Abstract
In this paper, we describe the integration and evaluation of an existing generic Bayesian student model into an existing computerized testing system within the Projecto Matemática Ensino (PmatE) of the University of Aveiro. The Bayesian student model had previously been evaluated with simulated students, but a real application was still needed. The testing system in PmatE is based in the use of Learning Objects (LO), which are question generators which essentially consist of some parameterized text and sets of parameterized “true/false” questions (at least four). These LO together with the experience of PmatE in using computerized tests with students, gives us ideal conditions for testing the described Bayesian student model with real students.
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Castillo, G., Descalço, L., Diogo, S., Millán, E., Oliveira, P., Anjo, B. (2010). Computerized Evaluation and Diagnosis of Student’s Knowledge Based on Bayesian Networks. In: Wolpers, M., Kirschner, P.A., Scheffel, M., Lindstaedt, S., Dimitrova, V. (eds) Sustaining TEL: From Innovation to Learning and Practice. EC-TEL 2010. Lecture Notes in Computer Science, vol 6383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16020-2_43
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DOI: https://doi.org/10.1007/978-3-642-16020-2_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16019-6
Online ISBN: 978-3-642-16020-2
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