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Exploring the Influence of Anonymity and Prior-Performance on Teacher Grading Behavior.
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The Role of Online Assignments and Feedback to Chinese Language Learning Efficiency
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Integrating Personalized Learning into Online Education through Content Aggregation, Data Mining, and Reinforcement Learning
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Calendar Visualizations of Money Earlier or Later Questions
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The Effects of Immediate Feedback on Student Learning in Mathematics
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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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THE EFFECTS OF PERCEPTUAL AND EMBODIED FEATURES ON STUDENT LEARNING AND PERFORMANCE IN ONLINE PLATFORMS
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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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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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NITELITE: Studying Student Language and Teacher Feedback Through Explanation and Asynchronous Collaboration
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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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Understanding and Engagement through Dynamic Technology and Gamified Learning Environments
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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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Characterizing Productive Perseverance Using Sensor-Free Detectors of Student Knowledge, Behavior, and Affect
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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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A Set of Experiments Investigating Methods to Improve Student Learning Through Self-Regulated Learning
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Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials
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A Foundation For Educational Research at Scale: Evolution and Application
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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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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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Tutoring Students with Adaptive Strategies
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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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A Multifaceted Consideration of Motivation and Learning within ASSISTments
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Enhancing Personalization Within ASSISTments
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Refining Learning Maps with Data Fitting Techniques
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Boredom and student modeling in intelligent tutoring systems
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Real-time Assessment, Prediction, and Scaffolding of Middle School Students’ Data Collection Skills within Physical Science Simulations
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Leveraging User Testing to Address Learnability Issues for Teachers Using ASSISTments
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Improving Educational Content: A Web-based Intelligent Tutoring System with Support for Teacher Collaboration
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Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?
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An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System
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Leveraging Influential Factors into Bayesian Knowledge Tracing
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Layout Optimization for Distributed Relational Databases Using Machine Learning
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Predictive Models of Student Learning
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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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Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access
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