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Structure and messaging techniques for online peer learning systems that increase stickiness

Published: 14 March 2015 Publication History

Abstract

When students work with peers, they learn more actively, build richer knowledge structures, and connect material to their lives. However, not every peer learning experience online sees successful adoption. This paper articulates and addresses three adoption challenges for global-scale peer learning. First, peer interactions struggle to bootstrap critical mass. However, class incentives can signal importance and spur initial usage. Second, online classes have limited peer visibility and awareness, so students often feel alone even when surrounded by peers. We find that highlighting interdependence and strengthening norms can mitigate this issue. Third, teachers can readily access "big" aggregate data but not "thick" contextual data that helps build intuitions, so software should guide teachers' scaffolding of peer interactions. We illustrate these challenges through studying 8,500 students' usage of two peer learning platforms, Talkabout and PeerStudio. This paper measures efficacy through sign-up and participation rates and the structure and duration of student interactions.

References

[1]
Bakshy, E., Karrer, B., and Adamic, L.A. Social influence and the diffusion of user-created content. Proceedings of the 10th ACM conference on Electronic commerce, (2009), 325--334.
[2]
Bransford, J., Brown, A., and Cocking, R. How People Learn. 2000.
[3]
Bransford, J. and Schwartz, D.L. Rethinking Transfer: A Simple Proposal with Multiple Implications. Review of Research in Education 24, (1999), 61--100.
[4]
Breslow, L., Pritchard, D., DeBoer, J., Stump, G., Ho, A., and Seaton, D. Studying learning in the worldwide classroom: Research into edX's first MOOC. 2013.
[5]
Cambre, J., Kulkarni, C., Bernstein, M.S., and Klemmer, S.R. Talkabout: Small-group Discussions in Massive Global Classes. Learning@Scale, (2014).
[6]
Chen, M. Design of a virtual auditorium. MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia, (2001), 19--28.
[7]
Cheng, J., Adamic, L., Dow, P., Kleinberg, J., and Leskovec, J. Can cascades be predicted? Proceedings of the 23rd international conference on World wide web, (2014), 925--936.
[8]
Cialdini, R. and Goldstein, N. Social influence: Compliance and conformity. Annual review of psychology 55, (2004), 591--62.
[9]
Coetzee, D., Fox, A., Hearst, M.A., and Hartmann, B. Chatrooms in MOOCs: all talk and no action. Proc. of the ACM conference on Learning @ scale, ACM Press (2014), 127--36.
[10]
Coetzee, D., Lim, S., Fox, A., Hartmann, B., and Hearst, M.A. Structuring Interactions for Large-Scale Synchronous Peer Learning. CSCW: ACM Conference on Computer Supported Collaborative Work, (2015).
[11]
Crouch, C.H. and Mazur, E. Peer Instruction: Ten years of experience and results. American Journal of Physics 69, 9 (2001), 970.
[12]
Dourish, P. and Bell, G. The infrastructure of experience and the experience of infrastructure: meaning and structure in everyday encounters with space. Environment and Planning B Planning and Design 34, 3 (2007), 414.
[13]
Dourish, P. and Bellotti, V. Awareness and coordination in shared workspaces. Proceeding CSCW '92 Proceedings of the 1992 ACM conference on Computer-supported cooperative work, (1992), 107--114.
[14]
Erickson, T. and Kellogg, W. Social translucence: an approach to designing systems that support social processes. ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1 7, 1 (2000), 59--83.
[15]
Greenberg, S. Embedding a design studio course in a conventional computer science program. In Creativity and HCI: From Experience to Design in Education. Springer, 2009, 23--41.
[16]
Grudin, J. Groupware and social dynamics: eight challenges for developers. Communications of the ACM 37, 1 (1994), 92--105.
[17]
Kizilcec, R.F. and Schneider, E. Motivation as a Lens to Understand Online Learners: Towards Data-Driven Design with the OLEI Scale.
[18]
Klemmer, S.R., Hartmann, B., and Takayama, L. How bodies matter: five themes for interaction design. Proceedings of the 6th conference on Designing Interactive systems, (2006), 140--149.
[19]
Klemmer, S.R. Katayanagi Lecture at Carnegie Mellon University: The Power of Examples.
[20]
Konstan, J.A., Walker, J.D., Brooks, D.C., Brown, K., and Ekstrand, M.D. Teaching recommender systems at large scale. Proc of the ACM conference on Learning @ scale conference, ACM Press (2014).
[21]
Kraut, R.E., Resnick, P., Kiesler, S., Burke, M., Chen, Y., Kittur, N., Konstan, J., Ren, Y., and Riedl, J. Building Successful Online Communities: Evidence-Based Social Design (Google eBook). MIT Press, 2012.
[22]
Kulkarni, C., Cambre, J., Kotturi, Y., Bernstein, M., and Klemmer, S. Talkabout: Making distance matter with small groups in massive classes. CSCW: ACM Conference on Computer Supported Collaborative Work, (2015).
[23]
Kulkarni, C., Wei, K.P., Le, H., Chia, D., Papadopoulos, K., Cheng, J., Koller, D., and Klemmer, S.R. Peer and self assessment in massive online classes. ACM Transactions on Computer-Human Interaction (TOCHI) 20, 6 (2013), 33.
[24]
>Ling, K. and Beenen, G. Using Social Psychology to Motivate Contributions to Online Communities. Journal of Computer-Mediated Communication 10, 4 (2005), 00.
[25]
O'Donnell, A.M. and Dansereau, D.F. Scripted cooperation in student dyads: A method for analyzing and enhancing academic learning and performance. In Interaction in cooperative groups: The theoretical anatomy of group learning. Cambridge University Press, Cambridge, UK, 1995, 120--141.
[26]
Porter, L., Lee, C.B., and Simon, B. Halving fail rates using peer instruction: a study of four computer science courses. Proceeding SIGCSE '13 Proceeding of the 44th ACM technical symposium on Computer science education, (2013), 177--182.
[27]
Rosenberg, J., Lorenzo, M., and Mazur, E. Peer instruction: Making science engaging. Handbook of college science teaching, (2006), 77--85.
[28]
Smith, M., Wood, W., Adams, W., Wieman, C., Knight, J., Guild, N., and Su, T. Why Peer Discussion Improves Student Performance on In-Class Concept Questions. Science 323, 5910 (2009), 122--124.
[29]
Stephens-Martinez, K., Hearst, M.A., and Fox, A. Monitoring MOOCs: which information sources do instructors value? Proceedings of the first ACM conference on Learning @ scale conference, (2014), 79--88.
[30]
Turkle, S. Alone Together: Why We Expect More from Technology and Less from Each Other. Basic Books, 2011.

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    cover image ACM Conferences
    L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale
    March 2015
    438 pages
    ISBN:9781450334112
    DOI:10.1145/2724660
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    Published: 14 March 2015

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    Author Tags

    1. online education
    2. peer learning
    3. social learning.

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    L@S 2015: Second (2015) ACM Conference on Learning @ Scale
    March 14 - 18, 2015
    BC, Vancouver, Canada

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    L@S '15 Paper Acceptance Rate 23 of 90 submissions, 26%;
    Overall Acceptance Rate 117 of 440 submissions, 27%

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