Abstract
The Tutoring Research Group at the University of Memphis is developing an intelligent tutoring system which takes advantages of recent technological advances in the areas of semantic processing of natural language, world knowledge representation, multimedia interfaces, and fuzzy descriptions. The tutoring interaction is based on in-depth studies of human tutors, both skilled and unskilled. Latent semantic analysis will be used to semantically process and provide a representation for the student’s contributions. Fuzzy production rules select appropriate topics and tutor dialogue moves from a rich curriculum script. The production rules will implement a variety of different tutoring styles, from a basic untrained tutor to one which uses sophisticated pedagogical strategies. The tutor will be evaluated on the naturalness of its interaction, with Turing-style tests, by comparing different tutoring styles, and by judging learning outcomes.
The Tutoring Research Group includes Stan Franklin, Max Garzon, Barry Gholson, Doug Hacker, Xiangen Hu, Roger Kreuz, Bill Marks, Natalie Person, Fergus Nolan, Ashraf Anwar, Myles Bogner, Derek Harter, Lee McCauley, Zhaohua Zhang, Jim Hoeffner, Bianca Klettke, Kristen Link, Brent Olde, Victoria Pomeroy, Katja Wiemer- Hastings, Holly Yetman, Scotty Craig, Patrick Chipman, Melissa Ring, Charles Webster and the authors. This project is supported by grant number SBR9720314 from the National Science Foundation’s Learning and Intelligent Systems Unit.
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Wiemer-Hastings, P., Graesser, A.C., Harter, D., Tutoring Research Group. (1998). The Foundations and Architecture of Autotutor. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds) Intelligent Tutoring Systems. ITS 1998. Lecture Notes in Computer Science, vol 1452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68716-5_39
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