Student Modeling from Conventional Test Data: A Bayesian Approach without Priors

Kurt VanLehn; Zhendong Niu; Stephanie Siler; Abigail S. Gertner

doi:10.1007/3-540-68716-5_49

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Student Modeling from Conventional Test Data: A Bayesian Approach without Priors

Kurt VanLehn Zhendong Niu Stephanie Siler Abigail S. Gertner

Year: 1998 Lecture notes in computer science Pages: 434-443 Publisher: Springer Science+Business Media

DOI: 10.1007/3-540-68716-5_49

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Keywords:

Prior probability Computer science Posterior probability Bayesian probability Machine learning Competence (human resources) Artificial intelligence Test (biology) Prior information Test data Psychology

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Intelligent Tutoring Systems and Adaptive Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

Student Modeling from Conventional Test Data: A Bayesian Approach without Priors

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