A new adaptive e-learning model based on learner's styles

  • Authors:
  • Hazem M. El-Bakry;Ahmed A. Saleh;Taghreed T. Asfour;Nikos Mastorakis

  • Affiliations:
  • Dept. of Information Systems, Faculty of Computer Science & Information Systems, Mansoura University, Egypt;Dept. of Information Systems, Faculty of Computer Science & Information Systems, Mansoura University, Egypt;Dept. of Information Systems, Faculty of Computer Science & Information Systems, Mansoura University, Egypt;Technical University of Sofia, Bulgaria

  • Venue:
  • MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
  • Year:
  • 2011

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Abstract

In recent years we have shown increasingly awareness for the importance of adaptivity in electronic learning (e-learning). Since the learning style of each learner is different we have to fit e-learning to the different needs of learners. Adaptive e-learning today gives the student a central role in his/her own learning process. It allows students to try things out, participate in courses, tests and simulations like never before, and get more out of learning than before. In this paper, an adaptive e-learning environment for logic design, simplification of Boolean functions and related fields is presented. The presented model generates suitable courses for each student in a dynamic and adaptive manner on the basis of learning profile by using existing database and workflow technologies. The contribution of this paper is to provide an adaptive e-learning model based learners' styles and personality using explicit and implicit feedback. To recognize the learner's personality, we develop new modified dimensions for learning styles to decide each individual learning style in order to accommodate different abilities of the users and to develop vital skills. Thus, the model became more powerful, user friendly and easy to interpret. Finally, it will suggest a learning strategy and appropriate electronic media that match the learner's preference. Our proposed strategies designed in a way that learners are encouraged to observe, analyze, express an opinion, look for a solution and facilitate a deeper understanding of the information. The proposed model is designed by integrating visual basic, flash, Microsoft access, and other effective tools.