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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Using Association Rules to Guide a Search for Best Fitting Transfer Models of Student Learning
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Enhancing Personalization Within ASSISTments
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Tools to help build models that predict student learning
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Refining Learning Maps with Data Fitting Techniques
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Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems
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Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems
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Constructing an Authoring Tool for Intelligent Tutoring Systems with Hierarchical Domain Models
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Improving Educational Content: A Web-based Intelligent Tutoring System with Support for Teacher Collaboration
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A Graph Theoretic Clustering Algorithm based on the Regularity Lemma and Strategies to Exploit Clustering for Prediction
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Developing Automated Audio Assessment Tools for a Chinese Language Course
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Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems
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Towards Teachers Quickly Creating Tutoring Systems
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Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages
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Responding to Moments of Learning
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The effect of prompted self-revision on student performance in the context of open-ended problems using Randomized Control Trials
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Improving Automated Assessment for Student Open-responses in Mathematics
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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