A case study on using prediction markets as a rich environment for active learning

In this paper, prediction markets are presented as an innovative pedagogical tool which can be used to create a Rich Environment for Active Learning (REAL). Prediction markets are designed to make forecasts about specific future events by using a market mechanism to aggregate the information held by a large group of traders about that event into a single value. Prediction markets can be used to create decision scenarios which are linked to real-world events. The advantages of this approach in the cognitive and affective domains of learning are examined. The unique ability of prediction markets to enable active learning in large group teaching environments is explored. Building on this theoretical work, a detailed case study is presented describing how a prediction market can be deployed as a pedagogical tool in practice. Empirical evidence is presented exploring the effect prediction market participation has on learners in the cognitive domain.

[1]  Gary J. Anglin.  Instructional technology : past, present, and future , 1995 .

[2]  Paul C. Tetlock,et al.  Information Markets: A New Way of Making Decisions , 2006 .

[3]  P. Simons,et al.  Constructive Learning: The Role of the Learner , 1993 .

[4]  Ilias P. Tatsiopoulos,et al.  PREDICTION MARKETS: AN EXTENDED LITERATURE REVIEW , 2007 .

[5]  Chin-Chung Tsai,et al.  Research and trends in the field of e-learning from 2001 to 2005: A content analysis of cognitive studies in selected journals , 2008, Comput. Educ..

[6]  Chin-Chung Tsai,et al.  The preferences toward constructivist Internet-based learning environments among university students in Taiwan , 2008, Comput. Hum. Behav..

[7]  Stephen Bostock,et al.  Constructivism in Mass Higher Education: a Case Study , 1998, Br. J. Educ. Technol..

[8]  David C. Sharp,et al.  More Than Fun and Games: Reconsidering the Virtues of Strategic Management Simulations , 2005 .

[9]  Martin Oliver,et al.  "But my subject's different": a web-based approach to supporting disciplinary lifelong learning skills , 2002, Comput. Educ..

[10]  David M. Pennock,et al.  Prediction Markets: Does Money Matter? , 2004, Electron. Mark..

[11]  Jean-François Rouet,et al.  Introduction to "Learning with ICT: New perspectives on help seeking and information searching" , 2009, Comput. Educ..

[12]  Joanna C. Dunlap,et al.  Rich environments for active learning: a definition , 1995 .

[13]  S. Engel.  Thought and Language , 1964 .

[14]  David H. Jonassen,et al.  Designing Environments for Constructive Learning , 2012, NATO ASI Series.

[15]  Pierre Dillenbourg,et al.  What we know about CSCL and implementing it in higher education , 2004 .

[16]  David J. Lemak,et al.  Technology, Transactional Distance, and Instructor Effectiveness: An Empirical Investigation , 2005 .

[17]  D. Jonassen.  Thinking Technology: Toward a Constructivist Design Model , 1994 .

[18]  G. Wiggins.  A True Test: Toward More Authentic and Equitable Assessment , 2011 .

[19]  Raquel Benbunan-Fich.  Improving education and training with IT , 2002, CACM.

[20]  G. Stahl.  Building collaborative knowing: elements of a social theory of CSCL , 2004 .

[21]  Qiyun Wang,et al.  Design and evaluation of a collaborative learning environment , 2009, Comput. Educ..

[22]  Philip F. O'Connor,et al.  THE TRADESPORTS NFL PREDICTION MARKET: AN ANALYSIS OF MARKET EFFICIENCY, TRANSACTION COSTS, AND BETTOR PREFERENCES , 2012 .

[23]  Lisa A. Burke,et al.  A Perennial Dilemma in OB Education: Engaging the Traditional Student , 2003 .

[24]  R. Hanson.  LOGARITHMIC MARKETS CORING RULES FOR MODULAR COMBINATORIAL INFORMATION AGGREGATION , 2012 .

[25]  Nancy J. Hadley.  An Empowering Pedagogy Sequence for Teaching Technology , 2002 .

[26]  Vian Ahmed,et al.  Use of a simulation game in delivering blended lifelong learning in the construction industry - Opportunities and Challenges , 2008, Comput. Educ..

[27]  F. Hayek.  The economic nature of the firm: The use of knowledge in society , 1945 .

[28]  Bruce Gurney,et al.  Constructivism and Professional Development: A Stereoscopic View. , 1989 .

[29]  J. Wolfers,et al.  Prediction Markets , 2003 .

[30]  Richard Kwiatkowski,et al.  Emotional Aspects of Large Group Teaching , 1998 .

[31]  David M. Pennock.  A dynamic pari-mutuel market for hedging, wagering, and information aggregation , 2004, EC '04.

[32]  Parshotam Dass,et al.  Improving Students’ Self-Efficacy in Strategic Management: The Relative Impact of Cases and Simulations , 2000 .

[33]  R. Kolb,et al.  Understanding Futures Markets , 1985 .

[34]  Alan Jenkins,et al.  Teaching Large Classes in Higher Education : How to Maintain Quality with Reduced Resources , 1992 .

[35]  J. D. Christiansen,et al.  Prediction Markets: Practical Experiments in Small Markets and Behaviours Observed , 2012 .

[36]  Caroline J. Roettger,et al.  Teaching: more than just lecturing , 2007, Journal of University Teaching and Learning Practice.

[37]  David Lebow,et al.  Constructivist values for instructional systems design: Five principles toward a new mindset , 1993 .

[38]  Joanna C. Dunlap,et al.  Rich environments for active learning in action: problem-based learning , 1997 .

[39]  Thomas A. Rietz,et al.  Prediction market accuracy in the long run , 2008 .