Embedded assessment constantly updates a model of the student as the student works on instructional tasks. Accurate embedded assessment allows students, instructors and instructional systems to make informed decisions without requiring the student to stop instruction and take a test. This thesis describes the development and comparison of several student models for Dragoon, an intelligent tutoring system. All the models were instances of Bayesian Knowledge Tracing, a standard method.
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- Partial requirement for: M.S., Arizona State University, 2015Note typethesis
- Includes bibliographical references (pages 56-57)Note typebibliography
- Field of study: Computer science