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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Dynamical Model for Gamification: Optimization of Four Primary Factors of Learning Games for Educational Effectiveness
verfasst von : Jung Tae Kim, Won-Hyung Lee
Erschienen in: Computer Applications for Graphics, Grid Computing, and Industrial Environment
Verlag: Springer Berlin Heidelberg
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This paper proposes a dynamical model for the gamification of learning. The main idea of this model is based on the correlations of four primary factors (curiosity, challenge, fantasy and control) originating from digital games which are built on the foundations of separate theories: 1) Game Design Features, 2) Key Characteristics of a Learning Game, 3) ARCS Model, and 4) MDA framework. Through this dynamical model, we will show that the effectiveness of the gamification of learning is educationally superior to traditional ways of learning in a specific setting, after an elapsed adaptive time period with a reasonable relationship of the four primary factors. The model presents the meaningful positions of four primary factors on the equation for educational effectiveness of gamification. We posit that this dynamical model for the gamification can strengthen the ‘theoretical foundation’ of gamification as well as spread the idea of ‘the pure and right function of game’.