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Publikation

An Efficient Student Model Based on Student Performance and Metadata

Arndt Faulhaber; Erica Melis
In: Nikos Avouris; Nikos Fakotatis; Constantine D. Spyropoulos; Malik Ghallab (Hrsg.). Proceedings of 18th European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-08), 18th, July 21-25, Patras, Greece, Pages 276-280, Frontiers in Artificial Intelligence and Applications (FAIA), Vol. 178, IOS Press, 2008.

Zusammenfassung

This paper describes a new student model technology that combines evidences and knowledge about pedagogical and domain structure. Its structure is generated from the metadata available in the content representation of the adaptive webbased learning platform ActiveMath (or other contents). The evidences are processed with Item Response Theory and Transferable Belief Model uncertainty methodologies. We summarize evaluation results for this student model.