Skip to main content

Minimally Invasive Tutoring of Complex Physics Problem Solving

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2363))

Included in the following conference series:

Abstract

Solving complex physics problems requires some kind of knowledge for selecting appropriate applications of physics principles. This knowledge is tacit, in that it is not explicitly taught in textbooks, existing tutoring systems or anywhere else. Experts seem to have acquired it via implicit learning and may not be aware of it. Andes is a coach for physics problem solving that has had good evaluations, but still does not teach complex problem solving as well as we would like. The conventional ITS approach to increasing its effectiveness requires teaching the tacit knowledge explicitly, and yet this would cause Andes to be more invasive. In particular, the textbooks and instructors would have to make space in an already packed curriculum for teaching the tacit knowledge. This paper discusses our attempts to teach the tacit knowledge without making Andes more invasive.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gertner, A.S. and K. VanLehn, Andes: A coached problem solving environment for physics, in Intelligent Tutoring Systems: 5th international Conference, ITS 2000, G. Gautheier, C. Frasson, and K. VanLehn, Editors. 2000, Springer: New York. p. 133–142.

    Google Scholar 

  2. Schulze, K.G., et al., Andes: An intelligent tutor for classical physics. The Journal of Electronic Publishing, 2000. 6(1).

    Google Scholar 

  3. Schulze, K.G., et al., Andes: An active learning intelligent tutoring system for Newtonian physics, in THEMES in Education. 2000, Leader Books: Athens, Greece. p. 115–136.

    Google Scholar 

  4. VanLehn, K., Conceptual and meta learning during coached problem solving, in ITS96: Proceeding of the Third International conference on Intelligent Tutoring Systems., C. Frasson, G. Gauthier, and A. Lesgold, Editors. 1996, Springer-Verlag: New York.

    Google Scholar 

  5. Albacete, P.L. and K. VanLehn, The Conceptual Helper: An intelligent tutoring system for teaching fundamental physics concepts, in Intelligent Tutoring Systems: 5th International Conference, ITS 2000, G. Gauthier, C. Frasson, and K. VanLehn, Editors. 2000, Springer: Berlin. p. 564–573.

    Google Scholar 

  6. Albacete, P.L. and K. VanLehn, Evaluation the effectiveness of a cognitive tutor for fundamental physics concepts, in Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society, L.R. Gleitman and A.K. Joshi, Editors. 2000, Erlbaum: Mahwah, NJ. p. 25–30.

    Google Scholar 

  7. Rose, C.P., et al., Interactive conceptual tutoring in Atlas-Andes, in Artificial Intelligence in Education: AI-Ed in the Wired and Wireless future, J.D. Moore, C. Redfield, and W.L. Johnson, Editors. 2001, IOS: Washington, DC. p. 256–266.

    Google Scholar 

  8. Conati, C. and K. VanLehn, Further results from the evaluation of an intelligent computer tutor to coach self-explanation, in Intelligent Tutoring Systems: 5th International Confer-ence, ITS 2000, G. Gauthier, C. Frasson, and K. VanLehn, Editors. 2000, Springer: Berlin, p. 304–313.

    Google Scholar 

  9. Conati, C. and K. VanLehn, Toward computer-based support of meta-cognitive skills: A computational framework to coach self-explanation. International Journal of Artificial Intelligence in Education, 2000. 11: p. 398–415.

    Google Scholar 

  10. Gertner, A., C. Conati, and K. VanLehn, Procedural help in Andes: Generating hints using a Bayesian network student model., in Proceedings of the 15th national Conference on Artificial Intelligence. 1998.

    Google Scholar 

  11. Conati, C., A. Gertner, and K. Vanlehn, Using Bayesian networks to manage uncertainty in student modeling. User Modeling and User-Adapted Interactions, in press.

    Google Scholar 

  12. Conati, C., et al., On-line student modeling for coached problem solving using Bayesian networks, in User Modeling: Proceedings of the Sixth International conference, UM97, A. Jameson, C. Paris, and C. Tasso, Editors. 1997, Spring Wien: New York.

    Google Scholar 

  13. Gertner, A.S., Providing feedback to equation entries in an intelligent tutoring system for Physics, in Intelligent Tutoring Systems: 4th International Conference, B.P. Goettl, et al., Editors. 1998, Springer: New York. p. 254–263.

    Google Scholar 

  14. Shelby, R.N., et al. The Andes Intelligent Tutor: an Evaluation. In Physics Education Research Conference. 2001. Rochester, NY.

    Google Scholar 

  15. Bundy, A., et al., Solving mechanics problems using meta-level inference, in Proceedings of the Sixth International Joint Conference on AI. 1979, Morgan Kaufmann: San Mateo, CA. p. 1017–1027.

    Google Scholar 

  16. Priest, A.G. and R.O. Lindsay, New light on novice-expert differences in physics problem solving. British Journal of Psychology, 1992. 83: p. 389–405.

    Google Scholar 

  17. Shapiro, J.A., Algebra subsystem for an intelligent tutoring system. International Journal of Artificial Intelligence in Education, submitted.

    Google Scholar 

  18. Anderson, J.R., et al., Cognitive Tutors: Lessons Learned. The Journal of the Learning Sciences, 1995. 4(2): p. 167–207.

    Article  Google Scholar 

  19. VanLehn, K., R.M. Jones, and M.T.H. Chi, A model of the self-explanation effect. The Journal of the Learning Sciences, 1992. 2(1): p. 1–59.

    Article  Google Scholar 

  20. Elio, R. and P.B. Scharf, Modeling novice-to-expert shifts in problem-solving strategy and knowledge organization. Cognitive Science, 1990. 14: p. 579–639.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

VanLehn, K. et al. (2002). Minimally Invasive Tutoring of Complex Physics Problem Solving. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_40

Download citation

  • DOI: https://doi.org/10.1007/3-540-47987-2_40

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics