Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A model for reasoning about persistence and causation
Computational Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Pruning bayesian networks for efficient computation
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
Probabilistic Student Models: Bayesian Belief Networks and Knowledge Space Theory
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
A Belief Net Backbone for Student Modelling
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Inspecting and Visualizing Distributed Bayesian Student Models
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Bringing chatbots into education: Towards natural language negotiation of open learner models
Knowledge-Based Systems
A multifactor approach to student model evaluation
User Modeling and User-Adapted Interaction
Identifiability: A Fundamental Problem of Student Modeling
UM '07 Proceedings of the 11th international conference on User Modeling
Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
A Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
Factors influencing the performance of Dynamic Decision Network for INQPRO
Computers & Education
Automatic detection of learning styles for an e-learning system
Computers & Education
Semantic networks -based teachable agents in an educational game
WSEAS Transactions on Computers
Teachable characters: semantic neural networks in game AI
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Self-organizing content management with semantic neural networks
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Tradeoff analysis between knowledge assessment approaches
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Intelligent Pedagogical Action Selection under Uncertainty
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Machine learning based learner modeling for adaptive web-based learning
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Bayesian networks for student model engineering
Computers & Education
An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts
User Modeling and User-Adapted Interaction
International Journal of Artificial Intelligence in Education
Ensembling predictions of student knowledge within intelligent tutoring systems
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
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
Statistical relational learning in student modeling for intelligent tutoring systems
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Predictive student model supported by fuzzy-causal knowledge and inference
Expert Systems with Applications: An International Journal
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
Modeling individualization in a bayesian networks implementation of knowledge tracing
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
A bayes net toolkit for student modeling in intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Improving intelligent tutoring systems: using expectation maximization to learn student skill levels
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Adaptable scaffolding – a fuzzy approach
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A review of recent advances in learner and skill modeling in intelligent learning environments
User Modeling and User-Adapted Interaction
The sum is greater than the parts: ensembling models of student knowledge in educational software
ACM SIGKDD Explorations Newsletter
Learning what works in its from non-traditional randomized controlled trial data
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
Intelligent Decision Technologies - Special issue on Multimedia/Multimodal Human-Computer Interaction in Knowledge-based Environments
User Modeling and User-Adapted Interaction
Model of conceptual change for INQPRO: A Bayesian Network approach
Computers & Education
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Belief networks provide an important way to represent and reason about uncertainty - significant factors for modelling students. These networks provide a way of structuring such models, and allow a system to use a systematic approach when gathering information about the scope of the student's knowledge. This work also provides a theoretically-sound way to update the student model, based on the concept of a dynamic belief network. The relationship to related research is discussed. Finally, the paper describes why the barren node concept is important for computational efficiency in belief-net-based student models.