Enhancing Learning with Off-Task Social Dialogues

  • Jozef Tvarožek
  • Mária Bieliková
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6383)


In Peoplia, a socially intelligent tutoring agent helps students learn by augmenting learning opportunities with social features. The tutoring agent engages in off-task conversations with the students before and after the instructional activities, motivating them to work with the system more successfully. We describe the tutor’s architecture and early experiments in the domain of middle school mathematics. Students who engaged with the socially intelligent agent liked the system more, and attained higher learning gains.


off-task dialogues social intelligence motivation problem solving 


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  1. 1.
    Boyer, K.E., Phillips, R., Wallis, M., Vouk, M., Lester, J.C.: Balancing the cognitive and motivational scaffolding in tutorial dialogue. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 239–249. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  2. 2.
    Craig, S.D., Graesser, A.C., Sullins, J., Gholson, B.: Affect and learning: An exploratory look into the role of affect in learning. Journal of Educational Media 29, 241–250 (2004)CrossRefGoogle Scholar
  3. 3.
    Rowe, J.P., McQuiggan, S.W., Mott, B.W., Lester, J.C.: Motivation in narrative-centred learning environments. In: Proceedings of the Workshop on Narrative Learning Environments, AIED 2009, Marina del Rey, pp. 40–49 (2007)Google Scholar
  4. 4.
    McQuiggan, S.W., Rowe, J.P., Lee, S., Lester, J.C.: Story-based learning: The impact of narrative on learning experiences and outcomes. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 530–539. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  5. 5.
    Šimko, M., Barla, M., Bieliková, M.: ALEF: A Framework for Adaptive Web-based Learning 2.0. In: IFIP Advances in Information and Communication Technology Series, World Computing Congress 2010. Springer, Heidelberg (2010)Google Scholar
  6. 6.
    Barla, M., Bielikova, M., Ezzeddinne, B., et al.: On the impact of adaptive test question selection for learning efficiency. Computers & Education 55(2), 846–857 (2010)CrossRefGoogle Scholar
  7. 7.
    Blanchard, E.G., Volfson, B., Hong, Y.J., Lajoie, S.P.: Affective Artificial Intelligent in Education: From Detection to Adaptation. In: AIED 2009. IOS Press, UK (2009)Google Scholar
  8. 8.
    Tvarožek, J., Bieliková, M.: Feasibility of a Socially Intelligent Tutor. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010, Part II. LNCS, vol. 6095, pp. 423–425. Springer, Heidelberg (2010)Google Scholar
  9. 9.
    Hartup, W.: Cooperation, close relationships, and cognitive development. In: The company they keep: Friendship in childhood and adolescence, pp. 213–237. Cambridge University Press, Cambridge (1996)Google Scholar
  10. 10.
    Lepper, M., Henderlong, J.: Turning “Play” into “Work” and “Work” into “Play”: 25 years of Research on Intrinsic versus Extrinsic Motivation. In: Intrinsic and extrinsic motivation: The search for optimal motivation and performance, pp. 257–307 (2000)Google Scholar
  11. 11.
    Johnson, W.L.: Interaction tactics for socially intelligent pedagogical agents. In: IUI 2003, pp. 251–253. ACM Press, New York (2003)Google Scholar
  12. 12.
    Mayer, R.E., Johnson, W.L., Shaw, E., Sandhu, S.: Constructing computer-based tutors that are socially sensitive: Politeness in educational software. Int. Journal of Human-Computer Studies. 64(1), 36–42 (2006)CrossRefGoogle Scholar
  13. 13.
    McLaren, B.M., Lim, S., Yaron, D., Koedinger, K.R.: Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab? In: AIED 2007, pp. 331–338 (2007)Google Scholar
  14. 14.
    Wang, N., Johnson, W.L., Mayer, et al.: The politeness effect: Pedagogical agents and learning outcomes. Int. Journal of Human-Computer Studies 66, 98–112 (2008)CrossRefGoogle Scholar
  15. 15.
    Malone, E., Crumlish, C.: Designing Social Interfaces: Principles. O’Reilly Media, Sebastopol (2009)Google Scholar
  16. 16.
    Tvarožek, J., Kravčík, M., Bieliková, M.: Towards Computerized Adaptive Assessment Based on Structured Tasks. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 224–234. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jozef Tvarožek
    • 1
  • Mária Bieliková
    • 1
  1. 1.Faculty of Informatics and Information TechnologiesSlovak University of TechnologyBratislavaSlovakia

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