Publikation

Just-In-Time Adaptivity Through Dynamic Items

Carsten Ullrich, Tianxiang Lu, Erica Melis

In: M. Zancanaro , F. Pianesi , G. McCalla , G.J. Houben (Hrsg.). Proceedings of the First and 17th International Conference on User Modeling, Adaptation, and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-09) June 22-26 Trento Italy Seiten 373-378 Lecture Notes in Computer Science (LNCS) 5535 Springer-Verlag 2009.

Abstrakt

Adaptive course generation becomes more appropriate for realistic usage scenarios and more flexible if it includes mechanisms deciding just-in-time which content, which exercises, which external resources, and which tools to include for an individual student. We developed such a just-in-time delivery framework (called Dynamic Items) that is used for enhancing the adaptivity of (educational) online material generated by the web-based platform ActiveMath. This paper describes the framework and discusses several new learning opportunities created by Dynamic Items for an individual student.

Weitere Links

Lu-dynamicItem-UMAP2009.pdf (pdf, 138 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence