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An Efficient Student Model Based on Student Performance and Metadata
Arndt Faulhaber, Erica Melis
276 - 280
10.3233/978-1-58603-891-5-276
Frontiers in Artificial Intelligence and Applications
Volume 178: ECAI 2008
Abstract

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 web-based 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.

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