Predicting the effects of skill model changes on student progress
D Dickison, S Ritter, T Nixon, TK Harris, B Towle… - … conference on intelligent …, 2010 - Springer
International conference on intelligent tutoring systems, 2010•Springer
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.
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.
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.
Springer
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