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FeGA: A feedback-generating agent

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Author: Heuvelink, A. · Mioch, T.
Institution: TNO Defensie en Veiligheid · DenV
Source:2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 , 9 December 2008 through 12 December 2008, Sydney, NSW, 75559
Identifier: 181420
doi: doi:10.1109/WIIAT.2008.271
Article number: 4740685
Keywords: Informatics · Time series · Current simulations · Error modeling · Multi agents · Plan recognition · Student behaviors · System use · Task performance · Training systems · Students


In current simulation-based training of knowledgeintensive tasks, human instructors are needed to evaluate a student's task performance. This paper reports a study into the development of a multi-agent-based training system that evaluates student behavior at the result-level (quality of performance) and at the process-level (appropriateness of taken approach). The system uses expert and error modeling as well as plan recognition to evaluate and diagnose the student behavior. Furthermore, it keeps track of this behavior over time and generates feedback on the student's task performance after either one trial or a series of trials. Exploratory results suggest that the system can correctly diagnose the behavior of students. © 2008 IEEE.