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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment
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Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods
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Layout Optimization for Distributed Relational Databases Using Machine Learning
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Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials
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Predictive Models of Student Learning
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Graphical Data Mining for Computational Estimation in Materials Science Applications
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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Investigating Learning in an Intelligent Tutoring System through Randomized Controlled Experiments
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Tutoring Students with Adaptive Strategies
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