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Inducing and Tracking Confusion with Contradictions during Critical Thinking and Scientific Reasoning

  • Conference paper
Artificial Intelligence in Education (AIED 2011)

Abstract

Cognitive disequilibrium and its affiliated affective state of confusion have been found to be beneficial to learning due to the effortful cognitive activities that accompany their experience. Although confusion naturally occurs during learning, it can be induced and scaffolded to increase learning opportunities. We addressed the possibility of induction in a study where learners engaged in trialogues on critical thinking and scientific reasoning topics with animated tutor and student agents. Confusion was induced by staging disagreements and contradictions between the animated agents, and the (human) learners were invited to provide their opinions. Self-reports of confusion and learner responses to embedded forced-choice questions indicated that the contradictions were successful at inducing confusion in the minds of the learners. The contradictions also resulted in enhanced learning gains under certain conditions.

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References

  1. Csikszetmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper and Row, New York (1990)

    Google Scholar 

  2. Dweck, C.: Messages that Motivate: How Praise Molds Students’ Beliefs, Motivation, and Performance (In Surprising Ways). In: Aronson, J. (ed.) Improving Academic Achievement: Impact of Psychological Factors on Education, pp. 38–61. Academic Press, Orlando (2002)

    Google Scholar 

  3. Stein, N., Hernandez, M., Trabasso, T.: Advances in Modeling Emotions and Thought: The Importance of Developmental, Online, and Multilevel Analysis. In: Lewis, M., Haviland-Jones, J.M., Barrett, L.F. (eds.) Handbook of Emotions, 3rd edn., pp. 574–586. Guilford Press, New York (2008)

    Google Scholar 

  4. Lepper, M., Woolverton, M.: The Wisdom of Practice: Lessons Learned from the Study of Highly Effective Tutors. In: Aronson, J. (ed.) Improving Academic Achievement: Impact of Psychological Factors on Education, pp. 135–158. Academic Press, Orlando (2002)

    Chapter  Google Scholar 

  5. Meyer, D., Turner, J.: Re-Conceptualizing emotion and motivation to learn in classroom contexts. Educational Psychology Review 18(4), 377–390 (2006)

    Article  Google Scholar 

  6. Schultz, P., Pekrun, R. (eds.): Emotion in Education. Academic Press, San Diego (2007)

    Google Scholar 

  7. Immordino-Yang, M.H., Damasio, A.: We Feel, Therefore We Learn: The Relevance of Affective and Social Neuroscience to Education. Mind, Brain and Education 1(1), 3–10 (2007)

    Article  Google Scholar 

  8. Arroyo, I., Woolf, B., Cooper, D., Burleson, W., Muldner, K., Christopherson, R.: Emotion Sensors Go to School. In: Dimitrova, V., Mizoguchi, R., Du Boulay, B., Graesser, A. (eds.) Proceedings of 14th International Conference on Artificial Intelligence in Education, pp. 17–24. IOS Press, Amsterdam (2009)

    Google Scholar 

  9. Conati, C., Maclaren, H.: Empirically Building and Evaluating a Probabilistic Model of User Affect. User Modeling and User-Adapted Interaction 19(3), 267–303 (2009)

    Article  Google Scholar 

  10. Forbes-Riley, K., Litman, D.: Adapting to Student Uncertainty Improves Tutoring Dialogues. In: Dimitrova, V., Mizoguchi, R., Du Boulay, B., Graesser, A. (eds.) Proceedings of 14th International Conference on Artificial Intelligence in Education, pp. 33–40. IOS Press, Amsterdam (2009)

    Google Scholar 

  11. Robison, J., McQuiggan, S., Lester, J.: Evaluating the Consequences of Affective Feedback in Intelligent Tutoring Systems. In: Muhl, C., Heylen, D., Nijholt, A. (eds.) Proceedings of International Conference on Affective Computing & Intelligent Interaction, pp. 37–42. IEEE Computer Society Press, Los Alamitos (2009)

    Google Scholar 

  12. Graesser, A., Jeon, M., Dufty, D.: Agent Technologies designed to Facilitate Interactive Knowledge Construction. Discourse Processes 45(4-5), 298–322 (2008)

    Article  Google Scholar 

  13. Litman, D., Silliman, S.: ITSPOKE: An Intelligent Tutoring Spoken Dialogue System. Paper presented at the Human Language Technology Conference: 4th Meeting of the North American Chapter of the Association for Computational Linguistics, Boston, MA (2004)

    Google Scholar 

  14. Brown, J., VanLehn, K.: Repair Theory: A Generative Theory of Bugs in Procedural Skills. Cognitive Science 4, 379–426 (1980)

    Article  Google Scholar 

  15. Carroll, J., Kay, D.: Prompting, Feedback and Error Correction in the Design of a Scenario Machine. International Journal of Man-Machine Studies 28(1), 11–27 (1988)

    Article  Google Scholar 

  16. VanLehn, K., Siler, S., Murray, C., Yamauchi, T., Baggett, W.: Why Do Only Some Events Cause Learning during Human Tutoring? Cognition and Instruction 21(3), 209–249 (2003)

    Article  Google Scholar 

  17. D’Mello, S., Graesser, A.: Inducing and Tracking Confusion and Cognitive Disequilibrium with Breakdown Scenarios. Memory and Cognition (in press)

    Google Scholar 

  18. Graesser, A., Chipman, P., King, B., McDaniel, B., D’Mello, S.: Emotions and Learning with AutoTutor. In: Luckin, R., Koedinger, K., Greer, J. (eds.) 13th International Conference on Artificial Intelligence in Education, pp. 569–571. IOS Press, Amsterdam (2007)

    Google Scholar 

  19. Bjork, R.A., Linn, M.C.: The Science of Learning and the Learning of Science: Introducing Desirable Difficulties. American Psychological Society Observer 19, 3 (2006)

    Google Scholar 

  20. Craik, F.I., Lockhart, R.S.: Levels of Processing: A Framework for Memory Research. J. of Verbal Learning & Verbal Behavior 11(6), 671–684 (1972)

    Article  Google Scholar 

  21. Graesser, A., McDaniel, B., Chipman, P., Witherspoon, A., D’Mello, S., Gholson, B.: Detection of Emotions during Learning with AutoTutor. Paper Presented at the 28th Annual Conference of the Cognitive Science Society, Vancouver, Canada (2006)

    Google Scholar 

  22. Piaget, J.: The origins of intelligence. International University Press, New York (1952)

    Book  Google Scholar 

  23. Vygotsky, L.: Mind in society: The development of higher psychological processes. Harvard University Press, Cambridge (1978)

    Google Scholar 

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Lehman, B. et al. (2011). Inducing and Tracking Confusion with Contradictions during Critical Thinking and Scientific Reasoning. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_24

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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