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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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Theory and Practice: Improving Retention Performance through Student Modeling and System Building
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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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Tracing Knowledge and Engagement in Parallel by Observing Behavior in Intelligent Tutoring Systems
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Boredom and student modeling in intelligent tutoring systems
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Modeling Student Retention in an Environment with Delayed Testing
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Predictive Models of Student Learning
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Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System
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