
Educational Application of Dialogue System to Support e-Learning
PROCEEDINGS
Chul-Hwan Lee, Sun-Gwan Han, Young-Gi Kim, Inchon National University of Education
EdMedia + Innovate Learning, in Denver, Colorado, USA ISBN 978-1-880094-45-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
This study is on the design and implementation of an educational dialogue system to support e-Learning. The learning domain to apply the dialogue system used the subject of the geometry. The knowledge in dialogue-based system for learning the geometry was created and represented by XML-based AIML. Implemented system in this study can understand the student's context of the dialogue. Moreover the dialogue system can answer the student's question by referring and saving the previous knowledge while having a conversation with a student. To refer and save a student's state of knowledge, we used an overlay student model in this system. Finally, we evaluated an educational dialogue system to test the efficiency of the designed and implemented system with geometry learning.
Citation
Lee, C.H., Han, S.G. & Kim, Y.G. (2002). Educational Application of Dialogue System to Support e-Learning. In P. Barker & S. Rebelsky (Eds.), Proceedings of ED-MEDIA 2002--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 984-989). Denver, Colorado, USA: Association for the Advancement of Computing in Education (AACE). Retrieved May 16, 2022 from https://www.learntechlib.org/primary/p/10755/.
© 2002 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Anderson, J. (1983) Acquisition of proof skills in geometry, Morgan Kauffman.
- Bates, J. (1994). The Role of Emotion in Believable Agents, Technical Report CMU-CS-94-136, School of Computer Science, Carnegie Mellon University, April 1994. Also to appear in Communications of the ACM, Special Issue on Agents, July 1994.
- Biermann, A.W. Et al. (1983). An experimental study of natural language, International Journal of ManMachine Studies 18, 71–87.
- Boyce, S.J. (2000). Natural Spoken Dialogue Systems for Telephony Applications, Communications of the ACM, Vol. 43, No. 9, 29–34.
- Burns, H. Parlett, J. Redfield, C.(1991) Intelligent tutoring System: Evolution in design, Lawrence Erlbaum.
- Hauptman, A.G. And Green, B.F. (1981). A comparison of command, menu selection and natural language computer programs, Behaviour and Information Technology, Vol. 2, No. 2, 163–178.
- Kelley, J.F. (1983). An empirical methodology for writing user-friendly natural-language computer applications, Proceedings of the CHI ’83 Conference on Human Factors in Computing Systems, ACM, New York, 193–196.
- Mandl, H. Lesgold, A.(1988) Learning issues for intelligent tutoring systems, Springer-Verlag.
- Mykowiecka, A. (1991). Natural language generation– an overview, International Journal of ManMachine Studies 34, 497–511.
- Patrick J. Ryan, (1986) Euclidean and non-Euclidean geometry, Cambridge university press.
- Turing, A.M. (1950). Computing machinery and intelligence, Mind, Vol. 59, No. 236, 433–460.
- Wallace, R.S. (2000). Don’t read me-A.L.I.C.E. And AIML documentation, available online 4.
- Weizenbaum, J. (1965). Eliza-a computer program for the study of natural language communication
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