Title: An adaptive teaching strategy model in e-learning using learners' preference: LearnFit framework

Authors: Essaid El Bachari; El Hassan Abelwahed; Mohammed El Adnani

Addresses: Department of Engineering Science, Faculty of Science Semlalia, Cadi Ayyad University, B.P. 2390, Bd My Abdellah, 40000, Marrakesh, Morocco ' Department of Engineering Science, Faculty of Science Semlalia, Cadi Ayyad University, B.P. 2390, Bd My Abdellah, 40000, Marrakesh, Morocco. ' Department of Engineering Science, Faculty of Science Semlalia, Cadi Ayyad University, B.P. 2390, Bd My Abdellah, 40000, Marrakesh, Morocco

Abstract: Personality and individual differences are effective parameters in human activities such as learning. Since the learning style of each learner is different, we must fit learning to the different needs of learners. In this paper, an innovative learning approach is proposed by considering the learner's preferences. Using the Myers-Briggs Type Indicator's (MBTI) tools, a framework for adaptive teaching strategies has been developed in e-learning context. Moreover, an experiment was conducted to evaluate the performance of our approach. The results of the system tested in real environments show that considering the learner's preferences increases learning quality and satisfies the learner.

Keywords: adaptive learning; Myers-Briggs type indicator; MBTI; learning styles; teaching strategy; personalisation; e-learning; electronic learning; online learning; learner preferences; performance evaluation; learning quality.

DOI: 10.1504/IJWS.2012.045815

International Journal of Web Science, 2012 Vol.1 No.3, pp.257 - 274

Published online: 21 Aug 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article