STEPS: a simulated, tutorable physics student
Journal of Artificial Intelligence in Education
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A novel application of theory refinement to student modeling
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
All of Statistics: A Concise Course in Statistical Inference
All of Statistics: A Concise Course in Statistical Inference
What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data
UM '07 Proceedings of the 11th international conference on User Modeling
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Comparing Two IRT Models for Conjunctive Skills
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Applying Learning Factors Analysis to Build Stereotypic Student Models
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
To Elicit Or To Tell: Does It Matter?
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Detecting the Learning Value of Items In a Randomized Problem Set
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
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
Setting up user action probabilities in user simulations for dialog system development
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Authoring Model-Tracing Cognitive Tutors
International Journal of Artificial Intelligence in Education
Looking beyond transfer models: finding other sources of power for student models
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Using contextual factors analysis to explain transfer of least common multiple skills
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Human-machine student model discovery and improvement using DataShop
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Evaluating and improving adaptive educational systems with learning curves
User Modeling and User-Adapted Interaction
Assessing user simulation for dialog systems using human judges and automatic evaluation measures
Natural Language Engineering
Using data mining findings to aid searching for better cognitive models
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
A review of recent advances in learner and skill modeling in intelligent learning environments
User Modeling and User-Adapted Interaction
Mapping question items to skills with non-negative matrix factorization
ACM SIGKDD Explorations Newsletter
Probability estimation and a competence model for rule based e-tutoring systems
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
Knowledge component suggestion for untagged content in an intelligent tutoring system
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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A cognitive model is a set of production rules or skills encoded in intelligent tutors to model how students solve problems. It is usually generated by brainstorming and iterative refinement between subject experts, cognitive scientists and programmers. In this paper we propose a semi-automated method for improving a cognitive model called Learning Factors Analysis that combines a statistical model, human expertise and a combinatorial search. We use this method to evaluate an existing cognitive model and to generate and evaluate alternative models. We present improved cognitive models and make suggestions for improving the intelligent tutor based on those models.