Early in 2005, Phil Harris, Executive Director of the Association of Educational
Communications and Technology, approached Mike Spector and asked if he would like to …

One distinctive feature of any adaptive system is the user model that represents essential
information about each user. This chapter complements other chapters of this book in …

This chapter aims to provide an up-to-date snapshot of the current state of research and
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …

This paper elaborates on the need for adaptive educational systems, describes an evidence-
based, four-process framework for analyzing adaptive educational systems, and reviews …

This paper describes research and development efforts related to adaptive technologies,
which can be combined with other technologies and processes to form an adaptive system …

This paper brings together research from two different fields–user modelling and web
ontologies–in attempt to demonstrate how recent semantic trends in web development can …

This paper introduces a hybridization approach of AI techniques and statistical tools to
evaluate and adapt the e-learning systems including e-learners. Learner's profile plays a …

Over the past decades, computer science educators have developed a multitude of
interactive learning resources to support learning in various computer science domains …

Rich, interactive eLearning tools receive a lot of attention nowadays from both practitioners
and researchers. However, broader dissemination of these tools is hindered by the technical …

This paper presents an update of our work on developing a distributed architecture for
adaptive E-Learning. We introduce ADAPT2–an extension of KnowledgeTree architecture …