ITS 2010: Intelligent Tutoring Systems pp 1-10 | Cite as
The Intricate Dance between Cognition and Emotion during Expert Tutoring
Abstract
Although, many have theorized about the link between cognition and affect and its potential importance in complex tasks such as problem solving and deep learning, this link has seldom been explicitly investigated during tutoring. Consequently, this paper investigates the relationship between learners’ cognitive and affective states during 50 tutoring sessions with expert human tutors. Association rule mining analyses revealed significant co-occurrence relationships between several of the cognitive measures (i.e., student answer types, question types, misconceptions, and metacomments) and the affective states of confusion, frustration, and anxiety, but not happiness. We also derived a number of association rules (Cognitive State → Affective State) from the co-occurrence relationships. We discuss the implications of our findings for theories that link affect and cognition during learning and for the development of affect-sensitive ITSs.
Keywords
affect cognition confusion frustration expert tutoring ITSsPreview
Unable to display preview. Download preview PDF.
References
- 1.Damasio, A.: Descarte’s Error: Emotion, Reason, and the Human Brain. Gosset/Putnam, New York (1994)Google Scholar
- 2.Bower, G.H.: Emotional Mood and Memory. American Psychologist 36, 129–148 (1981)CrossRefGoogle Scholar
- 3.Dagleish, T., Power, M.J.: Handbook of Cognition and Emotion. Wiley, Chichester (1999)CrossRefGoogle Scholar
- 4.Lazarus, R.S.: The Cognition-Emotion Debate: A Bit of History. In: Dagleish, T., Power, M.J. (eds.) Handbook of Cognition and Emotion, pp. 3–19. Wiley, Chichester (1999)Google Scholar
- 5.Mandler, G.: Mind and Body: Psychology of Emotion and Stress. Norton, New York (1984)Google Scholar
- 6.Barrett, L.F., Mesquita, B., Ochsner, K.N., Gross, J.J.: The Experience of Emotion. Annual Reviews 58, 373–403 (2007)Google Scholar
- 7.Ortony, A., Clore, G.L., Collines, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)Google Scholar
- 8.Scherer, K.R., Schorr, A., Johnstone, T.: Appraisal Proceses in Emotion: Theory, Methods, Research. Oxford University Press, New York (2001)Google Scholar
- 9.Stein, N.L., Levine, J.L.: Making Sense Out of Emotion: The Representation and Use of Goal-Structured Knowledge. In: Kessen, W., Ortony, A., Craik, F. (eds.) Memories, Thoughts, and Emotions: Essays in Honor of George Mandler, pp. 295–322. Lawrence Erlbaum Associates, Inc., England (1991)Google Scholar
- 10.Bjork, R.A., Linn, M.C.: The Science of Learning and The Learning of Science: Introducing Desirable Difficulties. APS Observer 19, 29 (2006)Google Scholar
- 11.Festinger, L.: A Theory of Cognitive Dissonance. Row Peterson, Evanston (1957)Google Scholar
- 12.Graesser, A.C., Lu, S., Olde, B.A., Cooper-Pye, E., Whitten, S.: Question Asking and Eye Tracking during Cognitive Disequilibrium: Comprehending Illustrated Texts on Devices When The Devices Breakdown. Memory & Cognition 33(7), 1235–1247 (2005)Google Scholar
- 13.Piaget, J.: The Origins of Intelligence in Children. Basic Books, New York (1952)CrossRefGoogle Scholar
- 14.VanLehn, K., Siler, S., Murray, C., Yamauchi, T., Baggett, W.B.: Why Do Only Some Events Cause Learning During Human Tutoring? Cognition and Instruction 21(3), 209–249 (2003)CrossRefGoogle Scholar
- 15.Spielberger, C.D., Goodstein, L.D., Dahlstrom, W.G.: Complex Incidental Learning as a Function of Anxiety and Task Difficulty. J. of Experimental Psychology 56(1), 58–61 (1958)CrossRefGoogle Scholar
- 16.Fielder, K.: Affective States Trigger Processes of Assimilation and Accommodation. In: Martin, L., Clore, G. (eds.) Theories of Mood and Cognition: A User’s Guidebook, pp. 85–98. Erlbaum, Mahwah (2001)Google Scholar
- 17.Isen, A.: An Influence of Positive Affect on Decision Making in Complex Situations: Theoretical Issues with Practical Implications. J. of Consumer Psychology 11, 75–85 (2001)CrossRefGoogle Scholar
- 18.Hertel, G., Neuhof, J., Theuer, T., Kerr, N.: Mood Effect on Cooperation in Small Groups: Does Positive Mood Simply Lead to More Cooperation? Cognition and Emotion 14, 441–472 (2000)CrossRefGoogle Scholar
- 19.Schwarz, N., Skurnik, I.: Feeling and Thinking: Implications for Problem Solving. In: Davidson, J., Sternberg, R. (eds.) The Psychology of Problem Solving, pp. 263–290. Cambridge University Press, New York (2003)CrossRefGoogle Scholar
- 20.Person, N., Lerhman, B., Ozbun, R.: Pedagogical and Motivational Dialogue Moves Used by Expert Tutors. In: Presented at the 17th Annual Meeting of the Society for Text and Discourse, Glasgow, Scotland (2007)Google Scholar
- 21.D’Mello, S.K., Craig, S.D., Fike, K., Graesser, A.C.: Responding to Learner’s Cognitive-Affective States with Supportive and Shakeup Dialogues. In: Jacko, J.A. (ed.) Human Computer Interaction; Ambient, Ubiquitous and Intelligent Interaction, pp. 595–604. Springer, Heidelberg (2009)CrossRefGoogle Scholar
- 22.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)CrossRefGoogle Scholar
- 23.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, IOS Press, Amsterdam (2009)Google Scholar
- 24.D’Mello, S.K., Person, N., Lehman, B.A.: Antecedent-Consequent Relationships and Cyclical Patterns between Affective States and Problem Solving Outcomes. In: Dimitrova, V., Mizoguchi, R., du Boulay, B., Graesser, A. (eds.) Proceedings of 14th International Conference on Artificial Intelligence in Education, pp. 57–64. IOS Press, Amsterdam (2009)Google Scholar
- 25.Litman, D., Forbes-Riley, K.: Recognizing Student Emotions and Attitudes on the Basis of Utterances in Spoken Tutoring Dialogues with Both Human and Computer Tutors. Speech Communication 48(5), 559–590 (2006)CrossRefGoogle Scholar
- 26.Lehman, B., Matthews, M., D’Mello, S., Person, N.: What Are You Feeling? Investigating Student Affective States during Expert Human Tutoring Sessions. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 50–59. Springer, Heidelberg (2008)CrossRefGoogle Scholar
- 27.Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the VDLB Conferences, Santiago, Chile (1994)Google Scholar
- 28.Cohen, J.: A Power Primer. Psychological Bulletin 112(1), 155–159 (1992)CrossRefGoogle Scholar
- 29.Bloom, B.S.: The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring. Educational Researcher 13, 4–16 (1984)Google Scholar
- 30.Lepper, M.R., Woolverton, M.: The Wisdom of Practice: Lessons Learned from Highly Effective Tutors. In: Aronson, J. (ed.) Improving Academic Achievement: Impact of Psychological Factors on Education, pp. 135–158. Academic Press, San Diego (2002)CrossRefGoogle Scholar