Natural Language Generation for Intelligent Tutoring Systems: a case study

Frontiers in Artificial Intelligence and Applications

Volumn 125, Issue , 2005, Pages 217-224

  Di Eugenio, Barbara ^a   Fossati, Davide ^a   Yu, Dan ^a   Haller, Susan ^b   Glass, Michael ^c  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b UNIVERSITY OF WISCONSIN PARKSIDE   (United States)

^c VALPARAISO UNIVERSITY   (United States)

Author keywords

Feedback Generation; Intelligent Tutoring Systems

Indexed keywords

EDUCATION COMPUTING; NATURAL LANGUAGE PROCESSING SYSTEMS;

ABSTRACT LEVELS; CASE-STUDIES; FEEDBACK GENERATION; INTELLIGENT TUTORING; INTELLIGENT TUTORING SYSTEM; NATURAL LANGUAGE GENERATION; NATURAL LANGUAGES; ORIGINAL SYSTEMS; TUTORING SYSTEM;

COMPUTER AIDED INSTRUCTION;

EID: 85139026724     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (17)

1. Penelope Brown and Stephen Levinson. Politeness: Some Universals in Language Usage. Studies in Interactional Sociolinguistics. Cambridge University Press, 1987.
2. Michelene T. H. Chi, Stephanie A. Siler, Takashi Yamauchi, and Robert G. Hausmann. Learning from human tutoring. Cognitive Science, 25:471-533, 2001.
3. B. Di Eugenio, D. Fossati, D. Yu, S. Haller, and M. Glass. Aggregation improves learning: experiments in natural language generation for intelligent tutoring systems. In ACL05, Proceedings of the 42nd Meeting of the Association for Computational Linguistics, 2005.
4. M. W. Evens, J. Spitkovsky, P. Boyle, J. A. Michael, and A. A. Rovick. Synthesizing tutorial dialogues. In Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, pages 137-140, Hillsdale, New Jersey, 1993. Lawrence Erlbaum Associates.
5. M. Glass, H. Raval, B. Di Eugenio, and M. Traat. The DIAG-NLP dialogues: coding manual. Technical Report UIC-CS 02-03, University of Illinois - Chicago, 2002.
6. A.C. Graesser, N. Person, Z. Lu, M.G. Jeon, and B. McDaniel. Learning while holding a conversation with a computer. In L. PytlikZillig, M. Bodvarsson, and R. Brunin, editors, Technology-based education: Bringing researchers and practitioners together. Information Age Publishing, 2005.
7. Susan Haller and Barbara Di Eugenio. Minimal text structuring to improve the generation of feedback in intelligent tutoring systems. In FLAIRS 2003, the 16th International Florida AI Research Symposium, St. Augustine, FL, May 2003.
8. Trude Heift. Error-specific and individualized feedback in a web-based language tutoring system: Do they read it? ReCALL Journal, 13(2):129-142, 2001.
9. Benoît Lavoie and Owen Rambow. A fast and portable realizer for text generation systems. In Proceedings of the Fifth Conference on Applied Natural Language Processing, 1997.
10. D. J. Litman, C. P. Rosé, K. Forbes-Riley, K. VanLehn, D. Bhembe, and S. Silliman. Spoken versus typed human and computer dialogue tutoring. In Proceedings of the Seventh International Conference on Intelligent Tutoring Systems, 2004.
11. Johanna D. Moore, Kaska Porayska-Pomsta, Sebastian Varges, and Claus Zinn. Generating tutorial feedback with affect. In Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004.
12. S. Peters, E. Owen Bratt, B. Clark, H. Pon-Barry, and K. Schultz. Intelligent systems for training damage control assistants. In Proceedings of I/ITSEC 2004, Interservice/Industry Training, Simulation, and Education Conference, 2004.
13. Mike Reape and Chris Mellish. Just what is aggregation anyway? In Proceedings of the European Workshop on Natural Language Generation, Toulouse, France, 1998.
14. C. P. Rosé, D. Bhembe, S. Siler, R. Srivastava, and K. VanLehn. Exploring the effectiveness of knowledge construction dialogues. In AIED03, Proceedings of AI in Education, 2003.
15. James Shaw. A corpus-based analysis for the ordering of clause aggregation operators. In COLING02, Proceedings of the 19th International Conference on Computational Linguistics, 2002.
16. Douglas M. Towne. Approximate reasoning techniques for intelligent diagnostic instruction. International Journal of Artificial Intelligence in Education, 1997.
17. Michael White and Ted Caldwell. Exemplars: A practical, extensible framework for dynamic text generation. In Proceedings of the Ninth International Workshop on Natural Language Generation, pages 266-275, 1998.