Dataset Information

Bayesian Networks in Educational Assessment: The State of the Field.

ABSTRACT: Bayesian networks (BN) provide a convenient and intuitive framework for specifying complex joint probability distributions and are thus well suited for modeling content domains of educational assessments at a diagnostic level. BN have been used extensively in the artificial intelligence community as student models for intelligent tutoring systems (ITS) but have received less attention among psychometricians. This critical review outlines the existing research on BN in educational assessment, providing an introduction to the ITS literature for the psychometric community, and points out several promising research paths. The online appendix lists 40 assessment systems that serve as empirical examples of the use of BN for educational assessment in a variety of domains.

SUBMITTER: Culbertson MJ

PROVIDER: S-EPMC5978531 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Bayesian Networks in Educational Assessment: The State of the Field.

Culbertson Michael J MJ

Applied psychological measurement 20150619 1

Bayesian networks (BN) provide a convenient and intuitive framework for specifying complex joint probability distributions and are thus well suited for modeling content domains of educational assessments at a diagnostic level. BN have been used extensively in the artificial intelligence community as student models for intelligent tutoring systems (ITS) but have received less attention among psychometricians. This critical review outlines the existing research on BN in educational assessment, pro ...[more]

PMID: 29881033

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Dataset Information

Bayesian Networks in Educational Assessment: The State of the Field.

Publications

Bayesian Networks in Educational Assessment: The State of the Field.

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