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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Blair, Alasdair 2015. Similar or Different?: A Comparative Analysis of Higher Education Research in Political Science and International Relations between the United States of America and the United Kingdom. Journal of Political Science Education, Vol. 11, Issue. 2, p. 174.


    Buckley, Patrick and Doyle, Elaine 2014. Gamification and student motivation. Interactive Learning Environments, p. 1.


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Learning Political Science with Prediction Markets: An Experimental Study

  • Cali Mortenson Ellis (a1) and Rahul Sami (a1)
  • DOI: http://dx.doi.org/10.1017/S1049096511002113
  • Published online: 14 March 2012
Abstract
Abstract

Prediction markets are designed to aggregate the information of many individuals to forecast future events. These markets provide participants with an incentive to seek information and a forum for interaction, making markets a promising tool to motivate student learning. We carried out a quasi-experiment in an introductory political science class to study the effect of prediction markets on student engagement with the course topics. Although we found no significant improvement in students' enthusiasm or extent of topical reading, we did find that those students who were already reading broadly at the course start were more likely to trade actively in the markets. These findings indicate that prediction markets may be most successful as an education tool in settings, like graduate education, where individuals are already knowledgeable about the topics of the market, instead of an introductory learning context.

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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

Patrick Buckley , John Garvey , and Fergal McGrath . 2011. “A Case Study on Using Prediction Markets as a Rich Environment for Active Learning.” Computers & Education 56: 418–28.

T. G. Duncan , and Wilbert J. McKeachie . 2005. “The Making of the Motivated Strategies for Learning Questionnaire.” Educational Psychologist 40 (2): 117–28.

R. Hanson 2003. “Combinatorial Information Market Design.” Information Systems Frontiers 5 (1): 107–19.

Paul R. Pintrich , David A. F. Smith , Teresa Garcia , and Wilbert J. McKeachie . 1993. “Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (MSLQ).” Educational and Psychological Measurement 53 (3): 801–13.

Emile Servan-Schreiber , Justin Wolfers , David M. Pennock , and Brian Galebach . 2004. “Prediction Markets: Does Money Matter?Electronic Markets 14 (3): 243–51.

Cass R. Sunstein 2006. “Deliberating Groups versus Prediction Markets (or Hayek's Challenge to Habermas).” Episteme: A Journal of Social Epistemology 3 (3): 192213.

Justin Wolfers , and Eric Zitzewitz . 2004. “Prediction Markets.” Journal of Economic Perspectives 18 (2): 107–26.

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PS: Political Science & Politics
  • ISSN: 1049-0965
  • EISSN: 1537-5935
  • URL: /core/journals/ps-political-science-and-politics
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