Abstract
Curiosity is the strong desire to learn or know more about something or someone. Since learning is often a social endeavor, social dynamics in collaborative learning may inevitably influence curiosity. There is a scarcity of research, however, focusing on how curiosity can be evoked in group learning contexts. Inspired by a recently proposed theoretical framework [30] that articulates an integrated socio-cognitive infrastructure of curiosity, in this work, we use data-driven approaches to identify fine-grained social scaffolding of curiosity in child-child interaction, and propose how they can be used to elicit and maintain curiosity in technology-enhanced learning environments. For example, we discovered sequential patterns of multimodal behaviors across group members and we describe those that maximize an individual’s utility, or likelihood, of demonstrating curiosity during open-ended problem-solving in group work. We also discovered, and describe here, behaviors that directly or in a mediated manner cause curiosity related conversational behaviors in the interaction, with twice as many interpersonal causal influences compared to intrapersonal ones. We explain how these findings form a solid foundation for developing curiosity-increasing learning technologies or even assisting a human coach to induce curiosity among learners.
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References
Ambady, N., Rosenthal, R.: Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis (1992)
Berlyne, D.E.: Conflict, Arousal, and Curiosity. McGraw-Hill, New York (1960)
Cartwright, D.E., Zander, A.E.: Group Dynamics Research and Theory. Harper and Row, New York (1953)
Chen, G., Chiu, M.M., Wang, Z.: Social metacognition and the creation of correct, new ideas: a statistical discourse analysis of online mathematics discussions. Comput. Hum. Behav. 28(3), 868–880 (2012)
Chi, M.T., Wylie, R.: The ICAP framework: linking cognitive engagement to active learning outcomes. Educ. Psychol. 49(4), 219–243 (2014)
Chiu, M.M.: Flowing toward correct contributions during group problem solving: a statistical discourse analysis. J. Learn. Sci. 17(3), 415–463 (2008)
Correnti, R., Stein, M.K., Smith, M.S., Scherrer, J., McKeown, M., Greeno, J., Ashley, K.: Improving teaching at scale: design for the scientific measurement and learning of discourse practice. In: Socializing Intelligence Through Academic Talk and Dialogue. AERA (2015)
Darnon, C., Doll, S., Butera, F.: Dealing with a disagreeing partner: relational and epistemic conflict elaboration. Eur. J. Psychol. Educ. 22(3), 227–242 (2007)
Ding, M., Chen, Y., Bressler, S.L.: Granger causality: basic theory and application to neuroscience. In: Schelter, B., Winterhalder, M., Timmer, J. (eds.) Handbook of Time Series Analysis: Recent Theoretical Developments and Applications, p. 437. Wiley, Weinheim (2006)
Dörnyei, Z., Murphey, T.: Group Dynamics in the Language Classroom. Ernst Klett Sprachen, Stuttgart (2003)
D’Mello, S., Graesser, A.: Dynamics of affective states during complex learning. Learn. Instr. 22(2), 145–157 (2012)
Forsyth, D.R.: Group Dynamics. Cengage Learning, Belmont (2009)
Gordon, G., Breazeal, C., Engel, S.: Can children catch curiosity from a social robot? In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, pp. 91–98. ACM (2015)
Graesser, A.C., Person, N.K., Magliano, J.P.: Collaborative dialogue patterns in naturalistic one-to-one tutoring. Appl. Cogn. Psychol. 9(6), 495–522 (1995)
Grossnickle, E.M.: Disentangling curiosity: dimensionality, definitions, and distinctions from interest in educational contexts. Educ. Psychol. Rev. 28(1), 23–60 (2016)
Hogan, K.: Thinking aloud together: a test of an intervention to foster students’ collaborative scientific reasoning. J. Res. Sci. Teach. 36(10), 1085–1109 (1999)
Johnson, D.W., Johnson, R.T.: Energizing learning: the instructional power of conflict. Educ. Res. 38(1), 37–51 (2009)
Jordan, M.E., McDaniel, R.R.: Managing uncertainty during collaborative problem solving in elementary school teams: the role of peer influence in robotics engineering activity. J. Learn. Sci. 23(4), 490–536 (2014)
Kruger, J., Endriss, U., Fernández, R., Qing, C.: Axiomatic analysis of aggregation methods for collective annotation. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems, pp. 1185–1192. International Foundation for Autonomous Agents and Multiagent Systems (2014)
Litman, J.A., Pezzo, M.V.: Dimensionality of interpersonal curiosity. Personality Individ. Differ. 43(6), 1448–1459 (2007)
Loewenstein, G.: The psychology of curiosity: a review and reinterpretation. Psychol. Bull. 116(1), 75 (1994)
Luce, M.R., Hsi, S.: Science-relevant curiosity expression and interest in science: an exploratory study. Sci. Educ. 99(1), 70–97 (2015)
Mockel, L.J.: Thinking aloud in the science classroom: Can a literacy strategy increase student learning in science? (2013)
Orlitzky, M., Hirokawa, R.Y.: To err is human, to correct for it divine a meta-analysis of research testing the functional theory of group decision-making effectiveness. Small Group Res. 32(3), 313–341 (2001)
Paletz, S.B., Schunn, C.D., Kim, K.H.: Intragroup conflict under the microscope: micro-conflicts in naturalistic team discussions. Negot. Confl. Manage. Res. 4(4), 314–351 (2011)
Paulus, P.B., Brown, V.R.: Enhancing ideational creativity in groups. In: Paulus, P.B., Nijstad, B.A. (eds.) Group Creativity: Innovation Through Collaboration, pp. 110–136. Oxford University Press, New York (2003)
Pea, R.D.: The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. J. Learn. Sci. 13(3), 423–451 (2004)
Porter, A., McMaken, J., Hwang, J., Yang, R.: Common core standards the new us intended curriculum. Educ. Res. 40(3), 103–116 (2011)
Rogers, C.R.: Freedom to Learn for the 80’s. No. 371.39 R724f. Merrill Publishing, Ohio (1983)
Sinha, T., Bai, Z., Cassell, J.: A new theoretical framework for curiosity for learning in social contexts. In: Lavoué, É., et al. (eds.) EC-TEL 2017. LNCS, vol. 10474, pp. 254–269. Springer, Cham (2017). doi:10.1007/978-3-319-66610-5_19
Sinha, T., Cassell, J.: We click, we align, we learn: impact of influence and convergence processes on student learning and rapport building. In: Proceedings of the 1st Workshop on Modeling INTERPERsonal SynchrONy And infLuence, pp. 13–20. ACM (2015)
Sinha, T., Zhao, R., Cassell, J.: Exploring socio-cognitive effects of conversational strategy congruence in peer tutoring. In: Proceedings of the 1st Workshop on Modeling INTERPERsonal SynchrONy And infLuence, pp. 5–12. ACM (2015)
Spektor-Levy, O., Baruch, Y.K., Mevarech, Z.: Science and scientific curiosity in pre-school–the teacher’s point of view. Int. J. Sci. Educ. 35(13), 2226–2253 (2013)
Wu, Q., Miao, C.: Modeling curiosity-related emotions for virtual peer learners. IEEE Comput. Intell. Mag. 8(2), 50–62 (2013)
Yin, J., Zheng, Z., Cao, L.: USpan: an efficient algorithm for mining high utility sequential patterns. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 660–668. ACM (2012)
Zhao, R., Sinha, T., Black, A.W., Cassell, J.: Socially-aware virtual agents: automatically assessing dyadic rapport from temporal patterns of behavior. In: Traum, D., Swartout, W., Khooshabeh, P., Kopp, S., Scherer, S., Leuski, A. (eds.) IVA 2016. LNCS, vol. 10011, pp. 218–233. Springer, Cham (2016). doi:10.1007/978-3-319-47665-0_20
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Sinha, T., Bai, Z., Cassell, J. (2017). Curious Minds Wonder Alike: Studying Multimodal Behavioral Dynamics to Design Social Scaffolding of Curiosity. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-SanagustÃn, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_20
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