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

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.