Student assessment using Bayesian nets

Joel Martin, Kurt VanLehn

Research output: Contribution to journalArticle

80 Scopus citations

Abstract

We describe OLAE as an assessment tool that collects data from students solving problems in introductory college physics, analyses that data with probabilistic methods that determine what knowledge the student is using, and flexibly presents the results of analysis. For each problem, OLAE automatically creates a Bayesian net that relates knowledge, represented as first-order rules, to particular actions, such as written equations. Using the resulting Bayesian network, OLAE observes a student’s behavior and computes the probabilities that the student knows and uses each of the rules.

Original languageEnglish (US)
Pages (from-to)575-591
Number of pages17
JournalInternational Journal of Human - Computer Studies
Volume42
Issue number6
DOIs
StatePublished - Jun 1995
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Human Factors and Ergonomics
  • Education
  • Engineering(all)
  • Human-Computer Interaction
  • Hardware and Architecture

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