Predicting the effects of skill model changes on student progress
INTELLIGENT TUTORING SYSTEMS, PART II（2010）
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.
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Key words
simulating student behavior,skill model change,accurate prediction,tutoring system,parameter change,student progress,system behavior validation,unexpected effect,different cohort,simulation model,data mining,data collection
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