Abstract
In this study, we describe a conversational agent designed to support collaborative learning interactions between pairs of students. We describe a study in which we independently manipulate the social capability and goal alignment of the agent in order to investigate the impact on student learning outcomes and student perceptions. Our results show a significant interaction effect between the two independent variables on student learning outcomes. While there are only a few perceived differences related to student satisfaction and tutor performance as evidenced in the questionnaire data, we observe significant differences in student conversational behavior, which offer tentative explanations for the learning outcomes we will investigate in subsequent work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Strijbos, J.W.: The effect of roles on computer supported collaborative learning. Doctoral Dissertation, Open University, The Netherlands (2004)
Baker, M., Lund, K.: Promoting reflective interactions in a CSCL environment. Journal of Computer Assisted Learning 13, 175–193 (1997)
Kollar, I., Fischer, F., Hesse, F.W.: Computer-supported cooperation scripts - a conceptual analysis. Educational Psychology Review (2006)
Weinberger, A., Fischer, F.: A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Journal of Computers & Education 46(1) (2006)
Paul, M., Girju, R.: Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models Export. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (2009)
Kumar, R., Rosé, C.P., Wang, Y.C., Joshi, M., Robinson, A.: Tutorial Dialogue as Adaptive Collaborative Learning Support. In: Proceedings of Artificial Intelligence in Education (2007)
Chaudhuri, S., Kumar, R., Joshi, M., Terrell, E., Higgs, F., Aleven, V., Rosé, C.P.: It’s Not Easy Being Green: Supporting Collaborative “Green Design” Learning. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 807–809. Springer, Heidelberg (2008)
Isbister, K., Nakanishi, H., Ishida, T., Nass, C.: Helper Agent: Designing an Assistant for Human-Human Interaction in a Virtual Meeting Space. In: Proceedings of CHI (2000)
Morkes, J., Kernal, H.K., Nass, C.: Effects of humor in task-oriented human-computer interaction and computer-mediated communication: A direct test of SRCT theory. Human-Computer Interaction 14(4) (1999)
Wang, N., Johnson, L.: The Politeness Effect in an intelligent foreign language tutoring system. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 270–280. Springer, Heidelberg (2008)
Higashinaka, R., Dohsaka, K., Isozaki, H.: Effects of Self-Disclosure and Empathy in Human-Computer Dialogue. In: Proceedings of 2008 IEEE Workshop on Spoken Language Technology (2008)
Brennan, S.E., Clark, H.H.: Conceptual pacts and lexical choice in conversation. Journal of Experimental Psychology: Learning, Memory and Cognition (1996)
Reeves, B., Nass, C.I.: The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge University Press, New York (1996)
Pearson, J., Hu, J., Branigan, H.P., Pickering, M.J., Nass, C.: Adaptive language behavior in HCI: How expectations and beliefs about a system affect users’ word choice. In: Proceedings of CHI conference on human factors in computing systems (2006)
Branigan, H.P., Pickering, M.J., Pearson, J., McLean, J.F., Nass, C.: Syntactic alignment between computers and people: The role of belief about mental states. In: Proceeding of the 25th Annual Conference of the Cognitive Science Society (2003)
Concert Chat (2006), http://www.ipsi.fraunhofer.de/concert/
Blei, D., Ng, A., Jordan, M.: Latent dirichlet allocation. Journal of Machine Learning Research (2003)
Yano, T., Cohen, W., Smith, N.: Predicting response to political blog posts with topic models. In: Proceedings of the 47th Conference of NAACL (2009)
Paul, M., Girju, R.: Topic modeling of research An interdisciplinary perspective. In: Proceedings of the International Conference on Recent Advances in Natural Language (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ai, H., Kumar, R., Nguyen, D., Nagasunder, A., Rosé, C.P. (2010). Exploring the Effectiveness of Social Capabilities and Goal Alignment in Computer Supported Collaborative Learning. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-13437-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13436-4
Online ISBN: 978-3-642-13437-1
eBook Packages: Computer ScienceComputer Science (R0)