Automated advice-giving strategies for scientific inquiry

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1086, Issue , 1996, Pages 372-381

  Paoluccit, M ^a   Slithers, D ^a   Weiner, A ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; KNOWLEDGE BASED SYSTEMS; SYNTACTICS;

ADVICE GIVING; KNOWLEDGE BASE; SCIENTIFIC INQUIRY;

STUDENTS;

EID: 84949961009     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61327-7_135     Document Type: Conference Paper

References (15)

1. M. W. Browne. Galapagos mystery solved: Fauna evolved on vanished isles. Science Times, the NY Times, January 21 1992.
2. T.W. Chan and A.B. Baskin. Studying with the prince: The computer as a learning companion. In Proceedings of the International Conference on Intelligent Tutoring Systems, pages 194-200,1988.
3. M.T.H. Chi, M. Bassok, M. Lewis, P. Reimann, and R. Glaser. Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13:145-182,1989.
4. C. Chinn and W. Brewer. Factors that influence how people respond to anomalous data. In Proc. 15th Annual Conf. of the Cognitive Science Society, pages 318-323, Hillsdale, NJ: Lawrence Erlbaum, 1993.
5. W. J. Clancey. Guidon-manage revised: A socio-technical systems approach. In Intelligent Tutoring Systems, pages 21-36,1992.
6. J. Klayman and Y.-W. Ha. Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94:211-228,1987.
7. D. K. O’Neill and L. M. Gomez. The collaboratory notebook: A distributed knowledge-building environment for project-enhanced learning. In Proceedings of Ed-Media ‘94, pages 416-423, Vancouver, BC, June 1994. Charlottesville, VA: Association for the Advancement of Computing in Education.
8. L. Resnick and M.T.H. Chi. Cognitive psychology and science learning. In M. Druger, editor, Science for the Fun of it: A Guide to Informal Science Education, pages 24-31. National Science Teachers Association, 1988.
9. J. Roschell. Designing for cognitive communication: Epistemic fidelity or mediating collaborative inquiry? The Arachnet Electronic Journal on Virtual Culture, 2(2), 1994.
10. R. E. Slavin. Cooperative Learning: Theory, Research, and Practice. Prentice-Hall, Englewood Cliffs, NJ, 1990.
11. D. Suthers. Preferences for model selection in explanation. In Proc. 13th International Joint Conference on Artificial Intelligence (IJCAI-93), pages 1208-1213, Chambery, France, August 1993.
12. D. Suthers and A. Weiner. Groupware for developing critical discussion skills. In CSCL ‘95, Computer Supported Collaborative Learning, pages 341-348, Bloom-ington, Indiana, October 1995.
13. D. Suthers, A. Weiner, J. Connelly, and M. Paolucci. Belvedere: Engaging students in critical discussion of science and public policy issues. In AI-Ed 95, the 7th World Conference on Artificial Intelligence in Education, pages 266-273, Washington, D.C., August 1995.
14. R. H. Thomason. Netl and subsequent path-based inheritance theories. Computers Math. Applic, 23(2-5): 179-204,1992.
15. Noreen Webb. Peer interaction and learning in small groups. International Journal of Education Research, 13:21-40,1989.