The Web allows self-regulated learning through interaction with large amounts of learning
resources. While enjoying the flexibility of learning, learners may suffer from cognitive …

Adaptive systems refer to autonomous interactive systems that adjust their behavior and
functionality to environmental changes. In e-learning context, adaptive e-learning systems …

This paper proposes an approach to dynamically compose an adaptive curriculum for e-
learning based on a topic-centered resource space. By exploiting the semantic relationships …

Solving well-structured problems often requires using considerable related concepts which
are usually scattered and introduced throughout different learning units of a subject. In …

E-learning aims to deliver individualized, comprehensive, dynamic learning content in real
time, aiding the development of communities of knowledge. By incorporating semantic Web …

Abstract Domain keywords of text play a primary role in text classifying, clustering and
personalized services. This paper proposes a term frequency inverse document frequency …

This paper presents an ontology-based methodology for automatic decomposition of
Learning Objects (LOs) into reusable content units, and discusses their dynamic assembly …

Personalized recommendation is a widely used application of Web personalized services
which alleviate the burden of information overload by collecting information which meets …

This paper proposes an approach to dynamically compose an adaptive curriculum for e-
learning based on a topic-centered resource space. By exploiting the semantic relationships …

The purpose of this study was to explore how student behaviors, while using an adaptive
courseware system, influenced performance in a gateway biology course. This study used a …