More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing

Author:

Baker Ryan S. J. d.,Corbett Albert T.,Aleven Vincent

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Beck, J.: Difficulties in inferring student knowledge from observations (and why you should care). In: Educational Data Mining: Supplementary Proceedings of the 13th International Conference of Artificial Intelligence in Education, pp. 21–30 (2007)

2. Lecture Notes in Artificial Intelligence;J.E. Beck,2007

3. Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)

4. Cen, H., Koedinger, K.R., Junker, B.: Is Over Practice Necessary? Improving Learning Efficiency with the Cognitive Tutor. In: Proceedings of the 13th International Conference on Artificial Intelligence and Education (2007)

5. Chang, K., Beck, J., Mostow, J., Corbett, A.T.: Does Help Help? A Bayes Net Ap-proach to Modeling Tutor Interventions. In: Proceedings of the AAAI 2006 Workshop on Educational Data Mining (2006)

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