An Efficient Student Model Based on Student Performance and Metadata

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.

• Type: Conference
• Year: 2008
• Where: ECAI
• Authors: Arndt Faulhaber, Erica Melis
• Keywords: Artificial Intelligence, ECAI 2008, Student Model, Student Model Technology, Transferable Belief Model