Typical learning management systems consider only little or, in most cases, no adaptivity. In
this paper, we introduce an adaptive mechanism which enables such systems to provide …

Ubiquitous learning is an emerging research field, allowing students to learn anywhere and
anytime. Adaptivity and personalization issues play an important role in ubiquitous learning …

E-learning and distance learning are all forms of learning that take place outside of a
traditional learning environment and can be alternatives for learners who are not able to …

In recent years, kNN algorithm is paid attention by many researchers and is proved one of
the best text categorization algorithms. Text categorization is according to training set, which …

Employing the state-of-the-art artificial intelligence (AI) technology in current e-learning
systems can bring personalized, adaptive, and intelligent services to both students and …

This paper presents recommendation algorithms that personalize course and curriculum
content for individual students, within the broader scope of Pervasive Cyberinfrastructure for …

The technological innovation and advancements in smart phones and wireless
communication have reformed learning techniques such as Pervasive Learning (P …

While mobile learning gets more and more popular, little is known about how learners use
their devices for learning successfully and how to consider context information, such as what …

This chapter addresses the nature of problem solving in general, how cognitive
psychologists believe that problem solving expertise develops, new issues in problem …

The increasing advances of new Internet technologies in all application domains have
changed life styles and interactions. E-learning and collaborative learning environment …