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.