Despite the advances in the context of Adaptive and Intelligent Web-Based Educational Systems, currently, almost all software for e-learning usually present contents in exactly the same fashion to all users, without taking into account their different learning styles. As a result, unstructured teaching models might gradually lead users to a chronic process of exclusion from the traditional approach to learning based on the interaction between the preceptor and the student. This paper introduces a novel approach that includes individuals´ psychological characteristics in e-learning, so that applications can adapt the information presentation layer to the cognitive, perceptual and attitudinal requirements of each user. The design of the proposed framework is based on three major psychological theories, and it is consistent with current models of Adaptive e-learning applications. Our system aims at enriching the interaction dialogue by tailoring applications on individual styles. This may allow users enhance their learning performances and it may help them achieve better results, more quickly.
Revised version of the paper presented at GUIDE International Workshop Rome, 19-19 March 2010, Rome, Italy. http://www.guideassociation.org. Reprinted with permission.