Improving Automated Assessment for Student Open-responses in Mathematics

Examining Student Effort on Hint through Response Time Decomposition

Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments

Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP

Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data

Developing Automated Audio Assessment Tools for a Chinese Language Course

The effect of prompted self-revision on student performance in the context of open-ended problems using Randomized Control Trials

Improvements on Trained Across Multiple Experiments (TAME), a New Method for Treatment Effect Detection

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

Student Modeling From Different Aspects

Enhancing Personalization Within ASSISTments

Refining Learning Maps with Data Fitting Techniques

Boredom and student modeling in intelligent tutoring systems

Improving Educational Content: A Web-based Intelligent Tutoring System with Support for Teacher Collaboration

Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?

An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System

Leveraging Influential Factors into Bayesian Knowledge Tracing

A Graph Theoretic Clustering Algorithm based on the Regularity Lemma and Strategies to Exploit Clustering for Prediction

Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access