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Mastering Adaptive Hypermedia Courseware

2008

AI-generated Abstract

The paper presents a novel triangular model for Adaptive Hypermedia Systems (AHS) to enhance the adaptability of e-learning courseware. This model refines the traditional AHAM reference model by separating the learner, content, and adaptation models into three distinct sub-models, facilitating flexible and personalized content delivery based on individual learner characteristics. The architecture supports various adaptation techniques and emphasizes metadata-driven approaches, aiming to improve interoperability and consistency in adaptive learning environments.

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