An agent-based framework for adaptive M-learning

Larbi Esmahi; Elarbi Badidi

doi:10.1007/978-3-540-24677-0_77

An agent-based framework for adaptive M-learning

Larbi Esmahi, Elarbi Badidi

School of Computing and Information systems

University of Montreal

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	749-758
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3029
DOIs	https://doi.org/10.1007/978-3-540-24677-0_77
Publication status	Published - 2004
Event	17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada Duration: 17 May 2004 → 20 May 2004

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10.1007/978-3-540-24677-0_77

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AB - 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.

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VL - 3029

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004

Y2 - 17 May 2004 through 20 May 2004

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An agent-based framework for adaptive M-learning

Abstract

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