Game Design and Development for Learning Physics Using the Flow Framework
Instruction, in several knowledge domains, aims at achieving two goals: acquisition of a body of knowledge and of problem solving skills in the field. In physics, this requires students to connect physical phenomena, physics principles, and physics symbols. This can be learned on paper, but interactive tools may increase the learner’s ability to contextualize the problem. Computer simulations provide students with graphical models that join phenomena and principles in physics. However, a minimally guided approach may make learning difficult, since it overburdens the working memory. In particular, for developing problem solving skills, students need to be guided and exercise with a variety of physics problems. Intelligent tutoring systems (ITS) can be a useful tool to fill this gap. Thus, we have developed a physics game to support inquiry learning and retrieval practicing using simulation and knowledge based tutorship (QTut), and implemented as a puzzle game that uses driving questions to encourage students to explore the simulation. To address scalability and reusability, the game features different difficulty levels atop of a customizable format. This allows us to explore in-game adaptivity, exploiting task and user models that rely on the flow framework. User tests are being executed to evaluate the usefulness of the game.
KeywordsRetrieval Practice Intelligent Tutoring System Educational Game Symbolic Level Game Mechanic
This work was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments, which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA n 2010-0012. This work also is co-funded by the EU under the FP7, in the Games and Learning Alliance (GaLA) Network of Excellence, Grant Agreement nr. 258169.
- 8.Kolb, D.A., et al.: Experiential Learning: Experience as the Source of Learning and Development, vol. 1. Prentice-Hall Englewood Cliffs, Upper Saddle River (1984)Google Scholar
- 9.Csikszentmihalyi, I.S.: Optimal Experience: Psychological Studies of Flow in Consciousness. Cambridge University Press, Cambridge (1992)Google Scholar
- 10.Pranantha, D., Bellotti, F., Berta, R., DeGloria, A.: A format of serious games for higher technology education topics: a case study in a digital electronic system course. In: International Conference on Advanced Learning Technologies, pp. 13–17, Rome. IEEE (2012)Google Scholar
- 11.Elam, K.: Grid Systems: Principles of Organizing Type (Design Briefs). Princeton Architectural Press, New York (2004)Google Scholar
- 12.Wensveen, S.A.G., Djajadiningrat, J.P., Overbeeke, C.J.: Interaction frogger: a design framework to couple action and function through feedback and feedforward. In: Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 177–184, New York, NY. ACM (2004)Google Scholar
- 14.Bellotti, F., Kapralos, B., Lee, K., Moreno-Ger, P., Berta, R.: Assessment in and of serious games: an overview. Adv. Hum. Comput. Interact. 2013, 1 (2013)Google Scholar