Since the introduction of Tapestry in 1990, research on recommender systems has traditionally focused on the development of algorithms whose goal is to increase the accuracy of predicting users' taste based on historical data. In the last decade, this research has diversified, with "human factors" being one area that has received…

As the use of Information Technology (IT) applications has become more widespread, focus has turned toward applying IT to the learning domain, with policy initiatives aimed at integrating IT with teaching. E-Portfolios have assumed growing importance in higher education as institutions seek new teaching-learning-assessment tools to increase…

A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…