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Generic Bayesian Student Model (GBSM)

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Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

The GBSM is a generic Bayesian student-modelling framework used to construct domain-specific models for diagnosing learner knowledge in computerized assessment systems.

Components

  • Generic Bayesian student model (GBSM) integrated into the PMatE computerized testing system: The GBSM is an existing generic Bayesian student model that was integrated into an existing computerized testing system within the Mathematics Education Project (PmatE) of the University of Aveiro. In this work it "had been used" to define Bayesian Student Models (BSMs) "for a concrete domain: first degree equations", with separate BSMs built for the computer test and the written exam. Its diagnosis capabilities were then evaluated against expert grading. (Millán-Valldeperas et al. (2013))

Claims

Key Sources

  • Millán-Valldeperas, E.; Descalço, L.; Castillo, G.; Oliveira, P.; Diogo, S. (2013). Using Bayesian networks to improve knowledge assessment. Elsevier. http://hdl.handle.net/10630/7068
Page metadata
Field Value
type product
id generic-bayesian-student-model-gbsm
title Generic Bayesian Student Model (GBSM)
description The GBSM is a generic Bayesian student-modelling framework used to construct domain-specific models for diagnosing learner knowledge in computerized assessment systems.
status review
product_kind framework
generated by process:settle-candidates on 2026-10-29
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