Operations Research
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fundamental concepts of qualitative probabilistic networks
Artificial Intelligence
Student assessment using Bayesian nets
International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
Structural Knowledge: Techniques for Representing, Conveying, and Acquiring Structural Knowledge
Structural Knowledge: Techniques for Representing, Conveying, and Acquiring Structural Knowledge
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
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
Adaptive Assessment Using Granularity Hierarchies and Bayesian Nets
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Using Meta-cognitive Conflicts to Support Group Problem Solving
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Meme Media and Meme Pools for Re-editing and Redistributing Intellectual Assets
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Bringing chatbots into education: Towards natural language negotiation of open learner models
Knowledge-Based Systems
Understanding the Utility of Rationale in a Mixed-Initiative System for GUI Customization
UM '07 Proceedings of the 11th international conference on User Modeling
Does 'Notice' Prompt Noticing? Raising Awareness in Language Learning with an Open Learner Model
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
A Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory
International Journal of Artificial Intelligence in Education
Bayesian networks: A teacher's view
International Journal of Approximate Reasoning
Some Unusual Open Learner Models
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
On Using Learning Curves to Evaluate ITS
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
The Effect of Open Student Model on Learning: A Study
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Automatically Generated Inspectable Learning Models for Students
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
A model of learners profiles management process
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Belief Exploration in a Multiple-Media Open Learner Model for Basic Harmony
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Ontological technologies for user modelling
International Journal of Metadata, Semantics and Ontologies
Evaluating and improving adaptive educational systems with learning curves
User Modeling and User-Adapted Interaction
The effect of adapting feedback generality in ITS
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Predictive student model supported by fuzzy-causal knowledge and inference
Expert Systems with Applications: An International Journal
Using learning curves to mine student models
UM'05 Proceedings of the 10th international conference on User Modeling
Interfaces for inspectable learner models
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Features of an independent open learner model influencing uptake by university students
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Towards teaching metacognition: supporting spontaneous self-assessment
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
INGRID: a web service tool for hierarchical open learner model visualization
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Preferred features of open learner models for university students
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Virtual butler: what can we learn from adaptive user interfaces?
Your Virtual Butler
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Inspectable student models focus on the idea of letting students and teachers interact with the representation of the student that the system maintains. Both humans and the system can benefit from this interaction. By externalizing the student model and making it an object for inspection, several representational and interaction issues arise. This paper presents ViSMod (Visualization of Bayesian Student Models) an integrated tool to visualize and inspect distributed Bayesian student models. Using ViSMod, students and teachers can understand, explore, inspect, and modify Bayesian student models. ViSMod offers a practical tool that helps students and teachers to engage in negotiated assessment processes. Student models in ViSMod follow the Bayesian belief net backbone structure proposed by Reye (1996), which describes both cognitive and social aspects of the student. In addition, we report on a usability study of the ViSMod tool and an exploratory study focused on the effects of employing various levels of guidance and support in the way students interact with inspectable Bayesian student models.