Document Type : Original Research Paper


1 Faculty of Electrical and Computer Engineering, Tehran University, Tehran, Iran

2 Information Technology, Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

3 Computer Engineering - Software, Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran


One of the most important parameters in personalization of adaptive learning web-based educational systems is learning style. Up to now, various  learning styles proposed and this paper tries to evaluate the efficiency of using one of them, Jackson model. In this study, we  categorized students as model says and delivered learning content matched to each group learning style.  Findings of the study indicate differences in performance between matched and non-matched students in one case of the study and in the other case, demonstrate no significant difference. Although these results pertain to an undergraduate educational session, however our proposed framework is general enough to be applied to effective and efficient pedagogy in any area at any level.


Main Subjects

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