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Chapter 5 - Authenticity in Learning Games

Published online by Cambridge University Press:  05 May 2015

Michael Anthony
Affiliation:
SRA’s Learning and Talent Development (L&TD) group
Erin Heiser
Affiliation:
SRA’s Strategy and Performance Group
Terry Chandler
Affiliation:
SRA International
Talib S. Hussain
Affiliation:
Raytheon BBN Technologies
Susan L. Coleman
Affiliation:
Intelligent Decision Systems, Inc.
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Summary

Abstract

With the increase in the use of games for education and training, learning game developers seek to create games that not only teach, but engage and motivate learners.

One attribute often associated with successful and motivating games or training devices is authenticity, also referred to as realism or fidelity. Many falsely equate the amount of realism within a training environment to effective training; the higher the realism, the more effective the training. However, as in other training methodologies, a combination of factors, such as learner expertise, instructional domain, and details related to the knowledge and skills taught, informs the optimal level of authenticity within an effective learning game.

This chapter defines and describes authenticity as the combination of physical and cognitive fidelity. We discuss these concepts and summarize cognitive research related to authenticity and effective learning. Finally, we discuss the decisions a learning game developer makes during different stages of the development process to achieve the optimal blend of authenticity, and ultimately an effective, motivating learning game.

Type
Chapter
Information
Design and Development of Training Games
Practical Guidelines from a Multidisciplinary Perspective
, pp. 121 - 145
Publisher: Cambridge University Press
Print publication year: 2014

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References

Allen, J. A., Hays, R. T., & Buffardi, L. C. (1986). Maintenance training simulator fidelity and individual differences in transfer of training. Human Factors, 28(5), 497–509.CrossRefGoogle Scholar
Anderson, J. R. (1981). Cognitive Skills and Their Acquisition. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Anthony, M. K., & Ashworth, A. R. S. III (2006). Mapping intelligent tutoring system (ITS) constructs to SCORM 2004 data structures. Interservice/Industry Training, Simulation and Education Conference. Orlando.Google Scholar
Anthony, M. K., Chandler, T., & Heiser, E. (2009). A framework for promoting high cognitive performance in instructional games. Interservice/Industry Training, Simulation and Education Conference.Google Scholar
Baddeley, A. D., & Hitch, G. (1974). Working memory. In Bower, G. H. (Ed.), The Psychology of Learning and Motivation: Advances in Research and Theory (vol. 8, pp. 47–89). New York: Academic Press.Google Scholar
Baum, D. R., Riedel, S., Hays, R. T., & Mirabella, A. (1982). Training effectiveness as a function of training device fidelity. ARI Technical Report. 593. Alexandria.Google Scholar
Baxter, H. C., & Lunsford, J. R. (2005). Creating JFACC Aces: Utilizing cognitive requirements to develop effective training simulations. Interservice/Industry Training, Simulation and Education Conference. Orlando.Google Scholar
Bloom, B. S. (1994). Reflections on the development and use of the taxonomy. In Anderson, L. W. & Sosniak, L. A. (Eds.), Bloom’s Taxonomy: A Forty-Year Retrospective. Chicago National Society for the Study of Education.Google Scholar
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook I: Cognitive Domain. New York: Longmans, Green.Google Scholar
Chandler, T. (1990). Analysis of process highlighters in computer simulations: Facilitation of theory-oriented problem-solving. Dissertation presented to the division of Teacher Education and the Graduate School of the University of Oregon, August.
Chandler, T., Anthony, M., & Klinger, D. (December 2009). High cognitive fidelity vs. high physical fidelity in serious games. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC). Orlando.Google Scholar
Chandler, T. N., & Chaille, C. (1993). Process highlighters in a computer simulation: Facilitation of theory-oriented problem-solving. In Seidman, R. H. (Ed.), Journal of Educational Computing Research (pp. 237–263). Amityville, NY: Baywood Publishing Company, Inc.Google Scholar
Chandler, T., Heiser, E., & Anthony, M. (August 2010). Paper presented: ISD standards for game based training: Analysis of instructional attributes of different game types. Interactive Technologies Society for Applied Learning Technologies Conference, Arlington, VA.Google Scholar
Chi, M. T. H., Farr, M. J., & Glaser, R. (Eds.) (1988). The Nature of Expertise. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Clark, R. C. (2008). Building Expertise: Cognitive Methods for Training and Performance Improvement (A Publication of the International Society for Performance Improvement). San Francisco: Pfeiffer.Google Scholar
de Freitas, S., & Jarvis, S. (2006). A framework for developing serious games to meet learner needs. Proceedings of the Interservice/Industry Training, Simulation and Education Conference. Orlando.Google Scholar
de Freitas, S., & Jarvis, S. (2009). Towards a development approach to serious games. In Connolly, T., Standsfield, M., & Boyle, L. (Eds.), Games-based Learning Advancements for Multi-sensory Human Computer Interfaces: Techniques and Effective Practices. Hershey, PA: Information Science Reference.Google Scholar
Egnefeldt-Nielsen, S., Heide Smith, J., & Pajares Tosca, S. (2008). Understanding Video Games: The Essential Introduction. New York: Routledge.Google Scholar
Erickson, K. A. (2003). The search for general abilities and basic capabilities: Theoretical implications from the modifiability and complexity of mechanisms mediating expert performance. In Sternberg, R. J. & Grigorenko, E. L. (Eds.), The Psychology of Abilities, Competencies, and Expertise. Cambridge: Cambridge University Press.Google Scholar
EuclideonOfficial (2011, August 1). Unlimited detail real-time rendering technology preview 2011[HD]. Retrieved from .
Fernandez, A. (2006, November 2). Re: Cognitive training for basketball game-intelligence: Interview with Prof. Daniel Gopher [Web log message]. Retrieved from .
Gagne, R. M. (1954). Training devices and simulators: Some research issues. American Psychologist, 9(7), 95–107.CrossRefGoogle Scholar
Gamezone (GZ) (2003, July 3). Interview: Louis Bedigian interviews James Gee..
Gee, J. P. (2003). What Video Games have to Teach Us about Learning and Literacy. New York: Palgrave Macmillan.Google Scholar
Gee, J. P. (2007). Good video games and good learning. .CrossRef
Goettl, B. P., Ashworth, A. R. S. III, & Chaiken, S. R. (2007). Advanced distributed learning for team training in command and control applications. In Fiore, S. & Salas, E. (Eds.), Toward a Science of Distributed Learning and Training. Washington, DC: American Psychological Association.Google Scholar
Gopher, D. (2006). Emphasis change as a training protocol for high demands tasks. In Kramer, A., Wiegman, D., & Kirlik, A. (Eds.), Attention: From Theory to Practice. Oxford Psychology Press.CrossRefGoogle Scholar
Gopher, D., Weil, M., & Bareket, T. (1994). Transfer of skill from a computer game trainer to flight. Human Factors, 36(3).CrossRefGoogle Scholar
Grunwald, W. (1968). An investigation of the effectiveness of training devices with varying degrees of fidelity. Doctoral Thesis. University of Oklahoma.
Hays, R. T., & Singer, M. J. (1989). Simulation Fidelity in Training Systems Design. New York: Springer-Verlag.CrossRefGoogle Scholar
Hussain, T. S., Roberts, B., Bowers, C., Cannon-Bowers, J. A., Menaker, E., Coleman, S., Murphy, C., Pounds, K., Koenig, A., Wainess, R., & Lee, J. (2012). Designing and developing effective training games for the US Navy. M&S Journal, Spring, 27–43.Google Scholar
Klahr, D., & Kotovysky, K. (Eds.) (1989). Complex Information Processing: The Impact of Herbert A. Simon. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Klein, G. (1992). Using knowledge engineering to preserve corporate memory. In Hoffman, R. R. (Ed.), The Psychology of Expertise: Cognitive Research and Empirical AI. New York: Springer-Verlag.Google Scholar
Klein, G., & Baxter, H. (2006). Cognitive transformation theory: Contrasting cognitive and behavioral learning. Proceedings of the Interservice /Industry Training, Simulation and Education Conference. Orlando.Google Scholar
Martin, E. L., & Waag, W. L. (1978). Contributions of platform motion to simulator training effectiveness: Study 1-basic contact. Report AFHRL-TR-78–15. Brooks Air Force Base, TX: Air Force Human Resources Laboratory.CrossRef
Mayer, R. E. (Ed.) (2005). Cambridge Handbook of Multimedia Learning. New York: Cambridge University Press.CrossRefGoogle Scholar
Procci, K., Blair, L., & Bowers, C. A. (2010, October). Cognitive load and the role of fidelity in training games: Lessons learned from the Bullseye Trainer. Poster session presented at Meaningful Play, East Lansing, MI.
Roman, P. A., & Brown, D. (2008). Games – just how serious are they? Proceedings of the Interservice/Industry Training, Simulation and Education Conference. Orlando.Google Scholar
Romiszowski, A. J. (1993). Psychomotor Principles. In Fleming, M. & Levie, W. H. (Eds.), Instructional Message Design: Principles from the Behavioral and Cognitive Sciences. 2nd Edition. Educational Technology.Google Scholar
Singer, M. J., & Perez, R. S. (1986). A demonstration of an expert system for training device design. Journal of Computer-Based Instruction, 13(2).Google Scholar
Smode, A. F. (1971). Human Factors Inputs to the Training Device Design Process. Orlando: Naval Training Equipment Center.CrossRefGoogle Scholar
Smode, A. F. (1972). Training Device Design: Human Factors Requirements in the Technical Approach. Orlando: Naval Training Equipment Center.Google Scholar
Sternberg, R. J. (2003). Cognitive Psychology. 3rd Edition. Thomson Wadsworth.Google Scholar
White, B. Y. (1981). Designing computer games to facilitate learning. Dissertation Thesis Presented to the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, January 16.
Wickens, C. D., & McCarley, J. S. (2008). Applied Attention Theory. CRC Press.Google Scholar

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