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Improving Student Performance Using Self-Assessment Tests
July/August 2007 (vol. 22 no. 4)
pp. 46-52
Eduardo Guzmán, University of Málaga
Ricardo Conejo, University of Málaga
José-Luis Pérez-de-la-Cruz, University of Málaga
Two empirical studies conducted in a university setting evaluate Siette, a set of tools for constructing and administering adaptive tests via the Internet. Such tests guarantee reliable and accurate student knowledge diagnosis. Adaptation depends on the question-selection process (performed dynamically during the test) and the test-finalization decision (which relies on the required accuracy of the diagnoses). The studies explore how self-assessment tests influence students' final grades. This article is part of a special issue on intelligent educational systems.
Index Terms:
adaptive testing, personalized content delivery and generation, user-modeling techniques, system evaluation, adaptive hypermedia
Citation:
Eduardo Guzmán, Ricardo Conejo, José-Luis Pérez-de-la-Cruz, "Improving Student Performance Using Self-Assessment Tests," IEEE Intelligent Systems, vol. 22, no. 4, pp. 46-52, July-Aug. 2007, doi:10.1109/MIS.2007.71
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