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Calendar Visualizations of Money Earlier or Later Questions
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Deep Multiple-Instance Learning for Stable Attribute Classification in Classroom Video
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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Improving Automated Assessment for Student Open-responses in Mathematics
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Analytics projects for key stakeholders in large scale online learning systems
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Identifying Struggling Students by Comparing Online Tutor Clickstreams
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Effectiveness of the Automatic Reassessment and Relearning System for Short- and Long-term Mathematical Skill Retention
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Examining Student Effort on Hint through Response Time Decomposition
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Learning Deep Social Interactions to Identify Positive Classroom Climate
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Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
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Developing Automated Audio Assessment Tools for a Chinese Language Course
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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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Exploring Measurement Estimation Through Learners Actions, Language, and Gestures
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Graspable Math K-12: Perspectives and Design for Formative Assessment of Mathematical Proficiency with Learning Technologies
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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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