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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Supporting Adaptive Learning with a Student Model Repository and Shared Adaptive Variables
verfasst von : Bakhtiyor Bahritidinov, Jorge Suárez de Lis, Eduardo Sánchez, Manuel Lama
Erschienen in: Advances in Web-Based Learning – ICWL 2010
Verlag: Springer Berlin Heidelberg
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This paper presents a Student Model Repository as well as an IMS LD Authoring Tool that follows the FLEXO approach aimed at supporting adaptive learning using IMS LD. Current IMS LD tools typically manage ad-hoc representations of student models that limit both the scope and possibilities of the adaptation mechanisms. Under the proposed approach, an independent Student Model Repository (1) exposes a set of possible student model attributes that could be used as adaptive variables in any Authoring Tool, and (2) offers to any execution engine, real-time access to the values of those student attributes to allow the execution of adaptive rules embedded in units of learning.