The Role of Intelligent Tutoring Systems in Education: An Overview of AutoTutor
PROCEEDINGS
Max Louwerse, Art Graesser, Xiangen Hu, University of Memphis, United States ; Natalie Person, Rhodes College, United States
Society for Information Technology & Teacher Education International Conference, in Nashville, Tennessee, USA ISBN 978-1-880094-44-0 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
Intelligent Tutoring Systems have become more common in education nowadays. AutoTutor is one such system. It uses a world knowledge representation, natural language processing, production scripts and a conversational interface. By assisting students in actively constructing knowledge, AutoTutor shows close to natural didactic and conversational skills. Not only is the system beneficial for both students and teachers, it also helps to test hypotheses in various interdisciplinary fields and generates various new research questions, thus playing an important role in education.
Citation
Louwerse, M., Graesser, A., Hu, X. & Person, N. (2002). The Role of Intelligent Tutoring Systems in Education: An Overview of AutoTutor. In D. Willis, J. Price & N. Davis (Eds.), Proceedings of SITE 2002--Society for Information Technology & Teacher Education International Conference (pp. 2056-2057). Nashville, Tennessee, USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 14, 2024 from https://www.learntechlib.org/primary/p/17579/.
Keywords
References
View References & Citations Map- RAND Reading Study Group (2001). Reading for understanding: Toward a research and development program in reading comprehension. Office of Educational Research and Improvement (OERI), U.S. Department of Education (MR-1465.0).
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