Knowledge assessment using fuzzy conceptual representation

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Knowledge assessment using fuzzy conceptual representation

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Symposium on Applied Computing archive
Proceedings of the 1997 ACM symposium on Applied computing table of contents

San Jose, California, United States

Pages: 3 - 9

Year of Publication: 1997

ISBN:0-89791-850-9

Authors

Perry C. Cheng	The Hong Kong Polytechnic University, Department of Computing
Danny Kilis	The Hong Kong Polytechnic University, Department of Computing
Graeme Knight	The Hong Kong Polytechnic University, Department of Computing

Sponsors

SIGCUE: ACM Special Interest Group on Computer Uses In Education
SIGADA: ACM Special Interest Group on Ada Programming Language
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBIO: ACM Special Interest Group on Biomedical Computing

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	William J. Clancey, Knowledge-based tutoring: the GUIDON program, MIT Press, Cambridge, MA, 1987
	2	P.R. Cohen and M. R. Grinberg. A Theory of Heuristic Reasoning About Uncertainty. AI Magazine, pages 17-24, summer, 1983.
	3	C. Conati and K. VanLehn. POLA: A Student Modeling Framework for Probabilistics On-line Assessment of Problem Solving Performance. In Proceedings of UM-96, Fifth International Conference on User .ltodeling.
	3	M. Elsom-Cook and F. Spensley. A Tutor for Procedural Skills. In Guided Discovery Tutoring- A Framework for ICAI Research, pages 57-69, London. Paul Chapman Publishing Co.
	5	Joseph C. Giarratano , Gary Riley, Expert Systems: Principles and Programming, PWS Publishing Co., Boston, MA, 1994
	6	J. Gordon and E. Shortliffe. The Dempster-Shafer theory of evidence. In B. Buchanan and E. Shortliffe, (eds.) Rule based systems. MenIo Park, California, Addison- Wesley, 1983.
	7	C. Herzog and M. Gonschorek. Generation of Adaptive Explanations in ITS with Hierarchical Knowledge Domains. In Proceedings of International Conference on Computers in Education, pages 1-6, 1993.
	8	D. Kills and C.Y. Chau. An Intelligent Tutoring System for Formal Education. in Proceedings of International Conference on Information Systems Analysis and Synthesis, pages 307-313, 1996.
	9	D. Kopec and R.B. Thompson, (eds.) Arttficial Intelligence and Intelligent Tutoring Systems: Knowledge- Based Systems for Teaching and Learning. Ellis Horwood, West Sussex, England, 1992.
	10	N. Major. Reconstructing Teaching Strategies with COCA. In Arttficial Intelligence in Education: Proceedings of AI-ED 93, pages 66 - 73, 1993.
	11	N. Major. REDEEM: Creating Reusable Intelligent Courseware. In Artificial Intelligence in Education: Proceedings of AI-ED 95, 1995.
	12	M. Minsky. A Framework for Representing Knowledge. In R.J. Brachman and H.J. Levesque (eds.) Readings in Knowledge Representation, pages 245-262, Los Altos, CA, Morgan Kaufmann, 1985.
	13	Valery A. Petrushin and Katherine M. Sinitsa. Using Probabilistic Reasoning Techniques for Learner Modelling. In Artificial Intelligence in Education: Proceedings of AI-ED 93, pages 66-73, 1993.
	14	Han Reichgelt , Nigel Shadbolt, Knowledge Representation: An AI Perspective, Greenwood Publishing Group Inc., Westport, CT, 1991
	15	Roger Schank. Reminding and Memory Organization: An Introduction to MOPs. In W.G. Lehnert and M.H. Ringle, Strategies for Natural Language Processing, pages 455-493, Hillsdale, N J, L. Erlbaum Associates, 1982.
	16	Julie-Ann Sime. Modelling a Learner's Multiple Models with Bayesian Belief Network. In Artificial intelligence in Education: Proceedings of AI-ED 93, pages 426-432, 1993.
	17	Manfred Thiel, Weighted parsing, Natural language parsing systems, Springer-Verlag, London, 1987
	18	Claire E. Weinstein and Richard E. Mayer. The Teaching of Learning Strategies. In M.C. Wittrock, (ed.) Handbook of Research on Teaching, pages 315-327, New York, MacMillan Publishing Co., 1986.
	19	Lotfi A. Zadeh. Fuzzy Sets. Information and Control, pages 338-353, Vol. 8, 1965.