Abstract
We describe a methodology for simulating student behavior to predict the effects of skill-learning parameter changes on system behavior. Validation against data collected after the changes were made shows that accurate predictions can be made despite a different cohort of students. Furthermore, deviations from the predictions may help explain unexpected effects of other changes made to the tutoring system. © 2010 Springer-Verlag.
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Dickison, D., Ritter, S., Nixon, T., Harris, T. K., Towle, B., Murray, R. C., & Hausmann, R. G. M. (2010). Predicting the effects of skill model changes on student progress. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6095 LNCS, pp. 300–302). https://doi.org/10.1007/978-3-642-13437-1_51
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