R. Nkambou and J.P.M. Tchetagni (Canada)
Student modeling, diagnosis, e-learning systems
An approach to trace and to analyze student actions in a web based learning environment (WBLE) is presented. An XML schema structuring relevant information in an e session is defined inspired from SCORM recommendations. For each problem-solving activity for which a failure is noticed in a trace based on this schema, a two-level diagnosis procedure is used. Viewing the capability model associated with a test question or a problem solving activity as a Bayesian network, we show how belief revision theory provides a most probable explanation (MPE) for the observed failure.
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