This paper proposes a computational modelling approach for investigating the interplay of learning and playing in serious games. A formal model is introduced that allows for studying the details of playing a serious game under diverse conditions. The dynamics of player action and motivation is based on cognitive flow theory, which is expressed in quantitative terms for this purpose. Seven extensive simulation studies involving over 100,000 iterations have demonstrated the stability of the model and its potential as a research instrument for serious gaming. The model allows researchers to deeply investigate quantitative dependences between relevant game variables, gain deeper understanding of how people learn from games, and develop approaches to improving serious game design. Wim Westera is full a professor in learning media, specialised in media for education, in particular gaming and simulation. He holds a PhD in physics and mathematics, and has worked in educational media development and educational technology since the 1980s. He is leading RAGE, which is the principal H2020 research project on applied gaming (rageproject.eu).
A provisional version of a computational model for serious gaming was proposed and successfully tested by REF .
How people learn while playing serious games: A computational modelling approach
J. Comput. Sci.
J. Comput. Sci.
Computer Science