A Multiagent Framework for an Adaptive E-Learning System

Larbi Esmahi; Fuhua Lin

doi:10.4018/978-1-59140-500-9.ch008

A Multiagent Framework for an Adaptive E-Learning System

Larbi Esmahi, Fuhua Lin

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

Abstract

This chapter describes a multiagent system for delivering adaptive elearning. This chapter also provides a discussion of three issues related to personalization in e-learning: technology advancement and the shift in perception of the learning process, one-size-fits-all versus personalized services, and the adaptation process. Finally, the chapter provides an overview of most known implemented systems for adaptive e-learning, as well as a detailed description of the architecture and components of the proposed multiagent framework.

Original language	English
Title of host publication	Designing Distributed Learning Environments with Intelligent Software Agents
Pages	218-241
Number of pages	24
ISBN (Electronic)	9781591405023
DOIs	https://doi.org/10.4018/978-1-59140-500-9.ch008
Publication status	Published - 1 Jan. 2004

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A Multiagent Framework for an Adaptive E-Learning System

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