape, fence, surrounding wall costs,
-3 year maintenance costs,
-Projecting costs,
-Pruning costs,
-Grafting costs,
Grants or loans are assigned by General Directory according to General Directory of
Forestation and Erosion Control’s constant prices with regard to projected work’s amount.
After project is done interim payments are given. Therefore projectors should sign an
400

�obligation or estate mortgage. For obligation there should be two respected and solidary
bailsmen and public notary approval. Bailsmen should be registered to Commercial or
Industrial Chambers or Craftsman’s Associations. (URL3). Loans given for trees like pine,
cedar and fir will be paid after the end of 30th year as only capital. Loans given for trees like
walnut, chestnut and pistachio will be paid after the end 15th year with an interest rate which
equals 1/7 of T.C. Ziraat Bank’s agricultural loan interest rate for small business stock
(URL3).
Despite these subsidies private forestators have some demands:
-To be informed by experts about buying seedlings, planting and maintaining,
-Faster bureaucratic transactions for subsidies,
-Increase in loan unit prices or increase in number of components
-After reaching a point of land area permission to build a wooden shelter for tools,
-Disengage village headmen and abolish the need of their permission,
-Grants or loans should be given by a unique institution,
-Permission to graft for olive groves,
-Permission to second order plants and their loaning (Özkurt, A., Yeşilkaynak, B)
The results of private forestation efforts in last 10 years in Turkey are given below.

Year

State
Forests Treasury
(decare)
(decare)

2002

17,110

4,851

29

21,990

2003

43,177

6,228

25

49,430

2004

77,683

6,344

2,213

86,240

2005

90,535

10,178

4,317

105,030

2006

69,611

37,241

3,168

110,020

2007

55,663

22,987

3,250

81,900

401

Areas Private
(decare)

Areas Total

(decare)

�2008

77,759

11,217

1,364

90,340

2009

71,858

18,337

5,155

95,350

2010

145,581

16,116

11,363

173,060

2011

70,785

7,909

6,966

85,660

Total

719,762

141,408

37,850

899,020

Table 1: The Results Of Private Forestation Efforts In Last 10 Years In Turkey
Source:URL3
Despite the subsidies private forestations are not even 100.000ha/year in last ten years.
There are 3,715,642 real estates registered to Turkish Treasury with an areas 211,151 km2.
This area is 25.92% of Turkey’s total land surface. Only 651,585 of these areas are allocated.
These areas are 13.39% of Turkey’s total land surface. Therefore Turkey’s lands’ 12.53% is
waiting idle or utilized illegally (URL4).
3. Review and Conclusion
Pecuniary and non pecuniary benefits of forests and forestation are indicated above. Plus
these benefits while a country has a serious problem of unemployment and low income
problem laying aside these areas idle doesn’t seem rational. If the present administrative
applications are not enough then disruptions and inabilities should be determined, problems
should be asked to investors. And then the precautions believed to solve the problem should
be taken. In this paper we found that despite all these subsidies, idle treasury and state owned
lands and the unemployment rate above 10% there is no enough private forestation. Cause of
this situation is not the scarce of labor, capital or natural resources. Most important reason
here is inadequacy of information flows. Lots of investors are unaware about this investment
option. We suggest that: Opportunities in this investment field should be announced clearly
and may be the most importantly this investment options should be projected properly and be
reported to individuals. This work is agriculture focused. And people who interest in
agriculture might give up because of the technical difficulties as projecting.

402

�REFERENCES
Aras,S., Çalışkan, V., Türkiye’nin Beşeri Ve Ekonomik Coğrafyası, Meb Basımevi, İstanbul,
2004
Ayanoğlu, S. Anayasa Hükümleri Karşısında Orman Mevzuatımız, Ormancılık Hukuku,
Türkiye Çevre Vakfı Yayını, Ankara 1999.
Korkmaz, Y., Özel Ormanlar ve Mülkiyet Açısından Değerlendirilmesi, Gazi Üniversitesi
Hukuk Fakültesi Dergisi, C.XIV, 2010
Orman
Genel
Müdürlüğü,
http://www.agm.gov.tr/AGM/AnaSayfa/faliyetler/ozelagaclandrma.aspx?sflang=tr

URL2,

Orman
Genel
Müdürlüğü,
URL3,
http://www.agm.gov.tr/AGM/Files/faaliyetler/ozel_agaclandirma/sorularla_ozel_agaclandirm
a.pdf
Ormanlarımızın
Faydaları,
OGM,
http://web.ogm.gov.tr/Resimler/sanalkutuphane/ormanin_faydalari.pdf

URL1,

Özkurt, A.,Yeşilkaynak, B., Özel Ağaçlandırma Çalışmalarının Sosyal Ve Ekonomik Boyutu
- Mersin Örneği-, Iı. Ormancılıkta Sosyo-Ekonomik Sorunlar Kongresi, Isparta, 2009
URL3, http://www2.tbmm.gov.tr/d24/7/7-3270sgc.pdf
URL4, http://www.milliemlak.gov.tr/istatistiksel-bilgiler Tarih:07.03.1
Yeşildağ, G., Dünyada Bazı Ülkelerde Özel Orman Mülkiyetinin Gelişimi, Ormancılıkta
Sosyo-Ekonomik Sorunlar Kongresi, Isparta, 2009

403

�</text>
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            <elementTextContainer>
              <elementText elementTextId="18436">
                <text>Land is a widespread natural resource and commonly used by humans. It is commonly used  distributed for agriculture, forestry, urbanization, resting, transportation and settling. Land is  not a renewable resource and is under the threat of erosion, polluting and salinization because  of agricultural irrigations. In consequence of increasing population and industrialization  wetlands, agricultural lands and forests are used for settlement and industrial areas.  Maximizing utility of resources is an essential issue for environmental economics. Thus  maximizing utility of land uses is an essential issue for land using strategies. When viewed  from this aspect it is obvious that land areas of a country are shared by public (state) and  private sectors. In public areas forest areas have an important share.There are enormous  amount of areas which are owned by state but they are waiting idle. In this paper after  analyzing present administrations we will make a suggestion. We will focus on assigning  these idle areas to private sector for forestry use. It is hoped that this assignment will  contribute the problems of unemployment, income, cleaning the atmosphere, preventing  erosion and input for industrial production. Despite the subsidies, private foresting is  inadequate. We will suggest publicizing investors by projecting the proper lands, subsidizing  and presenting economic potentials of these areas.</text>
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                    <text>A Survey Of Network Modelıng And Sımulatıon Tools: Devs Comparıson
Bülent Çobanoğlu
Sakarya University Electronics and Computer Science Department
54187 Sakarya, TURKEY
bcobanoglu@sakarya.edu.tr
Ahmet Zengin
Sakarya University Electronics and Computer Science Department
54187 Sakarya, TURKEY
azengin@sakarya.edu.tr
Sinan Tüncel
Sakarya University Electronics and Computer Science Department
54187 Sakarya, TURKEY
stuncel@sakarya.edu.tr
Hüseyin Ekiz
Sakarya University Electronics and Computer Science Department
54187 Sakarya, TURKEY
ekiz@sakarya.edu.tr

Abstract: Speed, hardware, cost, diversity of user demands and interoperability requirements
of today’s network systems cause several difficulties in network research. In design phase,
due to time and cost advantage of modeling and simulation science it is widely used by
researchers working on network systems. In order to expedite and simplify the design process,
to design and develop network simulation tools is an active research area. Today, many
modeling and simulation tools are available in computer networks research and education. In
this study, to assist researchers working on computer networks in the selection of modeling
and simulation tools, several best-known simulators are selected and compared. Especially to
examine the advantages and disadvantages of network simulators used for training purposes,
an OSPF protocol implementation was devised to discuss strengths and weaknesses of
simulators. At the same time, executing a general purpose DEVS based OSPF model in
DEVS-Suite simulator; the advantages of the method are summarized.

1. Introduction
The primary aim of computer networks is providing connection among users to access resources. Currently,
computer networks has become a very complex structure including variety of applications such as operating
systems, communication protocols, link technologies, traffic flow, routing algorithms and protocols.
Network design process is a difficult task in case of meeting user requirements, cost and capacity. To simplify
the design process, researchers and manufacturers maintain different network modeling and simulation (M &amp; S)
tools have already developed and still under development. These network modeling and simulation tools (M &amp;
S) can be used for practical purposes and they can be also used for educational and research purposes.
Modeling and simulation (M &amp; S) methodologies play an important role in computer network research and
design. Real networks can be investigated by modeling the new networking technologies that efficient
development and testing, various network conditions and scenarios under the communication protocol
development and evaluation [7] [8] [12]. To investigate interactions with other protocols and to make
comparisons with other approaches, to study the behavior and properties of the protocols are very important.
There are a wide range of network modeling and simulation tools used today. In general, these tools can be
divided into four classes: analytics, simulation, network topology discovery and production tools. Analytical
tools help the design of a network model calculation (eg, reliability, usability, etc.). Analytical model, among
418

�other methods have the advantage of simplicity and often simplified assumptions. If network discovery tools
available to a system, real network components and their graphic or textual (text) can be obtained. Simulation
tools are used to simulate the dynamic behavior a network components such as packet switch, link errors, TCP
protocol, etc [1, 12].
Today, number of network simulators and simulation tools are found to design and analysis of networks (see
Figure 1).

Tools

Analytical

Topology
Generation

Simulation

Educational
tools

Commercial
tools

Network
Discovery

Specialized
tools

Figure 1. Classiﬁcation of the network design and simulation tools.

2. Network Sımulatıon Tools
Network simulators were developed to help researchers in network design and development processes. The large
number of network simulators for training purposes and commercial purposes are available. Their features and
capabilities will be examined in this. In this study we compared OPNET, ns-22 and OMNET with specialpurpose simulator DEVS Suite.
Most known simulators for training are ns-2, pdns, Netsim, GTNetS, WIPSIM, OMNET++ and commercial
simulators are OPNET, QualNet, COMNET, REAL, SSFNet and Ted, special-purpose simulators are Glomosim,
QUIPS-II, the ATM-TN, and Devs Suite.
In this study, commonly used network simulation software and tools are given in Table 1 and a survey research
conducted among the results obtained [1, 3, 9, 20].
2.1 Educational tools
2.1.1 OMNET++

Figure 2. OMNET screenshot of the simple network consisting of router nodes and duplex links

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�OMNET + + (Objective Modular Network Testbed in C + +), object-oriented (object-oriented) and this software
is a modular discrete event network simulator itemized below can be used in the simulation of the process.
- Communication modeling of traffic
- Modeling of communication protocols
- Multi-processor and other distributed hardware systems, modeling
- Hardware structure review
- Evaluation of performance analysis of complex systems
- Discrete event approach is suitable for modeling of other systems.
OMNeT + + software models a network as composed of interconnected modules. The top-level module is
network module. The depth last module is connected to the user so that models of complex systems can be
realized easily. Modules can be divided into two categories: simple and compound. A simple module is to
describe the behavior of a model associated with C + + file. This file is written by the user using OMNET + +
simulation class library. Compounds from a combination of the modules consists of the simple modules and are
not directly associated with a C + + file. Modules communicate among themselves and with the help of the
messages of the simulation time, a module receives a message from the module itself or another is progressing.
The structure of modules and interfaces and the simulation parameters can be organized using Network
Definition Language (Network Description Languages - NED) and are created as a startup file (. Ini) which is
easily adjustable. [22], [6]
2.1.2 The network simulator ns-2
The network simulator ns-2 is developed based on REAL network simulator project. It is designed for research
for local and wide-area network simulations and network education. Ns-2 is an object-oriented, open source,
discrete event network simulator, which is written in C++ and uses OTcl as a command and configuration
interface. It is based on a seven-layer network synthesis and designed as packet-based, which means that all
packet interactions are in focus during simulation. It implements network transmission protocols such as TCP
and UPD, traffic source behavior such as FTP, Telnet, Web, CBR and VBR, router queue management
mechanism such as DropTail, RED and CBQ, routing algorithms such as Dijkstra , and other algorithms.
Network simulator 2 provides an important support for modeling and simulation of TCP, routing, and multicast
protocols over wired and wireless networks and is primarily useful for simulating local and wide area networks.
Although ns-2 is fairly easy to use once you get to know the simulator, it is quite difficult for a first-time user,
because there are few user-friendly manuals and it is difficult to install. Various extensions of parallel and
distributed variations are developed to achieve execution scalability (e.g., pdns).
Many researches including design, test and comparison of new network algorithms, protocols, and technologies
are done with ns-2. Some deficiencies of ns-2 include limited support for visualization and complex simulator
design. Since ns-2 is dependent on different technologies, it can be very difficult to make changes to the existing
models. Furthermore, from the modeling methodology vantage point, ns-2 can be considered a domain-specific
simulator which is intimately tied to the computer network concepts.
2.2 Commercial tools
2.2.1 OPNET (OPtimised Network Engineering Tool)
OPNET, which was developed in 1987 is the first commercial network simulation tool. Network can be
established very easily, with a graphical interface, user-friendly, widely used in industry, a powerful discrete
event network simulator.

Figure. 3. NAM screenshot of the simple network consisting of router nodes and duplex links
OPNET software of the system behavior and the analysis of discrete event simulation can be performed. OPNET
simulation program has three levels: network, node and process. These levels can be developed using the visual
420

�editor. The programs also edit the parameters of the simulation and data analysis tools to create the graph
contains.
Network structure, node and process models are included in a project file is created in the scenarios. Simulation
tool will be collected with the help of the design is complete, statistics are determined and work. Even with the
program analysis tool obtained data can be displayed in the desired chart type. Of data from more than one
scenario is also possible to compare the same show on the graph [1,10,11,13].
Node model and process model, with the help of an editor for creating user-defined nodes and protocols can be
created. Profile descriptions and application definitions can be changed with the help of the editors.

Figure 4. OPNET screenshot of the simple network consisting of router nodes and duplex links
2.3 Specialized tools
2.3.1 DEVS Suite:
To use modeling and simulation as problem solving technique, there is need for a modeling formalism. As a
formal system definition, formalism renders possible to create virtual worlds in our limited computation
frameworks and tools. Limitations of the computation environments demand new high performance modeling
formalisms and approaches. Large scale network systems exhibit very high level complex, dynamic and parallel
characteristics. Therefore, complex and distributed behaviors of the large scale systems make modeling effort of
the networks difficult. However, discrete event modeling formalisms bringing abstraction and simplification
mechanisms to modeling and simulation discipline facilitates modeling and simulation study systems such as
computer networks demonstrating complex, dynamic, distributed and unpredicted behavior. The dynamics of
network systems can be described using discrete event modeling. This is because the dynamics of network
systems can be characterized in terms of components that can process and generate events. Among discrete event
modeling approaches, the Discrete Event Systems Specification (DEVS) is well suited for formally describing
concurrent processing and the event-driven nature of arbitrary configuration of nodes and links forming network
systems. This modeling approach supports hierarchical modular model construction, distributed execution, and
therefore characterizing complex, large-scale systems with atomic and coupled models. Atomic models represent
the structure and behavior of individual components via inputs (X), outputs (Y), states (S), and functions.
Parallel DEVS, which extends the classical DEVS, is capable of processing multiple input events and concurrent
occurrences of internal and external transition functions. Parallel DEVS atomic model supports local control on
the handling of simultaneous internal and external events.

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�Figure 5. DEVS Suite OSPF Simulator screenshot of the simple network consisting of router nodes and
duplex links
DEVS formalism can be executed using simulation engines such as DEVS-Suite and DEVSJAVA. DEVS-Suite
and DEVSJAVA are object oriented realization of Parallel DEVS and its associated simulators. They support
describing complex structures and behaviors of network systems using object-oriented modeling techniques and
advanced features of the Java programming language. The formal foundation of DEVS, its efficient execution,
and the availability of sequential, parallel, or distributed simulation engines using alternative computational
environments such as CORBA, HLA, and Web-services are important considerations. Furthermore, the DEVS
models are extended with other kinds of models such as fuzzy logic.

3. Comparison Of The Simulation Tools
As shown in Table 1, network simulators characteristics and their capabilities can be examined under the
following aspects:
Purpose: commercial, educational and private purposes to indicate the intended use.
License: simulator open source (free) if you indicate whether a commercial product.
Ease of Use: Graphical interface to support the flexibility of existing models and interfaces to enhance the new
models can be added
User Interface: Graphical user interface (GUI) to have
Parallel Operation: Parallel simulator can run in a distributed environment
Scalability: The maximum number of nodes that can be used in the simulation (Medium: thousands Good: Ten
thousand, Very Good: hundreds of thousands)
Programming language: programming language that specifies the simulator is written
Documentation: Network simulator, presented in conjunction with / accessible documentation indicates
Rate: indicates the operating speed of the simulation.
Platform: simulator operating environment (operating system) indicates.
Level Simulation (Abstraction): Simulation indicates the lowest level of abstraction. This level of package, the
message transfer or may nodal.
Properties

OPNET

QualNet

NS-2

SSFNet

OMNET

DEVS Suite

Purpose

Commercial

Commercial

Educational
, Resource

Commercial,
Resource

Resource

Specialized

License

Commercial

Commercial

Free

Free

Free

Free

Ease of Use

Very Good

Very Good

Bad

Good

Good

Good

Flexibility

Good

Good

Medium

Good

Very Good

Very Good

User Interface

Good GUI

Good GUI

Poor GUI

Good GUI

Good GUI

Good GUI

422

�Parallelism

Yes

Yes

No

Yes

Yes

Yes

Scalability

Medium

Very Good

Medium

Very Good

Good

Good

Programming
Language
Documentation

C++

C++

Java, C++

C++

Java

Very Good

Good

C++
OTcl
Good

Good

Good

Good

Speed

Bad

Medium

Medium

Good

Good

Good

Platform

X window

Unix

Linux, Unix,
Windows

Windows

Windows,
Linux

Simulation Level
(Abstraction)

Packet Level

Linux,
Unix,
Windows
Packet
Level

Packet
Level

IP Packet

Packet
level

Packet
Level

and

Table 1. Simulators comparison

4. Conclusions
To choose between the existing hundreds network simulators is very difficult. In this study, modeling and
simulation tools that used for studying on the network are examined, especially in network simulators used for
training purposes as the advantages and disadvantages are analyzed. DEVS is also taken into consideration
which is providing useful features for network community. In addition, this study can help to most researchers in
the selection of appropriate network modeling and simulation tool.

References
[1] M.A. Rahman et al. / Simulation Modelling Practice and Theory 17 (2009) 1011–1031
[2]http://en.wikipedia.org/wiki/DEVS
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�[13] Ming Zhang , “Toward A Flexible And Reconfıgurable Dıstrıbuted Sımulatıon: A New Approach To Dıstrıbuted Devs”
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PhD Dissertation, University of Arizona, 2007
[15] X. Liu and A. A. Chien, “Realistic Large-Scale Online Network Simulation”,
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                <text>Speed, hardware, cost, diversity of user demands and interoperability requirements  of today’s network systems cause several difficulties in network research. In design phase,  due to time and cost advantage of modeling and simulation science it is widely used by  researchers working on network systems. In order to expedite and simplify the design process,  to design and develop network simulation tools is an active research area. Today, many  modeling and simulation tools are available in computer networks research and education. In  this study, to assist researchers working on computer networks in the selection of modeling  and simulation tools, several best-known simulators are selected and compared. Especially to  examine the advantages and disadvantages of network simulators used for training purposes,  an OSPF protocol implementation was devised to discuss strengths and weaknesses of  simulators. At the same time, executing a general purpose DEVS based OSPF model in  DEVS-Suite simulator; the advantages of the method are summarized.</text>
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