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Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
The Study of Relationship between Learning Styles and Time 
Management among Graduate Students 
Azam Hamidi Nasrabad(Corresponding author) 
M.A Student of Curriculum, Department of Education, Shahid Bahonar University of Kerman. 
Hamidi_h1h@yahoo.com 
Asghar Soltani (corresponding author) 
Assistant professor of curriculum, Department of Education, Shahid Bahonar University of Kerman. 
a.soltani.edu@uk.ac.ir 
Ashraf Rashidi Kikanlu 
Lecturer, Department of Education, Shahid Bahonar University of Kerman 
Abstract 
This article is aimed at investigating the relationship between learning styles and time management among 
graduate students in Bahonar University of Kerman. This research is conducted through a descriptive and 
correlational method. The statistical population consists of all the graduate students studying at Bahonar 
University during the second semester of 2013-2014 in Kerman; among whom 110 were selected using cluster 
sampling procedure. The instruments used in this study were the Kolb's learning style questionnaire (converging, 
diverging, assimilating, adaptive) and Britton & Tesser time management questionnaire (long-term and short-term 
planning and time attitudes) whose reliability and validity are then confirmed. In order to analyze the data, 
multivariate variance analysis and Levin test were used. The results showed that there is no significant 
relationship between time management and learning styles of students. In addition, no significant relationship 
between their learning style and time management in terms of demographic variables (their disciplines of study, 
age and gender) was found. The extent of time management was in better condition among students of 
mathematics than students of industries. 
Keywords: Learning style, Time management, Higher Education, Student. 
1. Introduction 
The progress and development of every country are dependent upon appropriate and efficient education. Having 
an education consistent with individual differences and guidance of students will ensure such a claim. The idea 
that individual differences in learning are only derived from their different intelligence and ability was accepted 
for a long time but it was changed later. Nowadays, it is clear that individual differences in learning depend to a 
little extent on their intelligence and ability, therefore other factors such as personality characteristics, 
assignments difficulty and different learning styles, and others are involved too(Rezaie. K, et al, 2009:45). 
So that education, which is the main purpose of universities and of both formal and informal 
educational systems, be implemented effectively; the personal, environmental, organizational and even universal 
effective factors should be recognized in the process of teaching and learning and considered during planning, 
design and implementation of training. 
It is clear that individual differences and its importance in teaching people is considerable among these 
factors. One of these factors is learning style and paying attention to time called time management that should be 
considered important by planners, educators and learners. Learning style is a method of acquiring, retaining and 
recalling information by people ( Fedler & Henriques, 1995). And also, it is a kind of learning strategy that can 
be regarded as a tendency to use specific learning strategies in some situations or learning environments. 
Learning styles has been regarded as preferences and tendencies in some studies and others have related them to 
the personal strategies of information processing. 
As Keefe quoted, learning styles are generally regarded as certain cognitive, emotional and 
psychological behaviors that serve as relatively stable indicators (of how learners perceive, interact with and 
respond to the learning environment (David Tawei KU, 2011). 
Time management, as well as awareness to science, technology, the art in optimal use of time, 
knowledge acquisition and skill in this area, conducting effective and on-time affairs should be considered by 
planners, instructors and learners ( Pahlavan, Shariati Niyasar, 2011:36). 
2. Review of Literature 
Although no case has been observed in Iran on simultaneous investigation of two variables in research which are, 
numerous studies have been conducted on one each separate variable in Iran and abroad which are mentioned 
below: 
74
Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
Hossein Lorgani (1998), in a research titled "The comparison of learning styles among male and female 
undergraduate and graduate students in three humanities, medical and technical-engineering disciplines" 
concluded that most humanities students had adaptive learning style, medical students had assimilating learning 
style and technical-engineering students had diverging learning style. Undergraduate students in humanities 
discipline had more adaptive learning style and graduate students in humanities discipline had more converging 
learning style. 
Yazdi (2009) in a study titled" Investigation and comparison of learning methods and styles among 
students of different colleges in Al-Zahra university" concluded that students of the art faculty use the concrete 
experience method and diverging-adaptive styles; students of the technical college use the reflective observation, 
abstract conceptualization and assimilating style; the students from the faculty of psychology use the methods of 
active experimentation, abstract conceptualization and converging style and also the students from the faculty of 
basic sciences use the method of abstract conceptualization and converging style. 
Rezai(2010), in a study titled "The relationship between Kolb's learning methods and Honey & 
Momford learning styles with age and academic performance of the students" concluded that there is a positive 
and significant relationship between age, abstract conceptualization and active experimentation but it has no 
relationship with concrete experience and reflective observation. 
Gheibi(2010), in a study titled "The relationship between learning styles and self-efficacy among 
undergraduate students of academic departments( human sciences, technical-engineering and basic sciences) in 
the Shahid Beheshti University" concluded that there is a significant relationship between learning styles and 
academic departments; and between self-efficacy and gender too but there is no significant relationship between 
learning style and gender. 
Ruin (2004), in a study titled "Investigation of the relationship between cognitive styles (learning 
methods with the personality factors of undergraduate students in Tabriz University)" concluded that there is a 
difference between learning methods according to the gender and academic departments. 
Ravari & Alhani et al (2008), in a study titled "How to manage study time among medical science 
students of Kerman University in 1385" concluded that there was no significant difference between field of study 
and routine study hours. ANOVA test didn't show any significant difference between different disciplines in 
terms of time management; and medical students in comparison with the other disciplines managed their study 
time further and more constantly and no relationship between different fields of study and how to manage time 
was observed. 
Jahanseir & Salehzade et al (2007), in a study titled "The effect of time management on the academic 
achievement of the Islamic Azad University students in Maragheh" concluded that no significant difference 
between amount of time management among male and female students was observed in the study. 
Trueman & Hartly (1996), in a study titled "The comparison of old and new time management skills 
among male and female students" came to the conclusion that the female and older students had better 
performance in time management than the male and younger students. 
75 
3. Research questions 
• Is there any relationship between the types of learning styles and time management among the students? 
• Is there any significant difference between the types of learning styles (adaptive, diverging, assimilating, 
and converging) with the components of time management (goal setting, prioritizing, planning, 
commitment and performance evaluation) in terms of age, gender and educational trend? 
4. Methodology 
This study is descriptive and from the type of bivariate (two variable) correlational and a questionnaire has been 
used to collect data. 
4.1. Statistical population and sample 
The statistical population of this study is the number of 3457 graduate students during 2013-2014 second 
semester at the Bahonar University in Kerman that the single stage cluster sampling method is used to limit 
statistical population. The sample group includes 110 people that were selected according to the following table: 
Faculty of literature and human sciences educational management trend 13 people 
Faculty of mathematics and computer pure mathematics trend 15 people 
Faculty of technical- engineering industries engineering trend 11 people 
Faculty of agricultural engineering plant protection engineering trend 17 people 
Faculty of art architecture trend 14 people 
Faculty of low jurisprudence and law principles trend 20 people 
Faculty of physical education kinematic behavior trend 20 people 
4.2. The data collection instruments 
Two following standardized questionnaires have been used as main instruments of data collection in this study.
Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
• Kolb's learning style questionnaire (1999): This questionnaire contains 12 questions that measures four 
methods of the people learning in two dimensions of concrete experience, abstract thinking, reflective 
observation and active experimentation. Therefore, four learning styles namely converging, diverging, 
adaptive and assimilating styles are created through the combination of these dimensions. Every 
sentence of this questionnaire consists of four part and each part represents a learning method includes 
concrete experience, reflective observation, abstract conceptualization and active experimentation. 
From the sum of A options in 12 sentences a score was obtained that reflect the concrete experience 
score, second option belongs to the reflective observation learning style, third option belongs to the 
abstract conceptualization learning style and fourth option belongs to the active experimentation 
learning style. These four scores represent four learning styles in total. Two scores obtained by the 
paired subtraction of these styles mean abstract conceptualization subtract from concrete experience and 
active experimentation subtract from reflective observation. These two scores are located on the 
coordinates axis and four quadrants are obtained from the intersection of these two axes i.e. vertical 
axis( concrete experience, abstract conceptualization) and horizontal axis (reflective observation, active 
experimentation) that one of the converging, diverging, adaptive and assimilating styles is placed in 
each quadrant. 
• Britton & Tesser time management questionnaire(1991): This questionnaire consists of 18 items and 
three factors: 1) long-term planning, 2) short-term planning, 3) preference for order (time attitudes) and 
it is a good means for measuring perceptual control of time, goals setting, scheduling and time attitudes. 
4.3. Validity and reliability of the measurement tools 
Kolb calculated the reliability coefficient of his questionnaire by Cronbach's alpha in 2006, it is for active 
experimentation / 78, Abstract conceptualization / 83, Reflective observation / 73 and Concrete experience / 
82(Gheibi, 2012:59). 
The reliability and time management questionnaire has been confirmed by Jahanseir(2007) and questionnaire 
validity has been obtained /85 through Cronbach's alpha too. 
5. Findings 
5.1. First question 
There is a significant relationship between time management and learning styles among graduate students. 
Table1: The results of Levin test in the studied groups 
variables F DF1 DF2 meaningful level 
long-term planning 1.283 3 98 .284 
short-term planning 1.298 3 98 .279 
time attitudes .441 3 98 .724 
total score of time management 1.346 3 98 .264 
As we can see in the table 1, Levin test is not meaningful. According to these results, the predicted assumption of 
variances homogeneity in above variables between two groups is confirmed and using parametric tests is 
permitted. 
Table 2: The results of multivariate variance analysis (MANOVA), the comparison of time management 
differentiating converging, diverging, assimilating and adaptive learning styles. 
test name amount f assumption df 
76 
error 
df 
Meaningful 
level 
Eta 
square 
group 
Pilayi effect .058 .645 9.000 294.000 .758 .058 
Wilkz lambda .943 .638 9.000 233.789 .764 .943 
Hottling effect .060 .631 9.000 284.000 .771 .060 
greatest error 
origin 
.040 1.296b 3.000 98.000 .280 .040 
The results of table 2 show that the meaningful levels of all tests are considered permissible the applicability of 
multivariate variance analysis (MANOVA). These results show that there is no significant difference in any of 
the dependent variables among the studied groups.
Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
Table 3: A summary of the results of multivariate variance analysis (MANOVA) test about the comparison of 
time management to differentiate converging, diverging, assimilating and adaptive learning styles. 
Index of variation sources sum of squares degrees of 
freedom(df) 
77 
Average of 
squares 
F Meaningful 
level 
group 
effect 
Long-term 
planning 
21.268 3 .576 .576 .632 
Short-term 
planning 
16.441 3 .171 .171 .915 
Time attitudes 29.462 3 1.242 1.242 .299 
Total score of 
143.619 3 .535 .535 .659 
time management 
error Long-term 
planning 
1206.104 98 12.307 
Short-term 
planning 
3133.726 98 31.977 
Time attitudes 775.057 98 7.909 
Total score of 
time management 
8763.871 98 89.427 
According to the data in Table 3, since the amount of degrees of freedom F (1, 98) is not significant on the 
investigated components at level of ./05α, therefore we can conclude that there is no significant relationship 
between time management and learning style in graduate students. 
5.2. Second question 
Is there any significant difference between the students learning style to differentiate their educational trend? 
Table (2) the indicators of D.Sommerz test for investigating second question 
variable learning style total 
Meaningful 
level 
amount 
of test 
convergent divergent assimilation Adaptation 
582/0 
048/0 
agriculture 3 8 1 5 17 
Educational 
trend 
industries 0 2 0 7 9 
Physical 1 8 5 6 20 
education 
architecture 1 5 0 3 9 
management 0 9 1 2 12 
mathematics 3 8 2 2 15 
jurisprudence 0 6 2 12 20 
total 8 46 11 37 102 
According to the results of table 2 since amount of test (048/0) calculated for two-range tests at level 05/0 not 
significant, it can be said that there is no significant difference between the students learning style to differentiate 
their educational trend. 
5.3. Third question 
Is there a significant difference between the students learning style and their age? 
Table (3) the indicators of D.Sommerz test for investigating third question 
variable Learning style Total Amount of 
test 
sig 
age 
to 20 years old convergent divergent assimilation Adaptation 
26-30 years 6 27 7 24 64 012/0 894/0 
30-31 years 2 18 2 13 35 
36 years and 
0 0 0 0 0 
older 
total 0 1 2 0 3 
8 46 11 37 102 
According to the results of table 3, since the amount of test (0/012) calculated for two-range tests at level 0/05 is 
not significant, it can be said that there is no significant difference between the students learning style to 
differentiate their age. 
5.4. Fourth question 
Is there any significant difference between the students learning style to differentiate their gender?
Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
Table (4) the indicators of D.Sommerz test for investigating fourth question 
78 
Variable Learning style 
total 
Amount 
of test 
Meaningful 
convergent divergent assimilation adaptation level 
gender male 2 17 3 9 31 083/0 346/0 
female 6 29 8 28 71 
total 8 46 11 37 102 
According to the results of table 4 since amount of test (0/012) calculated for two-range tests at level 0/05 is not 
significant, it can be said that there is no significant difference between the students learning style to differentiate 
their gender. 
5.5. Fifth question 
There is a significant difference between time management in terms of (by) age, gender and trend of graduate 
students. 
Table5. The results of Levin test among the studied groups 
Variables F DF1 DF2 Meaningful level 
Long-term planning .658 27 74 .888 
Short-term planning 1.484 27 74 .094 
Time attitudes .967 27 74 .522 
total score of time management 1.268 27 74 .210 
As we can see in the table 1, Levin test is not meaningful. According to these results, the predicted assumption of 
variances homogeneity in above variables between two groups confirmed and using parametric tests is permitted. 
Table 6: A summary of the results of multivariate variance analysis (MANOVA) test on the comparison of time 
management to differentiate converging, diverging, assimilating and adaptive learning styles. 
Index of variation sources Sum of 
squares 
df Average of 
squares 
F Meaningful 
level 
Gender 
effect 
Long-term planning 14.971 1 14.971 1.469 .229 
Short-term planning 95.129 1 95.129 3.181 .078 
Time attitudes .202 1 .202 .025 .875 
Total score of time 
29.535 1 29.535 .361 .549 
management 
age Long-term planning 16.032 2 8.016 .787 .458 
Short-term planning .539 2 .269 .009 .991 
Time attitudes 3.057 2 1.529 .188 .829 
Total 30.835 2 15.417 .188 .829 
trend 
Long-term planning 278.706 6 46.451 4.559 .000 
Short-term planning 243.905 6 40.651 1.359 .239 
Time attitudes 53.762 6 8.960 1.104 .366 
Total score of time 
1187.402 6 197.900 2.419 .032 
management 
According to the data in Table 6, since the amount of degrees of freedom F (1, 98) is not significant about 
investigated components at level of ./05α by age and gender, therefore we can conclude that there is no 
significant difference between time management of the graduate students by their age, gender and trend. 
In addition, according to the ANOVA results in the table 6, there is a significant difference in the educational 
trends respectively with values of F (559/4 and 419/2) in the long-term planning variable and also the total 
score of time management; and the results of following test showed that the value of time management among 
the students with mathematical educational trend in these components is more desirable than the students with 
industrial educational trend and no significant difference was found in other cases. 
6. Discussion and conclusion 
One of the requirements to achieve effective and qualitative learning is attention to individual differences in the 
learning process. One of these differences is the learning style of the people that is unique like person's 
fingerprint and not considered good or bad; rather it should be known by the learner and the instructor and based 
on which the training should be provided. Moreover, considering learning style, the element of time is as one of 
the factors that influence the learning process too, the learner and instructor should consider it during the training 
and manage it properly. 
A quick look at the researches done in the field of learning styles and time management demonstrates
Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
that nowadays it is necessary to pay attention to the individual differences and to consider them in the 
educational planning and teaching and it is a basis for efficient and effective learning, particularly in higher 
education and graduate studies that have short-time return than the previous courses and the learner is the leader 
of his own learning in the form of more outstanding, awareness of the learning style, time importance and its 
management would be helpful. 
But despite this, we find lack of attention to the individual differences generally and learning style and 
time management specifically in the planning and implementation of education, so it seems necessary to 
investigate and make changes. 
It was observed in the findings of the present questions that there is no relationship between learning 
style and time management; there is no significant difference between learning styles to differentiate the 
educational trend. This finding is inconsistent with Gheibi study (2010). There is no significant difference 
between the students learning style in terms of their age. This finding is consistent with Rezaee study (2010) too. 
There is no significant difference between the students learning style in terms of their gender. This 
finding is also inconsistent with Geibi(2010) & Ruin (2004) study. 
Moreover, there is no significant difference between time management and demographic variables (age, 
gender and educational trend) only the value of time management among the students with mathematics 
educational trend is more desirable than the students with industries educational trend and it didn't find any 
significant difference in the other cases. This finding is consistent with Jahanseir study (2007) in terms of gender 
variable but it is inconsistent with the findings of Perch(1981) and Trueman & Hartly (1996) in terms of age. 
Instructors, learners and educational and curriculum planners having known the importance of learning 
style and time management should take the appropriate policies at macro and micro levels in order to achieve 
effective learning regarding individual differences. 
We can provide the following suggestions in this context: 
Increasing awareness about one's learning style and using the training and study strategies tailored to it so that 
they achieve efficient learning goal at the minimum possible time. 
Increasing the students awareness about time management and its role in enhancing the quality of teaching and 
learning 
Conducting more studies on increasing awareness and reinforcing the theoretical basis of the research 
Conducting research using standardized instruments to measure learning styles(Felder & Soloman, Vark, etc) 
and its probable relation with time management. 
Rerences 
Pahlavan, M., Shariati Niyasar, H.(2011). Time management from the view of Imam Ali, Alnahj Quarterly, No. 
31, Summer 90. 
Jahanseir, KH., Salehzadeh, K. et al(2007). The effect of time management on the academic achievement of 
Islamic Azad University students in Maragheh, Knowledge and Research in Educational Sciences of the Islamic 
Azad University, Khorasgan branch in Isfahan, Issue 16, Winter 86, pp. 97-114. 
Hosseini Lorgani, M.(1998). The comparison of the students learning styles in three fields of medicine, 
engineering and the humanities at the Allameh Tabatabai University. Master's thesis, Faculty of Psychology and 
Educational Sciences, Allameh Tabatabai University. 
Ravari, A., Alhani, F. et al (2008). How to manage study time among medical science students of Kerman 
University in 1385, two-quarterly of Southern Medicine, Research Center for Tropical Medicine and Infectious 
Persian Gulf, University of Medical Sciences in Bushehr, Year 11, No. 1, pp. 76-84. 
Rezaee, A. (2010). The relationship between Kolb's learning styles and Honey & Momford's learning styles with 
age and academic performance of the students. Journal of Educational Psychology, Year VI, No. XVIII, pp. 1- 
18. 
Rezaee, K. et al (2009). Freshman learning style in Arak University of Medical Sciences, 1378, Scientific- 
Research Journal of Arak University, Year 12, No. 4, Special Issue 1, Winter 88, pp. 44-51. 
Ruin, H. (2004). The investigation of the relationship between cognitive styles (learning methods) with 
personality factors among undergraduate students of Tabriz University in the academic year 82-83, Master's 
thesis, Faculty of educational sciences and psychology, University of Tabriz. 
Gheibi, M. Arefi, M. (2012). The relationship between learning styles and self-efficacy among the academic 
departments students, Journal of Applied Psychology, Year 6, No. 1 (21) 
Yazdi, M. (2009). Investigation and comparison of learning methods and styles among the students of different 
colleges in Alzahra University ( a mechanism for identifying professional routes), Modern Educative Ideas, 
Faculty of educational sciences and psychology in the Alzahra University, Vol 5, No 145, 2-123 
Fedler. R.et (1995),”Learning and Teaching Styles in Foreign and second Language Education”,in Journal of 
Foreign Language Analysis,Vol.28,PP21-31 
Tawei KU. D. (2011). the effect of academic discipline and gender difference on Taiwanese college students 
79
Journal of Education and Practice www.iiste.org 
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) 
Vol.5, No.23, 2014 
learning styles and strategies in web-based learning environments TOJET:The Turkish OnlineJournal of 
Educational Technology-July 2011 volume 10 Issue 3 
Trueman,M.,& Hartly,J.(1996).A comparison between the time management skills and academic performance of 
mature and traditional, Entry university. 
80
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The study of relationship between learning styles and time management among graduate students

  • 1. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 The Study of Relationship between Learning Styles and Time Management among Graduate Students Azam Hamidi Nasrabad(Corresponding author) M.A Student of Curriculum, Department of Education, Shahid Bahonar University of Kerman. Hamidi_h1h@yahoo.com Asghar Soltani (corresponding author) Assistant professor of curriculum, Department of Education, Shahid Bahonar University of Kerman. a.soltani.edu@uk.ac.ir Ashraf Rashidi Kikanlu Lecturer, Department of Education, Shahid Bahonar University of Kerman Abstract This article is aimed at investigating the relationship between learning styles and time management among graduate students in Bahonar University of Kerman. This research is conducted through a descriptive and correlational method. The statistical population consists of all the graduate students studying at Bahonar University during the second semester of 2013-2014 in Kerman; among whom 110 were selected using cluster sampling procedure. The instruments used in this study were the Kolb's learning style questionnaire (converging, diverging, assimilating, adaptive) and Britton & Tesser time management questionnaire (long-term and short-term planning and time attitudes) whose reliability and validity are then confirmed. In order to analyze the data, multivariate variance analysis and Levin test were used. The results showed that there is no significant relationship between time management and learning styles of students. In addition, no significant relationship between their learning style and time management in terms of demographic variables (their disciplines of study, age and gender) was found. The extent of time management was in better condition among students of mathematics than students of industries. Keywords: Learning style, Time management, Higher Education, Student. 1. Introduction The progress and development of every country are dependent upon appropriate and efficient education. Having an education consistent with individual differences and guidance of students will ensure such a claim. The idea that individual differences in learning are only derived from their different intelligence and ability was accepted for a long time but it was changed later. Nowadays, it is clear that individual differences in learning depend to a little extent on their intelligence and ability, therefore other factors such as personality characteristics, assignments difficulty and different learning styles, and others are involved too(Rezaie. K, et al, 2009:45). So that education, which is the main purpose of universities and of both formal and informal educational systems, be implemented effectively; the personal, environmental, organizational and even universal effective factors should be recognized in the process of teaching and learning and considered during planning, design and implementation of training. It is clear that individual differences and its importance in teaching people is considerable among these factors. One of these factors is learning style and paying attention to time called time management that should be considered important by planners, educators and learners. Learning style is a method of acquiring, retaining and recalling information by people ( Fedler & Henriques, 1995). And also, it is a kind of learning strategy that can be regarded as a tendency to use specific learning strategies in some situations or learning environments. Learning styles has been regarded as preferences and tendencies in some studies and others have related them to the personal strategies of information processing. As Keefe quoted, learning styles are generally regarded as certain cognitive, emotional and psychological behaviors that serve as relatively stable indicators (of how learners perceive, interact with and respond to the learning environment (David Tawei KU, 2011). Time management, as well as awareness to science, technology, the art in optimal use of time, knowledge acquisition and skill in this area, conducting effective and on-time affairs should be considered by planners, instructors and learners ( Pahlavan, Shariati Niyasar, 2011:36). 2. Review of Literature Although no case has been observed in Iran on simultaneous investigation of two variables in research which are, numerous studies have been conducted on one each separate variable in Iran and abroad which are mentioned below: 74
  • 2. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 Hossein Lorgani (1998), in a research titled "The comparison of learning styles among male and female undergraduate and graduate students in three humanities, medical and technical-engineering disciplines" concluded that most humanities students had adaptive learning style, medical students had assimilating learning style and technical-engineering students had diverging learning style. Undergraduate students in humanities discipline had more adaptive learning style and graduate students in humanities discipline had more converging learning style. Yazdi (2009) in a study titled" Investigation and comparison of learning methods and styles among students of different colleges in Al-Zahra university" concluded that students of the art faculty use the concrete experience method and diverging-adaptive styles; students of the technical college use the reflective observation, abstract conceptualization and assimilating style; the students from the faculty of psychology use the methods of active experimentation, abstract conceptualization and converging style and also the students from the faculty of basic sciences use the method of abstract conceptualization and converging style. Rezai(2010), in a study titled "The relationship between Kolb's learning methods and Honey & Momford learning styles with age and academic performance of the students" concluded that there is a positive and significant relationship between age, abstract conceptualization and active experimentation but it has no relationship with concrete experience and reflective observation. Gheibi(2010), in a study titled "The relationship between learning styles and self-efficacy among undergraduate students of academic departments( human sciences, technical-engineering and basic sciences) in the Shahid Beheshti University" concluded that there is a significant relationship between learning styles and academic departments; and between self-efficacy and gender too but there is no significant relationship between learning style and gender. Ruin (2004), in a study titled "Investigation of the relationship between cognitive styles (learning methods with the personality factors of undergraduate students in Tabriz University)" concluded that there is a difference between learning methods according to the gender and academic departments. Ravari & Alhani et al (2008), in a study titled "How to manage study time among medical science students of Kerman University in 1385" concluded that there was no significant difference between field of study and routine study hours. ANOVA test didn't show any significant difference between different disciplines in terms of time management; and medical students in comparison with the other disciplines managed their study time further and more constantly and no relationship between different fields of study and how to manage time was observed. Jahanseir & Salehzade et al (2007), in a study titled "The effect of time management on the academic achievement of the Islamic Azad University students in Maragheh" concluded that no significant difference between amount of time management among male and female students was observed in the study. Trueman & Hartly (1996), in a study titled "The comparison of old and new time management skills among male and female students" came to the conclusion that the female and older students had better performance in time management than the male and younger students. 75 3. Research questions • Is there any relationship between the types of learning styles and time management among the students? • Is there any significant difference between the types of learning styles (adaptive, diverging, assimilating, and converging) with the components of time management (goal setting, prioritizing, planning, commitment and performance evaluation) in terms of age, gender and educational trend? 4. Methodology This study is descriptive and from the type of bivariate (two variable) correlational and a questionnaire has been used to collect data. 4.1. Statistical population and sample The statistical population of this study is the number of 3457 graduate students during 2013-2014 second semester at the Bahonar University in Kerman that the single stage cluster sampling method is used to limit statistical population. The sample group includes 110 people that were selected according to the following table: Faculty of literature and human sciences educational management trend 13 people Faculty of mathematics and computer pure mathematics trend 15 people Faculty of technical- engineering industries engineering trend 11 people Faculty of agricultural engineering plant protection engineering trend 17 people Faculty of art architecture trend 14 people Faculty of low jurisprudence and law principles trend 20 people Faculty of physical education kinematic behavior trend 20 people 4.2. The data collection instruments Two following standardized questionnaires have been used as main instruments of data collection in this study.
  • 3. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 • Kolb's learning style questionnaire (1999): This questionnaire contains 12 questions that measures four methods of the people learning in two dimensions of concrete experience, abstract thinking, reflective observation and active experimentation. Therefore, four learning styles namely converging, diverging, adaptive and assimilating styles are created through the combination of these dimensions. Every sentence of this questionnaire consists of four part and each part represents a learning method includes concrete experience, reflective observation, abstract conceptualization and active experimentation. From the sum of A options in 12 sentences a score was obtained that reflect the concrete experience score, second option belongs to the reflective observation learning style, third option belongs to the abstract conceptualization learning style and fourth option belongs to the active experimentation learning style. These four scores represent four learning styles in total. Two scores obtained by the paired subtraction of these styles mean abstract conceptualization subtract from concrete experience and active experimentation subtract from reflective observation. These two scores are located on the coordinates axis and four quadrants are obtained from the intersection of these two axes i.e. vertical axis( concrete experience, abstract conceptualization) and horizontal axis (reflective observation, active experimentation) that one of the converging, diverging, adaptive and assimilating styles is placed in each quadrant. • Britton & Tesser time management questionnaire(1991): This questionnaire consists of 18 items and three factors: 1) long-term planning, 2) short-term planning, 3) preference for order (time attitudes) and it is a good means for measuring perceptual control of time, goals setting, scheduling and time attitudes. 4.3. Validity and reliability of the measurement tools Kolb calculated the reliability coefficient of his questionnaire by Cronbach's alpha in 2006, it is for active experimentation / 78, Abstract conceptualization / 83, Reflective observation / 73 and Concrete experience / 82(Gheibi, 2012:59). The reliability and time management questionnaire has been confirmed by Jahanseir(2007) and questionnaire validity has been obtained /85 through Cronbach's alpha too. 5. Findings 5.1. First question There is a significant relationship between time management and learning styles among graduate students. Table1: The results of Levin test in the studied groups variables F DF1 DF2 meaningful level long-term planning 1.283 3 98 .284 short-term planning 1.298 3 98 .279 time attitudes .441 3 98 .724 total score of time management 1.346 3 98 .264 As we can see in the table 1, Levin test is not meaningful. According to these results, the predicted assumption of variances homogeneity in above variables between two groups is confirmed and using parametric tests is permitted. Table 2: The results of multivariate variance analysis (MANOVA), the comparison of time management differentiating converging, diverging, assimilating and adaptive learning styles. test name amount f assumption df 76 error df Meaningful level Eta square group Pilayi effect .058 .645 9.000 294.000 .758 .058 Wilkz lambda .943 .638 9.000 233.789 .764 .943 Hottling effect .060 .631 9.000 284.000 .771 .060 greatest error origin .040 1.296b 3.000 98.000 .280 .040 The results of table 2 show that the meaningful levels of all tests are considered permissible the applicability of multivariate variance analysis (MANOVA). These results show that there is no significant difference in any of the dependent variables among the studied groups.
  • 4. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 Table 3: A summary of the results of multivariate variance analysis (MANOVA) test about the comparison of time management to differentiate converging, diverging, assimilating and adaptive learning styles. Index of variation sources sum of squares degrees of freedom(df) 77 Average of squares F Meaningful level group effect Long-term planning 21.268 3 .576 .576 .632 Short-term planning 16.441 3 .171 .171 .915 Time attitudes 29.462 3 1.242 1.242 .299 Total score of 143.619 3 .535 .535 .659 time management error Long-term planning 1206.104 98 12.307 Short-term planning 3133.726 98 31.977 Time attitudes 775.057 98 7.909 Total score of time management 8763.871 98 89.427 According to the data in Table 3, since the amount of degrees of freedom F (1, 98) is not significant on the investigated components at level of ./05α, therefore we can conclude that there is no significant relationship between time management and learning style in graduate students. 5.2. Second question Is there any significant difference between the students learning style to differentiate their educational trend? Table (2) the indicators of D.Sommerz test for investigating second question variable learning style total Meaningful level amount of test convergent divergent assimilation Adaptation 582/0 048/0 agriculture 3 8 1 5 17 Educational trend industries 0 2 0 7 9 Physical 1 8 5 6 20 education architecture 1 5 0 3 9 management 0 9 1 2 12 mathematics 3 8 2 2 15 jurisprudence 0 6 2 12 20 total 8 46 11 37 102 According to the results of table 2 since amount of test (048/0) calculated for two-range tests at level 05/0 not significant, it can be said that there is no significant difference between the students learning style to differentiate their educational trend. 5.3. Third question Is there a significant difference between the students learning style and their age? Table (3) the indicators of D.Sommerz test for investigating third question variable Learning style Total Amount of test sig age to 20 years old convergent divergent assimilation Adaptation 26-30 years 6 27 7 24 64 012/0 894/0 30-31 years 2 18 2 13 35 36 years and 0 0 0 0 0 older total 0 1 2 0 3 8 46 11 37 102 According to the results of table 3, since the amount of test (0/012) calculated for two-range tests at level 0/05 is not significant, it can be said that there is no significant difference between the students learning style to differentiate their age. 5.4. Fourth question Is there any significant difference between the students learning style to differentiate their gender?
  • 5. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 Table (4) the indicators of D.Sommerz test for investigating fourth question 78 Variable Learning style total Amount of test Meaningful convergent divergent assimilation adaptation level gender male 2 17 3 9 31 083/0 346/0 female 6 29 8 28 71 total 8 46 11 37 102 According to the results of table 4 since amount of test (0/012) calculated for two-range tests at level 0/05 is not significant, it can be said that there is no significant difference between the students learning style to differentiate their gender. 5.5. Fifth question There is a significant difference between time management in terms of (by) age, gender and trend of graduate students. Table5. The results of Levin test among the studied groups Variables F DF1 DF2 Meaningful level Long-term planning .658 27 74 .888 Short-term planning 1.484 27 74 .094 Time attitudes .967 27 74 .522 total score of time management 1.268 27 74 .210 As we can see in the table 1, Levin test is not meaningful. According to these results, the predicted assumption of variances homogeneity in above variables between two groups confirmed and using parametric tests is permitted. Table 6: A summary of the results of multivariate variance analysis (MANOVA) test on the comparison of time management to differentiate converging, diverging, assimilating and adaptive learning styles. Index of variation sources Sum of squares df Average of squares F Meaningful level Gender effect Long-term planning 14.971 1 14.971 1.469 .229 Short-term planning 95.129 1 95.129 3.181 .078 Time attitudes .202 1 .202 .025 .875 Total score of time 29.535 1 29.535 .361 .549 management age Long-term planning 16.032 2 8.016 .787 .458 Short-term planning .539 2 .269 .009 .991 Time attitudes 3.057 2 1.529 .188 .829 Total 30.835 2 15.417 .188 .829 trend Long-term planning 278.706 6 46.451 4.559 .000 Short-term planning 243.905 6 40.651 1.359 .239 Time attitudes 53.762 6 8.960 1.104 .366 Total score of time 1187.402 6 197.900 2.419 .032 management According to the data in Table 6, since the amount of degrees of freedom F (1, 98) is not significant about investigated components at level of ./05α by age and gender, therefore we can conclude that there is no significant difference between time management of the graduate students by their age, gender and trend. In addition, according to the ANOVA results in the table 6, there is a significant difference in the educational trends respectively with values of F (559/4 and 419/2) in the long-term planning variable and also the total score of time management; and the results of following test showed that the value of time management among the students with mathematical educational trend in these components is more desirable than the students with industrial educational trend and no significant difference was found in other cases. 6. Discussion and conclusion One of the requirements to achieve effective and qualitative learning is attention to individual differences in the learning process. One of these differences is the learning style of the people that is unique like person's fingerprint and not considered good or bad; rather it should be known by the learner and the instructor and based on which the training should be provided. Moreover, considering learning style, the element of time is as one of the factors that influence the learning process too, the learner and instructor should consider it during the training and manage it properly. A quick look at the researches done in the field of learning styles and time management demonstrates
  • 6. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 that nowadays it is necessary to pay attention to the individual differences and to consider them in the educational planning and teaching and it is a basis for efficient and effective learning, particularly in higher education and graduate studies that have short-time return than the previous courses and the learner is the leader of his own learning in the form of more outstanding, awareness of the learning style, time importance and its management would be helpful. But despite this, we find lack of attention to the individual differences generally and learning style and time management specifically in the planning and implementation of education, so it seems necessary to investigate and make changes. It was observed in the findings of the present questions that there is no relationship between learning style and time management; there is no significant difference between learning styles to differentiate the educational trend. This finding is inconsistent with Gheibi study (2010). There is no significant difference between the students learning style in terms of their age. This finding is consistent with Rezaee study (2010) too. There is no significant difference between the students learning style in terms of their gender. This finding is also inconsistent with Geibi(2010) & Ruin (2004) study. Moreover, there is no significant difference between time management and demographic variables (age, gender and educational trend) only the value of time management among the students with mathematics educational trend is more desirable than the students with industries educational trend and it didn't find any significant difference in the other cases. This finding is consistent with Jahanseir study (2007) in terms of gender variable but it is inconsistent with the findings of Perch(1981) and Trueman & Hartly (1996) in terms of age. Instructors, learners and educational and curriculum planners having known the importance of learning style and time management should take the appropriate policies at macro and micro levels in order to achieve effective learning regarding individual differences. We can provide the following suggestions in this context: Increasing awareness about one's learning style and using the training and study strategies tailored to it so that they achieve efficient learning goal at the minimum possible time. Increasing the students awareness about time management and its role in enhancing the quality of teaching and learning Conducting more studies on increasing awareness and reinforcing the theoretical basis of the research Conducting research using standardized instruments to measure learning styles(Felder & Soloman, Vark, etc) and its probable relation with time management. Rerences Pahlavan, M., Shariati Niyasar, H.(2011). Time management from the view of Imam Ali, Alnahj Quarterly, No. 31, Summer 90. Jahanseir, KH., Salehzadeh, K. et al(2007). The effect of time management on the academic achievement of Islamic Azad University students in Maragheh, Knowledge and Research in Educational Sciences of the Islamic Azad University, Khorasgan branch in Isfahan, Issue 16, Winter 86, pp. 97-114. Hosseini Lorgani, M.(1998). The comparison of the students learning styles in three fields of medicine, engineering and the humanities at the Allameh Tabatabai University. Master's thesis, Faculty of Psychology and Educational Sciences, Allameh Tabatabai University. Ravari, A., Alhani, F. et al (2008). How to manage study time among medical science students of Kerman University in 1385, two-quarterly of Southern Medicine, Research Center for Tropical Medicine and Infectious Persian Gulf, University of Medical Sciences in Bushehr, Year 11, No. 1, pp. 76-84. Rezaee, A. (2010). The relationship between Kolb's learning styles and Honey & Momford's learning styles with age and academic performance of the students. Journal of Educational Psychology, Year VI, No. XVIII, pp. 1- 18. Rezaee, K. et al (2009). Freshman learning style in Arak University of Medical Sciences, 1378, Scientific- Research Journal of Arak University, Year 12, No. 4, Special Issue 1, Winter 88, pp. 44-51. Ruin, H. (2004). The investigation of the relationship between cognitive styles (learning methods) with personality factors among undergraduate students of Tabriz University in the academic year 82-83, Master's thesis, Faculty of educational sciences and psychology, University of Tabriz. Gheibi, M. Arefi, M. (2012). The relationship between learning styles and self-efficacy among the academic departments students, Journal of Applied Psychology, Year 6, No. 1 (21) Yazdi, M. (2009). Investigation and comparison of learning methods and styles among the students of different colleges in Alzahra University ( a mechanism for identifying professional routes), Modern Educative Ideas, Faculty of educational sciences and psychology in the Alzahra University, Vol 5, No 145, 2-123 Fedler. R.et (1995),”Learning and Teaching Styles in Foreign and second Language Education”,in Journal of Foreign Language Analysis,Vol.28,PP21-31 Tawei KU. D. (2011). the effect of academic discipline and gender difference on Taiwanese college students 79
  • 7. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.5, No.23, 2014 learning styles and strategies in web-based learning environments TOJET:The Turkish OnlineJournal of Educational Technology-July 2011 volume 10 Issue 3 Trueman,M.,& Hartly,J.(1996).A comparison between the time management skills and academic performance of mature and traditional, Entry university. 80
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