Recent-Performance Factors Analysis
نویسندگان
چکیده
We introduce R-PFA, a new model for predicting whether or not a student will answer an item correctly based on the student’s history of practice. The key idea in R-PFA is to represent history as a recentcy-weighted proportion of correct responses. In an evaluation on a dataset from the Assistments tutoring system, we find that R-PFA improves predictive accuracy over other logistic regression model variants, including PFA and AFM.
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