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 …

Students are characterized by different learning styles, focusing on different types of
information and processing this information in different ways. One of the desirable …

This paper discusses the problems of developing versatile adaptive and intelligent learning
systems that can be used in the context of practical Web-based education. We argue that …

32 May 2002/Vol. 45, No. 5 COMMUNICATIONS OF THE ACM model, an adaptable system
requires the user to specify exactly how the system should be different, for example, tailoring …

In this paper we present an Adaptive Educational Hypermedia prototype, named INSPIRE.
The approach employed in INSPIRE emphasizes the fact that learners perceive and process …

Face-to-face tutoring offers a learning environment that best suits the learner's preferences
(learning styles) and grasping levels (learning levels). This cognitive intelligence has been …

In this paper we present eTeacher, an intelligent agent that provides personalized
assistance to e-learning students. eTeacher observes a student's behavior while he/she is …

In recent years, the learner models of some adaptive learning environments have been
opened to the learners they represent. However, as yet there is no standard way of …

This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on
distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge …

Adaptive hypermedia is a new area of research at the crossroads of hypermedia, adaptive
systems, and intelligent tutoring systems. Educational hypermedia systems is currently the …