Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applications of AI in education
Crossroads - Special issue on artificial intelligence
Multistrategy Discovery and Detection of Novice Programmer Errors
Machine Learning - Special issue on multistrategy learning
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Building a Stochastic Dynamic Model of Application Use
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Probabilistic Student Modelling to Improve Exploratory Behaviour
User Modeling and User-Adapted Interaction
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Automated email activity management: an unsupervised learning approach
Proceedings of the 10th international conference on Intelligent user interfaces
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
Knowledge-Based Systems
Automatic recognition of learner groups in exploratory learning environments
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
Knowledge-Based Systems
Automatic Construction of a Bug Library for Object-Oriented Novice Java Programmer Errors
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Discovering frequent work procedures from resource connections
Proceedings of the 14th international conference on Intelligent user interfaces
Using eye-tracking data for high-level user modeling in adaptive interfaces
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Hybridization of Evolutionary Mechanisms for Feature Subset Selection in Unsupervised Learning
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
A framework for adapting interactive systems to user behavior
Journal of Ambient Intelligence and Smart Environments
Performance comparison of item-to-item skills models with the IRT single latent trait model
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Expert Systems with Applications: An International Journal
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In this research, we outline a user modeling framework that uses both unsupervised and supervised machine learning in order to reduce development costs of building user models, and facilitate transferability. We apply the framework to model student learning during interaction with the Adaptive Coach for Exploration (ACE) learning environment (using both interface and eye-tracking data). In addition to demonstrating framework effectiveness, we also compare results from previous research on applying the framework to a different learning environment and data type. Our results also confirm previous research on the value of using eye-tracking data to assess student learning.