Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments

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19 Scopus citations


Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. Drawing from and advancing methods in dynamic Bayesian networks, cognitive diagnostic modeling, and analysis of process data, a Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described, and implemented in the context of an educational video game.

Original languageEnglish (US)
Pages (from-to)771-794
Number of pages24
JournalMultivariate Behavioral Research
Issue number6
StatePublished - Nov 2 2019


  • Dynamic Bayesian network
  • diagnostic assessment
  • game-based assessment

ASJC Scopus subject areas

  • Statistics and Probability
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)


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