Modeling and Studying Gaming the System with Educational Data Mining

Author:

Baker Ryan S. J. d.,Corbett A. T.,Roll I.,Koedinger K. R.,Aleven V.,Cocea M.,Hershkovitz A.,de Caravalho A. M. J. B.,Mitrovic A.,Mathews M.

Publisher

Springer New York

Reference61 articles.

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3. Arroyo, I., Ferguson, K., Johns, J., Dragon, T., Meheranian, H., & Fisher, D. (2007). Repairing disengagement with non-invasive interventions. In J. Greer, R. Luckin, & K. Koedinger (Eds.), Proceedings of the 13th International Conference on Artificial Intelligence in Education (pp. 195–202). Amsterdam, Netherlands: Ios Press.

4. Arroyo, I., & Woolf, B. (2005). Inferring learning and attitudes from a Bayesian Network of log file data. In U. Hoppe, F. Verdejo, & J. Kay (Eds.), Proceedings of the 12th International Conference on Artificial Intelligence in Education (pp. 33–40). Amsterdam, Netherlands: Ios Press.

5. Baker, R. S. J. d. (2007a). Is gaming the system state-or-trait? Educational data mining through the multi-contextual application of a validated behavioral model. In R. Baker, J. Beck, B. Berendt, A. Kroner, E. Menasalvas, & S. Weibelzahl (Eds.), Complete on-line Proceedings of the Workshop on Data Mining for User Modeling at the 11th International Conference on User Modeling (pp. 76–80). Pittsburgh, PA: International Working Group on Educational Data Mining.

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