A Bayesian model of plan recognition
Artificial Intelligence
The phenotype of erroneous actions
International Journal of Man-Machine Studies
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
Hierarchical Representation and Evaluation of the Student in an Intelligent Tutoring System
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Modelling the Knowledge-Based Components of a Learning Environment within the Task/Method Paradigm
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
A plan recognition process, based on a task model, for detecting learner's erroneous actions
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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When a trainer aims to provide trainees with appropriate help and assistance, she/he needs to know what errors the trainee is making and furthermore what causes lead to these errors. In this paper, we propose a mechanism which infers the underlying causes that lead to the production of the trainee's erroneous action in order to support the trainer in her/his monitoring activity. This mechanism is based on and uses CREAM, a second-generation method of Human Reliability Analysis (HRA). We implement this mechanism by using Dempster-Shafer's theory.