Rule-based cognitive modeling for intelligent tutoring systems

Studies in Computational Intelligence

Volumn 308, Issue , 2010, Pages 33-62

  Aleven, Vincent ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77957263761     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14363-2_3     Document Type: Article

References (45)

1. Aleven, V., Koedinger, K. R.: An effective meta-cognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive Science 26(2), 147-179 (2002)
2. Aleven, V., McLaren, B. M., Sewall, J.: Scaling up programming by demonstration for intelligent tutoring systems development: An open-access website for middle-school mathematics learning. IEEE Transactions on Learning Technologies 2(2), 64-78 (2009)
3. Aleven, V., McLaren, B. M., Sewall, J., Koedinger, K. R.: The Cognitive Tutor Authoring Tools (CTAT): Preliminary evaluation of efficiency gains. In: Ikeda, M., Ashley, K. D., Chan, T. W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 61-70. Springer, Heidelberg (2006) (Pubitemid 44117579)
4. Aleven, V., McLaren, B. M., Sewall, J., Koedinger, K. R.: A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education 19(2), 105-154 (2009)
5. Anderson, J. R.: Rules of the mind. Lawrence Erlbaum Associates, Hillsdale (1993)
6. Anderson, J. R., Lebiere, C.: The atomic components of thought. Lawrence Erlbaum Associates, Mahwah (1998)
7. Anderson, J. R., Pelletier, R.: A development system for model-tracing tutors. In: Birnbaum, L. (ed.) Proceedings of the international conference of the learning sciences. Association for the Advancement of Computing in Education, pp. 1-8, Charlottesville, VA (1991)
8. Anderson, J. R., Boyle, C. F., Reiser, B. J.: Intelligent tutoring systems. Science 228(4698), 456-462 (1985)
9. Anderson, J. R., Boyle, C. F., Yost, G.: The geometry tutor. In: Joshi, A. (ed.) Proceedings of the 9th international joint conference on artificial intelligence, pp. 1-7. Morgan Kaufmann, San Francisco (1985)
10. Anderson, J. R., Corbett, A. T., Koedinger, K. R., Pelletier, R.: Cognitive tutors: Lessons learned. The Journal of the Learning Sciences 4(2), 167-207 (1995)
11. Baker, R. S. J.d., Yacef, K.: The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1):3-17 (2009)
12. Baker, R. S. J.d., Corbett, A. T., Koedinger, K. R.: The difficulty factors approach to the design of lessons in intelligent tutor curricula. International Journal of Artificial Intelligence and Education, 17(4):341-369 (2007)
13. Butcher, K., Aleven, V.: Integrating visual and verbal knowledge during classroom learning with computer tutors. In: McNamara, D. S., Trafton, J. G. (eds.) Proceedings of the 29th Annual Conference of the Cognitive Science Society. Cognitive Science Society, Austin (2007)
14. Butcher, K., Aleven, V.: Diagram interaction during intelligent tutoring in geometry: Support for knowledge retention and deep transfer. In: Schunn, C. (ed.) Proceedings of the 30th Annual Meeting of the Cognitive Science Society, CogSci 2008, pp. 894-899. Lawrence Erlbaum, New York (2008)
15. Butcher, K., Aleven, V.: Learning during intelligent tutoring: when do integrated visualverbal representations improve student outcomes? In: The 32nd Annual Meeting of the Cognitive Science Society, CogSci 2010 (in press, 2010)
16. Cen, H., Koedinger, K. R., Junker, B.: Learning factors analysis - A general method for cognitive model evaluation and improvement. In: Ikeda, M., Ashley, K. D., Chan, T. W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 164-175. Springer, Heidelberg (2006) (Pubitemid 44117589)
17. Cen, H., Koedinger, K. R., Junker, B.: Is over practice necessary? Improving learning efficiency with the cognitive tutor through educational data mining. In: Luckin, R., Koedinger, K. R., Greer, J. (eds.) Proceedings of the 13th international conference on artificial intelligence in education (AIED 2007), pp. 511-518. IOS Press, Amsterdam (2007)
18. Clark, R. E., Feldon, D., van Merriënboer, J., Yates, K., Early, S.: Cognitive task analysis. In: Spector, J. M., Merrill, M. D., van Merriënboer, J. J. G., Driscoll, M. P. (eds.) Handbook of research on educational communications and technology, 3rd edn., Lawrence Erlbaum Associates, Mahwah (2007)
19. Corbett, A. T., Anderson, J. R.: Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction 4(4), 253-278 (1995)
20. Corbett, A., Kauffman, L., MacLaren, B., Wagner, A., Jones, E.: A Cognitive Tutor for genetics problem solving: Learning gains and student modeling. Journal of Educational Computing Research 42(2), 219-239 (2010)
21. Corbett, A., McLaughlin, M., Scarpinatto, K. C.: Modeling student knowledge: Cognitive tutors in high school and college. User Modeling and User-Adapted Interaction 10 (2-3), 81-108 (2000) (Pubitemid 32138185)
22. Crowley, R. S., Medvedeva, O.: An intelligent tutoring system for visual classification problem solving. Artificial Intelligence in Medicine 36(1), 85-117 (2006) (Pubitemid 43068585)
23. Friedman-Hill, E.: JESS in action. Manning, Greenwich, CT (2003)
24. Heathcote, A., Brown, S., Mewhort, D. J. K.: The power law repealed: The case for an exponential law of practice. Psychonomic Bulletin & Review 7(2), 185-207 (2000)
25. Koedinger, K. R., Aleven, V.: Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review 19(3), 239-264 (2007)
26. Koedinger, K. R., Anderson, J. R.: Abstract planning and perceptual chunks: Elements of expertise in geometry. Cognitive Science 14, 511-550 (1990)
27. Koedinger, K. R., Anderson, J. R.: Reifying implicit planning in geometry: Guidelines for model-based intelligent tutoring system design. In: Lajoie, S. P., Derry, S. J. (eds.) Computers as cognitive tool. Lawrence Erlbaum, Hillsdale (1993)
28. Koedinger, K. R., Corbett, A. T.: Cognitive tutors: Technology bringing learning sciences to the classroom. In: Sawyer, R. K. (ed.) The Cambridge handbook of the learning sciences. Cambridge University Press, New York (2006)
29. Koedinger, K. R., Nathan, M. J.: The real story behind story problems: Effects of representations on quantitative reasoning. The Journal of the Learning Sciences 13(2), 129-164 (2004)
30. Koedinger, K. R., Anderson, J. R., Hadley, W. H., Mark, M. A.: Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education 8(1), 30-43 (1997)
31. Koedinger, K. R., Baker, R., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J.: A Data Repository for the EDM community: The PSLC DataShop. In: Romero, C., Ventura, S., Pechenizkiy, M., Baker, R. S. J.d. (eds.) To appear in Handbook of Educational Data Mining. CRC Press, Boca Raton (in press)
32. Koedinger, K. R., Corbett, A. T., Ritter, S., Shapiro, L.: Carnegie learning's cognitive tutor: Summary research results. White paper, Carnegie Learning Inc., Pittsburgh, PA (2000) e-mail: info@carnegielearning.com, web: http://www.carnegielearning.com
33. Mathan, S. A., Koedinger, K. R.: Fostering the intelligent novice: Learning from errors with metacognitive tutoring. Educational Psychologist 40(4), 257-265 (2005)
34. Mitrovic, A., Mayo, M., Suraweera, P., Martin, B.: Constraint-based tutors: A success story. In: Monostori, L., Vancza, J., Ali, M. (eds.) Proceedings of the 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-2001. Springer, Berlin (2001) (Pubitemid 33291408)
35. Mitrovic, A., Martin, B., Suraweera, P., Zakharov, K., Milik, N., Holland, J.: ASPIRE: An authoring system and deployment environment for constraint-based tutors. International Journal of Artificial Intelligence in Education 19(2), 155-188 (2009)
36. Murray, T.: An overview of intelligent tutoring system authoring tools: Updated analysis of the state of the art. In: Murray, T., Blessing, S., Ainsworth, S. (eds.) Authoring tools for advanced learning environments. Kluwer Academic Publishers, Dordrecht (2003)
37. NCTM, Professional Standards for Teaching Mathematics. VA, National Council of Teachers of Mathematics, Reston (1991)
38. Newell, A., Rosenbloom, P. S.: Mechanisms of skill acquisition and the law of practice. In: Anderson, J. R. (ed.) Cognitive skills and their acquisition. Erlbaum, Hillsdale (1981)
39. Newell, A., Simon, H. A.: Human problem solving. Prentice Hall, Englewood Cliffs (1972)
40. Ritter, S., Anderson, J. R., Koedinger, K. R., Corbett, A.: Cognitive tutor: Applied research in mathematics education. Psychonomic Bulletin & Review 14(2), 249-255 (2007)
41. Roll, I., Koedinger, K., Aleven, V.: The Invention Lab: Using a hybrid of model tracing and constraint-based tutoring to offer intelligent support in inquiry environments. To appear in the Proceedings of the 10th International Conference on Intelligent Tutoring Systems, ITS 2010 (in press, 2010)
42. Sweller, J., van Merriënboer, J. J. G.: Paas FGWC, Cognitive architecture and instructional design. Educational Psychology Review 10(3), 151-296 (1998) (Pubitemid 128116160)
43. Van Lehn, K.: The behavior of tutoring systems. International Journal of Artificial Intelligence in Education 16(3), 227-265 (2006)
44. Van Lehn, K., Lynch, C., Schultz, K., Shapiro, J. A., Shelby, R. H., Taylor, L., Treacy, D., Weinstein, A., Wintersgill, M.: The Andes physics tutoring system: Lessons learned. International Journal of Artificial Intelligence in Education 15(3), 147-204 (2005)
45. Woolf, B. P., Cunningham, P.: Building a community memory for intelligent tutoring systems. In: Forbus, K., Shrobe, H. (eds.) Proceedings of the sixth national conference on artificial intelligence. AAAI Press, Menlo Park (1987)