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.
CITATION STYLE
Esmahi, L., & Badidi, E. (2004). An agent-based framework for adaptive M-learning. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3029, pp. 749–758). Springer Verlag. https://doi.org/10.1007/978-3-540-24677-0_77
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