Explicit reflection in prolog-tutor

International Journal of Artificial Intelligence in Education

Volumn 17, Issue 2, 2007, Pages 169-215

  Tchetagni, Josephine ^a   Nkambou, Roger ^a   Bourdeau, Jacqueline ^b  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^b Tel e University of Quebec   (Canada)

Author keywords

Open learner modeling; Reflection; Tutoring dialogues

Indexed keywords

EID: 85013615067     PISSN: 15604292     EISSN: 15604306     Source Type: Journal    
DOI: None     Document Type: Article

References (52)

1. Aleven, V., Popescu, O., & Koedinger, K. (2003). Towards tutorial dialog to support self-explanation: adding natural language understanding to a cognitive tutor. In U. Hoppe, F. Verdejo & J. Kay (Eds.) Artificial Intelligence in Education, Proceedings of the 11th International Conference, AIED2003 (pp. 39-46). Amsterdam: IOS Press.
2. Anderson, J. (1983). The Architecture of Cognition. Cambridge, MA: Harvard University Press.
3. Ashley, K., Desai, R., & Levine, R. (2002). Teaching case-based argumentation concepts using dialectic arguments vs. didactic explanations. In S. Cerri, G. Gouardères & F. Paraguaçu (Eds.) Intelligent Tutoring Systems, Proceedings of the 6th International Conference, ITS2002 (pp. 585-595). Berlin: Springer.
4. Bull, S., & Nghiem, T. (2002). Helping Learners to Understand Themselves with a Learner Model Open to Students, Peers and Instructors. In P. Brna & V. Dimitrova (Eds.) Intelligent Tutoring Systems. Proceedings of Workshop on Individual and Group Modelling Methods that Help Learners Understand Themselves (pp. 5-13).
5. Bull, S., & Pain, H. (1995). Did I say what I think I said, and do you agree with me?: inspecting and questioning the Student Model. In J. Greer (Ed.) Proceedings of World Conference on Artificial Intelligence in Education (pp. 501-508). Charlottesville, VA: AACE.
6. Bull, S., McEvoy, T., & Reid, E. (2003). Learner models to promote reflection in combined desktop PC/Mobile Intelligent learning environments. In U. Hoppe, F. Verdejo & J. Kay (Eds.) Proceedings of Workshop on Learner Modelling for Reflection, Supplementary Proceedings of the 11th International Conference, Volume V, AIED2003, (pp. 199-208).
7. Carletta, J. (1996). Assessing agreement on classification tasks: the kappa statistic. Computational Linguistics, 22(2), 249-254.
8. Cimolino, L., Kay, J., & Miller, A. (2003). Incremental Student Modelling and Reflection by Verified Concept Mapping. In S. Bull, P. Brna & V. Dimitrova (Eds.) Proceedings of Workshop on Learner Modelling for Reflection, Supplementary Proceedings of the 11th International Conference, Volume V, AIED2003 (pp. 219-227).
9. Collins, J. A., Greer, J. E., & Huang, S. X. (1996). Adaptive assessment using granularity hierarchies and bayesian nets. In C. Frasson, G. Gauthier & A. Lesgold (Eds.) Intelligent Tutoring Systems, Proceedings of the 3rd International Conference, ITS96 (pp. 569-577). Berlin: Springer.
10. Conati, C., Gertner, A., & VanLehn, K. (2002). Using Bayesian networks to manage uncertainty in student modeling. User Modeling and User-Adapted Interaction, 12(4), 371-417.
11. Corbett, A., & Anderson, J. (1995). Knowledge tracing: modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4, 253-278.
12. Cozman, F., G. (2001). The JavaBayes system. The ISBA Bulletin, 7(4), 16-21.
13. Cumming, G., & Self, J. A. (1991). Learner modeling in collaborative intelligent educational systems. In P. Goodyear (Ed.) Teaching Knowledge and Intelligent Tutoring (pp. 85-104). New Jersey: Ablex Publishing Corporation Norwood.
14. Dewey, J. (1933). How We Think: A Restatement of the Relation of Reflective Thinking to the Educative Process. Boston: Heath & Company.
15. Dimitrova, V. (2002). STyLE-OLM: interactive open learner modeling. International Journal of Artificial Intelligence in Education, 13, 37-58.
16. Dimitrova, V. (2003). Diagnostic interactions that promote learner reflection. In S. Bull, P. Brna & V. Dimitrova (Eds.) Proceedings of Workshop on Learner Modelling for Reflection, Supplementary Proceedings of the 11th International Conference, Volume V, AIED2003 (pp. 228-237).
17. Drake, A., J. (1976). Teaching Critical Thinking: Analyzing, Learning and Teaching Critical Skills. Danville: Interstate.
18. Flavell, J. H. (1979). Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. American Psychologist, 34, 906-911.
19. Ford, L. (1987). Teaching strategies and tactics in intelligent computer aided instruction. Artificial Intelligence Review, 1(3), 202-215.
20. Gagne, R. (1992). The Conditions of Learning and Theory of Instruction. New York: Holt, Rinehart & Winston.
21. Gama, C. (2004). Metacognition in interactive learning environments: the reflection assistant model. In F. Paraguaçu, J. C. Lester & R. M. Vicari (Eds.) Intelligent Tutoring Systems, Proceedings of the 6th International Conference, ITS2004 (pp. 668-677). Berlin: Springer.
22. Hansen, C., & McCalla, G. (2003). Active Open Learner Modelling. In S. Bull, P. Brna & V. Dimitrova (Eds.) Proceedings of Workshop on Learner Modelling for Reflection, Supplementary Proceedings of the 11th International Conference, Volume V, AIED2003 (pp. 248-257).
23. Heffernan, N., & Koedinger, K. (2002). An intelligent tutoring system incorporating a model of an experienced human tutor. In S. Cerri, G. Gouadères & F. Paraguaçu (Eds.) Intelligent Tutoring Systems, Proceedings of the 6th International Conference, ITS2002 (pp. 596-608). Berlin: Springer.
24. Katz, S., Allbritton, D., & Connelly, J. (2003). Tutoring that takes place after a problem has been solved. International Journal of Artificial Intelligence in Education, 13, 79-116.
25. Kolb, D. (1984). Experiential Learning: Experience as the Source of Learning and Development. Englewood Cliffs, NJ: Prentice-Hall Inc.
26. Lewin, K. (Ed.). (1948). Resolving Social Conflicts: Selected Papers on Group Dynamics. New York: Harper & Row.
27. Mann, W., & Thompson, S. (1988). Rhetorical structure theory: toward a functional theory of text organisation. Text, 8(3), 243-281.
28. Martin, J., & VanLehn, K. (1995). A bayesian approach to cognitive assessment. In P. Nichols, S. Chipman & R. L. Brennan (Eds.) Cognitive diagnostic assessment (pp. 141-165). Hillsdale, NJ: Erlbaum.
29. Mayo, M., & Mitrovic, A. (2001). Optimising ITS Behaviour with Bayesian Networks and Decision Theory. International Journal of Artificial Intelligence in Education, 12, 124-153.
30. Miles, M. M., & Huberman, A. M. (2003). Analyse des données qualitatives, traduction de la 2e édition américaine. Bruxelles: De Boeck.
31. Mitrovic, A., & Martin, B. (2002). Evaluating the Effects of Open Student Models on Learning. In P. De Bra, P.Brusilovsky & R. Conejo (Eds.) Adaptive Hypermedia and Adaptive Web-Based Systems (pp. 296-305). Berlin: Springer-Verlag.
32. Mizoguchi, R., & Bourdeau, J. (2000). Using Ontological Engineering to Overcome Common AI-ED Problems. International Journal of Artificial Intelligence in Education, 11, 107-121.
33. Moser, M., & Moore, J. (1996). Towards a synthesis of two accounts of discourse structure. Computational Linguistics, 22(3), 410-419.
34. Murray, T. (1993). Formative qualitative evaluation for "exploratory" ITS research. Journal of Artificial Intelligence in Education, 4(2/3), 179-207.
35. Nkambou, R., Frasson, C., & Gauthier, G. (2003). CREAM-Tools: An authoring environment for knowledge engineering in intelligent tutoring systems. In T. Murray, S. Blessing & S. Ainsworth (Eds.) Authoring Tools for Advanced Technology Learning Environments: Toward cost-effective adaptive, interactive, and intelligent educational software (pp. 269-308). Dordrecht: Kluwer Academic Publisher.
36. Ohlsson, S. (1987). Some principles of intelligent tutoring. In R. W. Lawler & M. Yazdani (Eds.) Learning Environments and Tutoring Systems (Vol. 1, pp. 203-237). Norwood, New Jersey: Ablex Publishing.
37. Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA.: Morgan Kaufman Publishers.
38. Person, N., Graesser, A., Kreuz, R., Pomeroy, V., & Group, T. R. (2001). Simulating human tutor dialog moves in AutoTutor. International Journal of Artificial Intelligence in Education, 12, 23-39.
39. Reye, J. (2004). Student modeling based on belief networks. International Journal of Artificial Intelligence in Education, 14, 63-96.
40. Rosé, P., Jordan, P., Ringenberg, M., Siler, S., VanLehn, K., & Weinstein, A. (2001). Interactive conceptual tutoring in Atlas-Andes. In J. D. Moore, C. L. Redfield & W. L. Johnson (Eds.) Artificial Intelligence in Education, Proceedings of the 10th International Conference, AIED2001 (pp. 255-266). Amsterdam: IOS Press.
41. Schoenfeld, A. H. (1987). What’s all the fuss about metacognition? In A. H. Schoenfeld (Ed.) Cognitive Science and Mathematics Education (pp. 189-215). Hillsdale: Lawrence Erlbaum Associates.
42. Schön, D., A. (1983). The Reflective Practitioner. How Professionals Think in Action. London: TempleSmith.
43. Self, J. (Ed.). (1990). Bypassing the intractable problem of student modelling. Norwood, NJ: Ablex.
44. Tchetagni, J., & Nkambou, R. (2006). Elaborating the Context of Interactions in a Tutorial Dialog. In R. Dapoigny & A. Moonis (Eds.) Advances in Applied Artificial Intelligence, 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE06 (pp. 848-858). Berlin: Springer.
45. Tchetagni, J., & Nkambou, R. (2004). Diagnosing learner errors in a web based environment using the MPE. In V. Uskov (Ed.) Web Based Education, Proceedings of the 3rd IASTED Conference, WBE2004 (pp. 135-145). Calgary, Canada: ACTA Press.
46. Tchetagni, J., Nkambou, R., & Bourdeau, J. (2005). Supporting student reflection in an intelligent tutoring system for logic programming. In J. Kay, A. Lum & J.-D. Zapata-Rivera (Eds.) Artificial Intelligence in Education, 12th International Conference, AIED2005, Proceedings of the Workshop on LeMore (pp. 42-51).
47. VanLehn, K. (1988). Student modeling. In M. Polson, C. & J. Richardson (Eds.) Foundations of Intelligent Tutoring Systems (pp. 55-78). Hillsdale: Laurence Erlbaum.
48. VanLehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R., Taylor, L., et al. (2005). The Andes physics tutoring system: lessons learned. International Journal of Artificial Intelligence in Education, 15(3), 147-204.
49. Vassileva, J., McCalla, G., & Greer, J. (2003). Multi-agent multi-user modelling in I-Help. User Modeling and User Adapted Interaction, 13(1), 179-210.
50. Woolf, B., Reid, J., Stillings, N., Bruno, M., Murray, D., Reese, P., et al. (2002). A General Platform for Inquiry Learning. In S. Cerri, A., G. Gouardères & F. Paraguaçu (Eds.) Intelligent Tutoring Systems, Proceedings of the 6th International Conference, ITS2002 (pp. 681-697). Berlin: Springer.
51. Zapata-Rivera, J.-D., & Greer, J. (2003). Analyzing student reflection in the learning game. In S. Bull, P. Brna & V. Dimitrova (Eds.) Proceedings of Workshop on Learner Modelling for Reflection, Supplementary Proceedings of the 11th International Conference, Volume V, AIED2003 (pp. 288-298). Amsterdam: IOS Press.
52. Zinn, C., Moore, J., & Core, M. (2002). A 3-Tier planning architecture for managing tutorial dialogue. Intelligent Tutoring Systems, Proceedings of the 6th International Conference (pp. 574-584). Berlin: Springer.