ArticleFrontiers in psychology2020
Processing Probability Information in Nonnumerical Settings - Teachers' Bayesian and Non-bayesian Strategies During Diagnostic Judgment.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Strategy Profiles in Solving Algebra Word Problems: A Person-Centered Bayesian Classification Approach for Chinese Students.Behavioral sciences (Basel, Switzerland) · 2026Article
- Making Sense of Uncertainty in the Science Classroom: A Bayesian Approach.Science & education · 2022Article
- Natural frequency trees improve diagnostic efficiency in Bayesian reasoning.Advances in health sciences education : theory and practice · 2021Article
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Authors and funding
2 authors.
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Abstract
A diagnostic judgment of a teacher can be seen as an inference from manifest observable evidence on a student's behavior to his or her latent traits. This can be described by a Bayesian model of inference: The teacher starts from a set of assumptions on the student (hypotheses), with subjective probabilities for each hypothesis (priors). Subsequently, he or she uses observed evidence (students' responses to tasks) and knowledge on conditional probabilities of this evidence (likelihoods) to revise these assumptions. Many systematic deviations from this model (biases, e.g.,
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