Student assessment using Bayesian nets
International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
Cognitive Computer Tutors: Solving the Two-Sigma Problem
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
An empirical comparison of supervised learning algorithms
ICML '06 Proceedings of the 23rd international conference on Machine learning
Modeling and understanding students' off-task behavior in intelligent tutoring systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Developing a generalizable detector of when students game the system
User Modeling and User-Adapted Interaction
About the relationship between ROC curves and Cohen's kappa
Engineering Applications of Artificial Intelligence
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor
International Journal of Artificial Intelligence in Education
Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Performance Factors Analysis --A New Alternative to Knowledge Tracing
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
How diagram interaction supports learning: evidence from think alouds during intelligent tutoring
Diagrams'10 Proceedings of the 6th international conference on Diagrammatic representation and inference
Towards predicting future transfer of learning
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Contextual slip and prediction of student performance after use of an intelligent tutor
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Detecting the moment of learning
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Treemaps to visualise and navigate speech audio
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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Recent research has extended student modeling to infer not just whether a student knows a skill or set of skills, but also whether the student has achieved robust learning --- learning that leads the student to be able to transfer their knowledge and prepares them for future learning (PFL). However, a student may fail to have robust learning in two fashions: they may have no learning, or they may have shallow learning (learning that applies only to the current skill, and does not support transfer or PFL). Within this paper, we present an automated detector which is able to identify shallow learners, who are likely to need different intervention than students who have not yet learned at all. This detector is developed using a step regression approach, with data from college students learning introductory genetics from an intelligent tutoring system.