Student modelling based on belief networks

International Journal of Artificial Intelligence in Education

Volumn 14, Issue 1, 2004, Pages 63-96

  Reye, Jim ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85006883126     PISSN: 15604292     EISSN: 15604306     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

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10. Reye, J. (1998). Two-phase updating of student models based on dynamic belief networks. In B. Goettl, H. Halff, C. Redfield, & V. Shute (Eds.) Intelligent Tutoring Systems Proceeding of the Fourth International Conference, ITS’98, San Antonio, USA. Berlin: Springer-Verlag.
11. Russell, S., & Norvig, P. (1995) Artificial intelligence: a modern approach. Prentice-Hall.
12. Self, J. (1993). Model-based Cognitive Diagnosis. User Modeling and User-Adapted Interaction, 3, 89-106.
13. Shute, V. (1995) SMART evaluation: cognitive diagnosis, mastery learning & remediation. In J. Greer (Ed.) Artificial Intelligence in Education (pp. 123-130). Charlottesville, VA: Association for the Advancement of Computing in Education.
14. Villano, M. (1992) Probabilistic student models: Bayesian belief networks and knowledge space theory. In C. Frasson, C. Gauthier, & G. McCalla (Eds.) Intelligent Tutoring Systems, Proceeding of the Second International Conference, ITS’92, Montreal, Canada (pp. 491-498). Berlin: Springer-Verlag.