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Prediction markets for education: an experimental study

Prediction markets for education: an experimental study Prediction Markets for Education: An Experimental Study CALI MORTENSON ELLIS Departments of Public Policy and Political Science, University of Michigan and RAHUL SAMI School of Information, University of Michigan In this letter, we report the results of a quasi-experimental study of prediction markets as a pedagogical tool in an undergraduate setting. Categories and Subject Descriptors: K.3.1 [Computing Milieux]: Computer Uses in Education ”Collaborative Learning General Terms: Experimentation, Human Factors Additional Key Words and Phrases: prediction markets In this letter, we summarize our recent work on using a popular forecasting tool, prediction markets, to supplement classroom learning. A full description of the experiment and results is forthcoming [Ellis and Sami 2012]; a short preliminary version appeared in the proceedings of the Computer Supported Collaborative Learning (CSCL) 2011 conference [Ellis and Sami 2011]. In contrast to most prior empirical research on prediction markets, which has focused on market outcomes and accuracy, we concentrate on the e €ect of the market on the traders themselves, as well as on characterizing the self-selected group of traders within the larger group of potential traders. Thus, these results may also be of interest to practitioners outside of the educational domain. Prediction markets are widely http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

Prediction markets for education: an experimental study

ACM SIGecom Exchanges , Volume 10 (3) – Dec 1, 2011

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1551-9031
DOI
10.1145/2325702.2325709
Publisher site
See Article on Publisher Site

Abstract

Prediction Markets for Education: An Experimental Study CALI MORTENSON ELLIS Departments of Public Policy and Political Science, University of Michigan and RAHUL SAMI School of Information, University of Michigan In this letter, we report the results of a quasi-experimental study of prediction markets as a pedagogical tool in an undergraduate setting. Categories and Subject Descriptors: K.3.1 [Computing Milieux]: Computer Uses in Education ”Collaborative Learning General Terms: Experimentation, Human Factors Additional Key Words and Phrases: prediction markets In this letter, we summarize our recent work on using a popular forecasting tool, prediction markets, to supplement classroom learning. A full description of the experiment and results is forthcoming [Ellis and Sami 2012]; a short preliminary version appeared in the proceedings of the Computer Supported Collaborative Learning (CSCL) 2011 conference [Ellis and Sami 2011]. In contrast to most prior empirical research on prediction markets, which has focused on market outcomes and accuracy, we concentrate on the e €ect of the market on the traders themselves, as well as on characterizing the self-selected group of traders within the larger group of potential traders. Thus, these results may also be of interest to practitioners outside of the educational domain. Prediction markets are widely

Journal

ACM SIGecom ExchangesAssociation for Computing Machinery

Published: Dec 1, 2011

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