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- W2152512779 abstract "This paper discusses a machine learning framework that uses extraction, classification, and generalization techniques to classify students according to their cognitive and behavioral learning patterns and to categorize tutoring strategies of expert human tutors. A great deal of the discussion focuses on the use of reinforcement learning techniques, specifically the ?-greedy and temporal difference TD(0) methods in deriving tutoring policies over a class of students. Future works will deal on incremental learning and modification of learned policies while the tutor performs on-line in real-time, and extracting and learning the way expert tutors execute their tutoring activities." @default.
- W2152512779 created "2016-06-24" @default.
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- W2152512779 date "2003-06-26" @default.
- W2152512779 modified "2023-09-22" @default.
- W2152512779 title "A machine learning framework for an expert tutor construction" @default.
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- W2152512779 doi "https://doi.org/10.1109/cie.2002.1186038" @default.
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