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Assessing EU Simulations: Evidence from the Trans-Atlantic EuroSim

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Teaching and Learning the European Union

Part of the book series: Innovation and Change in Professional Education ((ICPE,volume 9))

Abstract

Simulations have become popular teaching tools in political science curricula. In particular, European Studies programs have often been complemented with all kinds of simulation exercises. Proponents argue that simulations have several advantages as teaching tools. This paper investigates pedagogical literature and presents a framework to assess the added value of simulations in European Studies programs. More specifically, the paper evaluates the use of simulations as powerful learning environments and as a way to increase affective learning among political science students. It presents the example of EuroSim, a yearly extended simulation, organized by the Trans-Atlantic Consortium for European Union Studies and Simulations (TACEUSS) by assessing the organization of the event and by using data from pre- and post-simulation surveys among student participants.

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Notes

  1. 1.

    See the Annex for complete descriptive statistics.

  2. 2.

    Due to an approaching snow storm, several schools left early to avoid any travel problems.

References

  • Barr, R., & Tagg, J. (1995). From teaching to learning – A new paradigm for undergraduate education. Change: The Magazine of Higher learning, 27(6), 12–26.

    Article  Google Scholar 

  • Birenbaum, M. (2003). New insights into learning and teaching and their implications for assessment. In F. Dochy, E. Cascalar, & M. Segers (Eds.), Optimizing new modes of assessment: In search for qualities and standards (pp. 13–37). Boston/Dordrecht/London: Kluwer Academic Publishers.

    Chapter  Google Scholar 

  • Bonwell, C. E. J. (1991). Active learning : Creating excitement in the classroom. ASHE-ERIC higher education report 1. Washington, DC: George Washington University.

    Google Scholar 

  • Brown, S. W., & King, F. B. (2000). Constructivist pedagogy and how we learn: Educational psychology meets international study. International Studies Perspectives, 1, 245–254.

    Article  Google Scholar 

  • Cruickshank, D. R., & Telfer, R. (1980). Classroom games and simulations. Theory into Practice, 19(1), 75–80.

    Article  Google Scholar 

  • De Corte, E. (2000). Marrying theory building and the improvement of school practice: A permanent challenge for instructional psychology. Learning and Instruction, 10, 249–266.

    Article  Google Scholar 

  • Dochy, F., & McDowell, L. (1997). Introduction: Assessment as a tool for learning. Studies in Educational Evaluation, 23(4), 279–298.

    Article  Google Scholar 

  • Dougherty, B. K. (2003). Byzantine politics: Using simulations to make sense of the middle east. Political Science and Politics, 36(2), 239–244.

    Google Scholar 

  • Frederking, B. (2005). Simulations and student learning. Journal of Political Science Education, 1, 385–393.

    Article  Google Scholar 

  • Greenblat, C. S. (1973). Teaching with simulation games: A review of claims and evidence. Teaching Sociology, 1(1), 62–83.

    Article  Google Scholar 

  • Greenblatt, C., & Duke, R. D. (Eds.). (1975). Gaming simulations: Rationale, design, and applications. New York: Halsted Press.

    Google Scholar 

  • Ip, A., & Linser, R. (2001). Evaluation of a role-play simulation in political science. The Technology Source. http://ts.mivu.org

  • Jones, R. (2008). Evaluating a cross-S continent EU simulation. Journal of Political Science Education, 4(4), 404–434.

    Article  Google Scholar 

  • Shellman, S. M. (2001). Active learning in comparative politics: A mock German election and coalition-formation simulation. Political Science and Politics, 34(4), 827–834.

    Article  Google Scholar 

  • Shellman, S. M., & KürÅŸad, T. (2006). Do simulations enhance student learning? An empirical evaluation of an IR simulation. Journal of Political Science Education, 2, 19–32.

    Article  Google Scholar 

  • Snyder, K. (2003). Ropes, poles and space. Active learning in business education. Active Learning in Higher Education, 4(2), 159–167.

    Article  Google Scholar 

  • Struyven, K., Dochy, F., Janssens, S., Schelfhout, W., & Gielen, S. (2006). On the dynamics of students’ approaches to learning: The effects of the teaching/learning environment. Learning and Instruction, 16, 279–294.

    Article  Google Scholar 

  • Szafran, R. F., & Mandolini, A. F. (1980). Student evaluations of a simulation game. Teaching Sociology, 8(1), 21–37.

    Article  Google Scholar 

  • Topping, K. (1998). Peer assessment between students in colleges and universities. Review of Educational Research, 68(3), 249–276.

    Article  Google Scholar 

  • Tynjälä, P. (1999). Towards expert knowledge? A comparison between a constructivist and a traditional learning environment in the university. International Journal of Educational Research, 31, 357–442.

    Article  Google Scholar 

  • Tynjälä, P., Välimaa, J., & Sarja, A. (2003). Pedagogical perspectives on the relationships between higher education and working life. Higher Education, 46, 147–166.

    Article  Google Scholar 

  • Vermetten, Y., Vermunt, J., & Lodewijks, H. (2002). Powerful learning environments? How university students differ in their response to instructional measures. Learning and Instruction, 12, 263–284.

    Article  Google Scholar 

  • Woodworth, J. R., Gump, W. R. & Forrester, J. R. (2005). Camelot, A Role-playing Simulation for Political Decision Making. Belmont: Wadsworth.

    Google Scholar 

  • Zeff, E. E. (2003). Negotiating in the European Council: A model European Union format for individual classes. International Studies Perspectives, 4(3), 265–274.

    Article  Google Scholar 

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Bursens .

Editor information

Editors and Affiliations

Annex: Overview EuroSim 2007–2010

Annex: Overview EuroSim 2007–2010

 

EuroSim 2007

EuroSim 2008

EuroSim 2009

EuroSim 2010

Venue

Buffalo, NY, USA

Otzenhausen, Germany

Buffalo, NY, USA

Antwerp, Belgium

Host institution

Canisius College

Trier University/Saarland University

Canisius College

Antwerp University

Simulation theme

Energy policy

CFSP/Kosovo

Fighting crime and terrorism under the Lisbon Treaty

EU-Russia relations

Number of participating students

157

176

217

201

Number of participating institutions (EU/US)

6/11

6/12

9/13

9/11

Participating institutions

Babes-Bolyai University

Canisius College

Alfred University

Alfred University

Canisius College

Cluj University

Canisius College

Canisius College

Colgate University

Colgate University

Cornell University

Colgate University

Cornell University

Cornell University

East Stroudsburg University

Cornell University

East Stroudsburg University

East Stroudsburg University

Hamilton College

East Stroudsburg University Hamilton College

Hamilton College

Hamilton College

Hanze University Groningen

Hanze University Groningen

Niagara University

New York University

London Metropolitan University

Maastricht University

Skidmore College

Niagara University

Maastricht University

New York University

St. John Fisher College

Skidmore College

New York University

Niagara University

SUNY Brockport

St. John Fisher College

Niagara University

Skidmore College

SUNY Geneseo

SUNY Brockport

Northeastern Illinois Univ.

St. John Fisher College

 

University of Antwerp

SUNY Geneseo

Skidmore College

SUNY Brockport

University of Lower Silesia

University of Antwerp

St. John Fisher College

University of Antwerp

University of Saarland

University of Lower Silesia

SUNY Brockport

University of Bremen

University of Trier

University of Saarland

SUNY Geneseo

University of Salford University of Lower Silesia University of Saarland University of Trier

University of Twente

University of Trier

University of Antwerp

University of Twente

Widener University

University of Twente

University of Bremen

Widener University

Widener University

University of Lower Silesia

University of Saarland

University of Trier

University of Twente

Widener University

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Jones, R., Bursens, P. (2014). Assessing EU Simulations: Evidence from the Trans-Atlantic EuroSim. In: Baroncelli, S., Farneti, R., Horga, I., Vanhoonacker, S. (eds) Teaching and Learning the European Union. Innovation and Change in Professional Education, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7043-0_10

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