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Classifying Serious Games: The G/P/S Model

Classifying Serious Games: The G/P/S Model

Damien Djaouti, Julian Alvarez, Jean-Pierre Jessel
Copyright: © 2011 |Pages: 19
ISBN13: 9781609604950|ISBN10: 1609604954|EISBN13: 9781609604967
DOI: 10.4018/978-1-60960-495-0.ch006
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MLA

Djaouti, Damien, et al. "Classifying Serious Games: The G/P/S Model." Handbook of Research on Improving Learning and Motivation through Educational Games: Multidisciplinary Approaches, edited by Patrick Felicia, IGI Global, 2011, pp. 118-136. https://doi.org/10.4018/978-1-60960-495-0.ch006

APA

Djaouti, D., Alvarez, J., & Jessel, J. (2011). Classifying Serious Games: The G/P/S Model. In P. Felicia (Ed.), Handbook of Research on Improving Learning and Motivation through Educational Games: Multidisciplinary Approaches (pp. 118-136). IGI Global. https://doi.org/10.4018/978-1-60960-495-0.ch006

Chicago

Djaouti, Damien, Julian Alvarez, and Jean-Pierre Jessel. "Classifying Serious Games: The G/P/S Model." In Handbook of Research on Improving Learning and Motivation through Educational Games: Multidisciplinary Approaches, edited by Patrick Felicia, 118-136. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-495-0.ch006

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Abstract

The purpose of this chapter is to introduce an overall classification system for Serious Games. ?The intention of this classification is to guide people through the vast field of Serious Games by providing them with a general overview. For example, it may appeal to teachers who wish to find games with strong educational potential though they may be outside the “edugames” field. This chapter will start by discussing the definition of Serious Games, and define them as having a combination of “serious” and “game” aspects. This theoretical framework will be used to review previous classification systems and discuss their limitations. It will then introduce a new classification that addresses a number of these limitations: the G/P/S model. This classifies games according to both their “serious-related” and “game-related” characteristics, and combines the strengths of several previous classification systems.

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