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Peers in MOOCs: Lessons Based on the Education Production Function, Collective Action, and an Experiment

Published:14 March 2015Publication History

ABSTRACT

Economic theory about peers can help learning scientists and designers scale their work from the scale of small classrooms to limitless learning experiences. I propose: 1. We may increase productivity in online learning by changing technologies around peers; many structures around peers can scale with class size. 2. It is not always in students' best interests to be good peers, and collective action failures may worsen with class size. I conducted an experiment in a NovoEd MOOC for teachers that was motivated by these propositions; it leads to future questions about unintended and emergent effects.

References

  1. Afuah, A. Are network effects really all about size? The role of structure and conduct. Strategic Management Journal 34 (2013), 257--273.Google ScholarGoogle ScholarCross RefCross Ref
  2. Agrawal, R., Golshan, B., and Terzi, E. Forming beneficial teams of students in massive online classes. In L@S, ACM Press (New York, New York, USA, 2014), 155--156. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bowen, W. G. The "Cost Disease" in Higher Education: Is Technology the Answer? Tech. Rep. October, The Tanner Lectures, Stanford University, 2012.Google ScholarGoogle Scholar
  4. Bowles, S. Towards an educational production function. In Education, income, and human capital, W. L. Hanson, Ed., vol. I. National Bureau of Economic Research, 1970, 9--70.Google ScholarGoogle Scholar
  5. Brooks, C., Teasley, S. D., Lonn, S., and Koo, E. Educational Discourse at Scale: Design Considerations to Support Discussions in Massive Open Online Course (MOOC) Environments. Innovation at Scale Workshop at CHI (2014).Google ScholarGoogle Scholar
  6. Cambre, J., Kulkarni, C., Bernstein, M. S., and Klemmer, S. R. Talkabout : Small-group Discussions in Massive Global Classes. In L@S 2014 (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Duflo, E., Glennerster, R., and Kremer, M. Using randomization in development economics: A toolkit. Handbook of Development Economics 4, 07 (2008), 3895--3962.Google ScholarGoogle Scholar
  8. Goel, A., and Ronaghi, F. A Game-Theoretic Model of Attention in Social Networks. In Algorithms and Models for the Web Graph: WAW 2012, Springer Berlin Heidelberg (2012), 78--92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Goetze, D. Comparing Prisoner's Dilemma, Commons Dilemma, and Public Goods Provision Designs in Laboratory Experiments. Journal of Conflict Resolution 38, 1 (Mar. 1994), 56--86.Google ScholarGoogle ScholarCross RefCross Ref
  10. Goldstein, J. Emergence as a Construct: History and Issues. Emergence 1, 1 (1999), 49--72.Google ScholarGoogle Scholar
  11. Hmelo-Silver, C. E., Rosé, C. P., and Levy, J. Fostering a Learning Community in MOOCs. In LAK Workshops (2014).Google ScholarGoogle Scholar
  12. Huang, J., Dasgupta, A., Ghosh, A., Manning, J., and Sanders, M. Superposter behavior in MOOC forums. In L@S '14, ACM Press (New York, New York, USA, 2014), 117--126. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Katz, M. L., and Shapiro, C. Network Externalities, Competition, and Compatibility. American Economic Review 75, 3 (1985), 424--440.Google ScholarGoogle Scholar
  14. Kizilcec, R. F., Piech, C., and Schneider, E. Deconstructing Disengagement: Analyzing Learner Subpopulations in Massive Open Online Courses. In Proceedings of the Third International Conference on Learning Analytics and Knowledge, ACM (New York, NY, USA, 2013), 170--179. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Ledyard, J. Public Goods: A Survey of Experimental Research. In The Handbook of Experimental Economics, A. E. Roth and J. H. Kagel, Eds., vol. 85. Princeton University Press, Princeton, NJ, 1995, 111--194.Google ScholarGoogle Scholar
  16. Lim, S., Coetzee, D., Hartmann, B., Fox, A., and Hearst, M. A. Initial experiences with small group discussions in MOOCs. In L@S '14, ACM Press (New York, New York, USA, 2014), 151--152. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Mas-Colell, A., Whinston, M. D., and Green, J. R. Microeconomic Theory. Oxford University Press, New York, 1995.Google ScholarGoogle Scholar
  18. Miller, K., Zyto, S., Karger, D., and Mazur, E. Improving online class forums by seeding discussions and managing section size. In L@S, ACM Press (New York, New York, USA, 2014), 173--174. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Rosé, C. P., Carlson, R., Yang, D., Wen, M., Resnick, L., Goldman, P., and Sherer, J. Social factors that contribute to attrition in MOOCs. In L@S, ACM Press (New York, New York, USA, 2014), 197--198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Rosson, M. B. Building Community within Large Groups of Online Learners. Innovation at Scale Workshop at CHI (2014).Google ScholarGoogle Scholar
  21. Salmon, G. E-moderating: the key to online teaching and learning, 3rd ed. Routledge, New York, 2011.Google ScholarGoogle Scholar
  22. Siemens, G., and Tittenberger, P. Handbook of Emerging Technologies for Learning. Tech. rep., University of Manitoba, Manitoba, 2009.Google ScholarGoogle Scholar
  23. Speck, J., Gualtieri, E., Naik, G., Nguyen, T., Cheung, K., Alexander, L., and Fenske, D. ForumDash: Analyzing Online Discussion Forums. In L@S (2014), 139--140. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Thille, C., and Smith, J. Learning Unbound: Disrupting the Baumol / Bowen Effect in Higher Education. In Forum Futures 2010 (2009), 31--38.Google ScholarGoogle Scholar
  25. Tinto, V. Student Success and the Building of Involving Educational Communities. 2003.Google ScholarGoogle Scholar
  26. Trumbore, A. Rules of Engagement: Strategies to Increase Online Engagement at Scale. Change: The Magazine of Higher Learning 46, 4 (2014), 38--45.Google ScholarGoogle ScholarCross RefCross Ref
  27. Walker, E., Girotto, V., Zhang, C., Fernandez, A., Chen, G., and Hsieh, G. Understanding Peer Help in an Online Learning Community. In Innovation at Scale Workshop at CHI (2014).Google ScholarGoogle Scholar
  28. Winston, G. C. Subsidies , Hierarchy and Peers: The Awkward Economics of Higher Education. Journal of Economic Perspectives 13, 1 (1999), 13--36.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      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

      Copyright © 2015 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 March 2015

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      Acceptance Rates

      L@S '15 Paper Acceptance Rate23of90submissions,26%Overall Acceptance Rate117of440submissions,27%

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