Applications of simulated students: an exploration
Journal of Artificial Intelligence in Education
Procedural help in Andes: generating hints using a Bayesian network student model
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Using Decision Trees for Agent Modeling: Improving Prediction Performance
User Modeling and User-Adapted Interaction
Using a Learning Agent with a Student Model
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Afterword: from this revolution to the next
Smart machines in education
Directing Development Effort with Simulated Students
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
A Framework for the Initialization of Student Models in Web-based Intelligent Tutoring Systems
User Modeling and User-Adapted Interaction
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Inducing High-Level Behaviors from Problem-Solving Traces Using Machine-Learning Tools
IEEE Intelligent Systems
Cluster-based predictive modeling to improve pedagogic reasoning
Computers in Human Behavior
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
Predicting High-level Student Responses Using Conceptual Clustering
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
Expert Systems with Applications: An International Journal
Building group recommendations in e-learning systems
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Classifying dialogue in high-dimensional space
ACM Transactions on Speech and Language Processing (TSLP)
Using a user-interactive QA system to capture student’s interest and authority about course content
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Predicting correctness of problem solving in ITS with a temporal collaborative filtering approach
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Building group recommendations in e-learning systems
Transactions on Computational Collective Intelligence VII
Proceedings of the 17th Panhellenic Conference on Informatics
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We have constructed a learning agent that models student behavior at a high level of granularity for a mathematics tutor. Rather than focusing on whether the student knows a particular piece of knowledge, the learning agent determines how likely the student is to answer a problem correctly and how long he will take to generate this response. To construct this model, we used traces from previous users of the tutor to train the machine learning agent. This agent used information about the student, the current topic, the problem, and the student's efforts to solve this problem to make its predictions. This model was very accurate at predicting the time students required to generate a response, and was somewhat accurate at predicting the likelihood the student's response was correct. We present two methods for integrating such an agent into an intelligent tutor.