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Creating Systems and Applying Large-Scale Methods to Improve Student Remediation in Online Tutoring Systems in Real-time and at Scale
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Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment
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Investigating Learning in an Intelligent Tutoring System through Randomized Controlled Experiments
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Predictive Models of Student Learning
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Layout Optimization for Distributed Relational Databases Using Machine Learning
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Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods
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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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A Foundation For Educational Research at Scale: Evolution and Application
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Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials
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A Set of Experiments Investigating Methods to Improve Student Learning Through Self-Regulated Learning
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Characterizing Productive Perseverance Using Sensor-Free Detectors of Student Knowledge, Behavior, and Affect
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NITELITE: Studying Student Language and Teacher Feedback Through Explanation and Asynchronous Collaboration
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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The Effects of Immediate Feedback on Student Learning in Mathematics
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