Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Procedural help in Andes: generating hints using a Bayesian network student model
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Adaptive Assessment Using Granularity Hierarchies and Bayesian Nets
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Two-Phase Updating of Student Models Based on Dynamic Belief Networks
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Experiences in Implementing Constraint-Based Modeling in SQL-Tutor
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Providing Feedback to Equation Entries in an Intelligent Tutoring System for Physics
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Incremental tradeoff resolution in qualitative probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation
User Modeling and User-Adapted Interaction
Constraint-Based Tutors: A Success Story
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Probabilistic Student Modelling to Improve Exploratory Behaviour
User Modeling and User-Adapted Interaction
An Intelligent SQL Tutor on the Web
International Journal of Artificial Intelligence in Education
Introducing prerequisite relations in a multi-layered bayesian student model
UM'05 Proceedings of the 10th international conference on User Modeling
Fifteen years of constraint-based tutors: what we have achieved and where we are going
User Modeling and User-Adapted Interaction
An empirical study on the quantitative notion of task difficulty
Expert Systems with Applications: An International Journal
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Bayesian networks have been used in Intelligent Tutoring Systems (ITSs) for both short-term diagnosis of students' answers and for longer-term assessment of a student's knowledge. Bayesian networks have the advantage of a firm theoretical foundation, in contrast to many existing, ad-hoc approaches. In this paper we argue that Bayesian nets can offer much more to an ITS, and we give an example of how they can be used for selecting problems. Similar approaches may be taken to automating many kinds of decision in ITSs.