Computerized evaluation and diagnosis of student's knowledge based on Bayesian networks

Authors:
Gladys Castillo;Luís Descalço;Sandra Diogo;Eva Millán;Paula Oliveira;Batel Anjo
Affiliations:
Department of Mathematics, University of Aveiro;Department of Mathematics, University of Aveiro;Department of Mathematics, University of Aveiro;ETSI Informática, University of Málaga;Department of Mathematics, University of Aveiro;Department of Mathematics, University of Aveiro
Venue:
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Year:
2010

Citing 2
Cited 1

A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation

User Modeling and User-Adapted Interaction
Introducing prerequisite relations in a multi-layered bayesian student model

UM'05 Proceedings of the 10th international conference on User Modeling

Using Bayesian networks to improve knowledge assessment

Computers & Education

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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.