A Study of Learning Approaches and their Relationship with Demographic Characteristics of Postgraduate Students of Kerman University of Medical Sciences, Iran, in 2014
Strides in Development of Medical Education: February 29, 2016, 12 (5); e58420
February 29, 2016
Article Type: Research Article
July 22, 2017
May 11, 2015
A , Sabzevari
M R . A Study of Learning Approaches and their Relationship with Demographic Characteristics of Postgraduate Students of Kerman University of Medical Sciences, Iran, in 2014,
Strides Dev Med Educ.
Background & Objective: An important individual difference among students is their learning approaches. Learning approaches are styles through which the learner selects information and integrates them. Identifying students’ learning approaches and educational planning result in the attainment of educational achievements by students. The aim of this study was to evaluate learning approaches and determine their relationship with demographic characteristics of postgraduate students of Kerman University of Medical Sciences, Iran.
Methods: This was a descriptive, analytical, correlational study on 400 postgraduate students selected through random sampling. The data collection tool consisted of a questionnaire with two sections of demographic characteristics and learning approaches. Data were analyzed using descriptive statistics (frequency, mean, and standard deviation) and ANOVA and chi-square tests in SPSS software.
Results: The frequencies of deep, surface, and surface-deep approaches among the students were 70.5%, 23.5%, and 6.0%. Moreover, among demographic characteristic, the students’ occupation had a significant relationship with their approaches to learning (P = 0.032). There was no relationship between learning approaches and other demographic characteristics of students.
Conclusion: This study showed that the majority of postgraduate students in Kerman University of Medical Sciences preferred the deep learning approach. This learning approach had a significant relationship with their occupation. It frequency was higher in unemployed people. These findings are useful for the university and professors.
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