1. An evaluation agent that simulates students’ behavior in Intelligent Tutoring Systems Maria Virvou, Konstantinos Manos, George Katsiwnis Department of Informatics University of Piraeus

2. Introduction Risk – Free Evaluation!

3. Evaluation Agent’s Reasoning Purpose: Simulate a student in an ITS Needed Material: A student’s digital image Temperamental Model: Student’s reaction in the VR-Environment of the ITS Cognitive Model: Student’s mental capabilities and knowledge level of the domain

4. Temperamental Model The student’s behavior is related to the way s/he plays the educational game in the virtual world In the game, one must fight one’s way through using one’s knowledge

5. Temperamental Data The way a user walks around the virtual world Familiarity with the computer Time to answer a question (speed) Pausing time after response (surprise) Corrections before answer (certainty) Unclear mouse moves (concentration) Determination  Speed + Certainty

6. Cognitive Model The level of student’s knowledge The student’s retention capabilities Cause of error(typographic,spelling…) Ebbinghaus Forgetting Model

7. Authoring Process’ Teacher VR-Integate VR-Engage Knowledge Base Agent Model AModel BModel CModel D

8. Conclusions Both Temperamental and Cognitive data are used to simulate students Feedback for the efficiency of the educational software can be received during the design process Students do not face possible design mistakes of the author, since these can be spotted and corrected beforehand