Applications of simulated students: an exploration
Journal of Artificial Intelligence in Education
Student assessment using Bayesian nets
International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor
User Modeling and User-Adapted Interaction
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
Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Using a Probabilistic Student Model to Control Problem Difficulty
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Adaptive Bayesian Networks for Multilevel Student Modelling
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Conceptual and Meta Learning During Coached Problem Solving
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor
User Modeling and User-Adapted Interaction
Probabilistic Student Modelling to Improve Exploratory Behaviour
User Modeling and User-Adapted Interaction
Bayesian networks in educational testing
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Personalized multi-student improvement based on Bayesian cybernetics
Computers & Education
SIETTE: A Web-Based Tool for Adaptive Testing
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
Tradeoff analysis between knowledge assessment approaches
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Affectively Intelligent User Interfaces for Enhanced E-Learning Applications
HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
International Journal of Human-Computer Studies
Applying computational science techniques to support adaptive learning
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Affective user modeling for adaptive intelligent user interfaces
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
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
Computerized evaluation and diagnosis of student's knowledge based on Bayesian networks
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Student modeling and assessment in intelligent tutoring of software patterns
Expert Systems with Applications: An International Journal
Bayesian network to manage learner model in context-aware adaptive system in mobile learning
Edutainment'11 Proceedings of the 6th international conference on E-learning and games, edutainment technologies
Learning students' learning patterns with support vector machines
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Introducing prerequisite relations in a multi-layered bayesian student model
UM'05 Proceedings of the 10th international conference on User Modeling
Computer adaptive testing: comparison of a probabilistic network approach with item response theory
UM'05 Proceedings of the 10th international conference on User Modeling
Student modeling with atomic bayesian networks
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
Using Bayesian networks to improve knowledge assessment
Computers & Education
Review: Student modeling approaches: A literature review for the last decade
Expert Systems with Applications: An International Journal
| Hi-index | 0.01 |
In this paper, we present a new approach to diagnosis in student modeling based on the use of Bayesian Networks and Computer Adaptive Tests. A new integrated Bayesian student model is defined and then combined with an Adaptive Testing algorithm. The structural model defined has the advantage that it measures students' abilities at different levels of granularity, allows substantial simplifications when specifying the parameters (conditional probabilities) needed to construct the Bayesian Network that describes the student model, and supports the Adaptive Diagnosis algorithm. The validity of the approach has been tested intensively by using simulated students. The results obtained show that the Bayesian student model has excellent performance in terms of accuracy, and that the introduction of adaptive question selection methods improves its behavior both in terms of accuracy and efficiency.