Modeling Diagnostic Assessments with Bayesian Networks

@article{Almond2007ModelingDA,
  title={Modeling Diagnostic Assessments with Bayesian Networks},
  author={R. Almond and Louis V. DiBello and B. Moulder and Juan-Diego Zapata-Rivera},
  journal={Journal of Educational Measurement},
  year={2007},
  volume={44},
  pages={341-359}
}
This paper defines Bayesian network models and examines their applications to IRT-based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models that arise in skills diagnostic assessment. Aspects of the theory and use of Bayesian network models are reviewed, as they affect applications to diagnostic assessment. The paper discusses how Bayesian network models are set up with expert… Expand
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