Abstract

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)
JournalMultivariate Behavioral Research
DOIs
StatePublished - Jan 1 2019

Fingerprint

Educational Games
Dynamic Bayesian Networks
Bayesian Modeling
Video Games
Network Modeling
Diagnostics
Game
Students
Misconceptions
Bayesian Approach
Calibration
Bayes Theorem
Diptera
Modeling
Education
Bayesian Networks
Model
Context
Observation
Skills

Keywords

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

ASJC Scopus subject areas

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

Cite this

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abstract = "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.",
keywords = "diagnostic assessment, Dynamic Bayesian network, game-based assessment",
author = "Roy Levy",
year = "2019",
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