A Recommender Agent For E-Learning System

Teh , Kang Inn (2005) A Recommender Agent For E-Learning System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

A recommender agent in an e-Learning context is a web-based system that tries to intelligently recommend actions to onlline learner. A recommender is an agent that sees what a user is doing and tries to recommend learning activities of action it thinks would be beneficial to the user. This recommendation could be an on-line activity such as guiding online learner with learning contents, suggesting tips for !earner, advising learner as a site map, or could be simply a web contents resource. Thee-Learning context is about digital photography. A recommender which an interface animated agent could recommend online nigital photography learning aetivities or shorteuts in a eourse web site to improve course material navigation as well as assist the online learning process. The objectives to build such an agent to make e-Learning more for user centric, gives real support for the just-in-time learning process and provide motivational support to fully integrate learning. The methodology use for development is calls ADDIE model that consist of analysis, design, develop, implement and evaluation. A recommender agent is proposed to improve the integration between learner and e-Learning system emd satisfy learner requirements.

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