Skip to main content

Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations During Human Tutoring Effective?

  • Conference paper
  • First Online:
Artificial Intelligence in Education (AIED 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9112))

Included in the following conference series:

Abstract

We present an initial field evaluation of Rimac, a natural-language tutoring system which implements decision rules that simulate the highly interactive nature of human tutoring. We compared this rule-driven version of the tutor with a non-rule-driven control in high school physics classes. Although students learned from both versions of the system, the experimental group outperformed the control group. A particularly interesting finding is that the experimental version was especially beneficial for female students.

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 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
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. Arroyo, I., Beck, J.E., Woolf, B.P., Beal, C.R., Schultz, K.: Macroadapting animalwatch to gender and cognitive differences with respect to hint interactivity and symbolism. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 574–583. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  2. Bates, S., Donnely, R., MacPhee, C., Sands, D., Birch, M., Walet, N.R.: Gender Differences in Conceptual Understanding of Newtonian Mechanics: a UK Cross-institution Comparison. European Journal of Physics 34, 421–434 (2013)

    Article  Google Scholar 

  3. Boyer, K.E., Phillips, R., Ingram, A., Ha, E.Y., Wallis, M., Vouk, M., Lester, J.: Characterizing the effectiveness of tutorial dialogue with hidden markov models. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010, Part I. LNCS, vol. 6094, pp. 55–64. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  4. Chi, M.T.H., Roy, M., Hausmann, R.G.: Observing Tutorial Dialogues Collaboratively: Insights About Human Tutoring Effectiveness From Vicarious Learning. Cognitive Science 32(2), 301–341 (2008)

    Article  Google Scholar 

  5. Chi, M.T.H., Siler, S., Jeong, H., Yamauchi, T., Hausmann, R.G.: Learning from Human Tutoring. Cognitive Science 25, 471–533 (2001)

    Article  Google Scholar 

  6. Chi, M., VanLehn, K., Litman, D., Jordan, P.: An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach. International Journal of Artificial Intelligence in Education 21, 83–113 (2011)

    Google Scholar 

  7. Evens, M., Michaels, J.: One-on-one Tutoring by Humans and Computers. Lawrence Erlbaum Associates, New Jersey (2006)

    Google Scholar 

  8. Graesser, A.C., Person, N.K., Magliano, J.P.: Collaborative Dialogue Patterns in Naturalistic One-on-one Tutoring. Applied Cognitive Psychology 9, 495–522 (1995)

    Article  Google Scholar 

  9. Hazari, Z., Sadler, P.M., Tai, R.H.: Gender Differences in the High School and Affective Experiences of Introductory College Physics Students. The Physics Teacher 46, 423 (2008)

    Article  Google Scholar 

  10. Jordan, P., Hall, B., Ringenberg, M., Cui, Y., Rose, C.: Tools for authoring a dialogue agent that participates in learning studies. In: Proceedings of the 13th International Conference of AI in Education (2007)

    Google Scholar 

  11. Katz, S., Albacete, P.: A Tutoring System That Simulates the Highly Interactive Nature of Human Tutoring. Journal of Educational Psychology 105(4), 1126–1141 (2013)

    Article  Google Scholar 

  12. Litman, D., Forbes-Riley, K.: Correlations Between Dialogue Acts and Learning in Spoken Tutoring Dialogues. Natural Language Engineering 12, 161–176 (2006)

    Article  Google Scholar 

  13. Mann, W.C., Thompson, S.: Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. Text 8, 243–281 (1988)

    Google Scholar 

  14. Murray, R.C., VanLehn, K.: A comparison of decision-theoretic, fixed-policy and random tutorial action selection. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 114–123. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  15. Ravenscroft, A., Pilkington, R.M.: Investigation by Design: Developing Models to Support Reasoning and Conceptual Change. International Journal of Artificial Intelligence in Education 11, 273–298 (2000)

    Google Scholar 

  16. Van de Sande, C., Greeno, J.G.: A Framing of Instructional Explanations: Let’s explain with you. In: Stein, M.K., Kucan, L. (eds.) Instructional Explanations in the Disciplines, pp. 69–82. Springer, New York (2010)

    Chapter  Google Scholar 

  17. Ward, A., Litman, D.: Adding abstractive reflection to a tutorial dialogue system. In: Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference FLAIRS (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patricia Albacete .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Albacete, P., Jordan, P., Katz, S. (2015). Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations During Human Tutoring Effective?. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19773-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19772-2

  • Online ISBN: 978-3-319-19773-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics