FeGA: A feedback-generating agent
conference paper
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.
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.
Topics
TNO Identifier
181420
ISBN
9780769534961
Article nr.
4740685
Source title
2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT
2008 , 9 December 2008 through 12 December 2008, Sydney, NSW, 75559
2008 , 9 December 2008 through 12 December 2008, Sydney, NSW, 75559
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