@inproceedings{pub3810,
    series = {Frontiers in Artificial Intelligence and Applications, FAIA},
    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 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.
},
    year = {2008},
    title = {An Efficient Student Model Based on Student Performance and Metadata},
    booktitle = {Proceedings of 18th European Conference on Artificial Intelligence. 18th European Conference on Artificial Intelligence (ECAI-08), July 21-25, Patras, Greece},
    editor = {Nikos Avouris and Nikos Fakotatis and Constantine D. Spyropoulos and Malik Ghallab},
    volume = {178},
    pages = {276-280},
    publisher = {IOS Press},
    author = {Arndt Faulhaber and Erica Melis},
    organization = {University of Patras},
    url = {http://www.dfki.de/~melis/Pub/ecai2008SLM.pdf}
}