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Constructing an Authoring Tool for Intelligent Tutoring Systems with Hierarchical Domain Models
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Tutorial Dialog in an Equation Solving Intelligent Tutoring System
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Evaluating Predictions of Transfer and Analyzing Student Motivation
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Using Association Rules to Guide a Search for Best Fitting Transfer Models of Student Learning
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Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems
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Collaborative Warrior Tutoring
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Developing an Affordable Authoring Tool For Intelligent Tutoring Systems
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Towards Teachers Quickly Creating Tutoring Systems
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Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems
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The Common Tutor Object Platform
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The Assistment Builder: A tool for rapid tutor development
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Tools to help build models that predict student learning
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Developing a Cognitive Rule-Based Tutor for the ASSISTment System
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Measuring Student Engagement in an Intelligent Tutoring System
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Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems
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Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages
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Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System
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Responding to Moments of Learning
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Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access
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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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Leveraging Influential Factors into Bayesian Knowledge Tracing
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An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System
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Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?
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Improving Educational Content: A Web-based Intelligent Tutoring System with Support for Teacher Collaboration
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Boredom and student modeling in intelligent tutoring systems
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Refining Learning Maps with Data Fitting Techniques
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Enhancing Personalization Within ASSISTments
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Student Modeling From Different Aspects
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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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Improvements on Trained Across Multiple Experiments (TAME), a New Method for Treatment Effect Detection
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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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Developing Automated Audio Assessment Tools for a Chinese Language Course
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Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Examining Student Effort on Hint through Response Time Decomposition
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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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