Bayesian Networks in Educational Assessment

  title={Bayesian Networks in Educational Assessment},
  author={Michael J. Culbertson},
  journal={Applied Psychological Measurement},
  pages={21 - 3}
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… 

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