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Improvements on Trained Across Multiple Experiments (TAME), a New Method for Treatment Effect Detection
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Incorporating Rich Features into Deep Knowledge Tracing
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A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for A Hint
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Tutoring Students with Adaptive Strategies
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Student Modeling From Different Aspects
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Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods
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A Multifaceted Consideration of Motivation and Learning within ASSISTments
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Enhancing Personalization Within ASSISTments
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Refining Learning Maps with Data Fitting Techniques
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Boredom and student modeling in intelligent tutoring systems
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