An agent-based framework for adaptive M-learning

Larbi Esmahi, Elarbi Badidi

    Research output: Contribution to journalConference articlepeer-review

    4 Citations (Scopus)


    This paper describes a multiagent system for delivering adaptive m-learning services. It provides a discussion of many questions related to adaptivity and mobility in e-learning: course content adaptation, wireless access to learning services using PDA, and openness to external learning resources (learning object repositories). The paper provides a short overview of some related works and provides a detailed description of the architecture and components of the proposed multiagent framework.

    Original languageEnglish
    Pages (from-to)749-758
    Number of pages10
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Publication statusPublished - 2004
    Event17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada
    Duration: 17 May 200420 May 2004


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