An Evolving Design Framework for Game-Based Learning Platforms
In this concluding chapter, we discuss an evolving, experiential design framework for game-based learning platforms, by synthesizing the salient design problem-solving events, experiences, and solution-exploration findings reported in the previous chapters. It is not aimed to be prescriptive or exhaustive, but acts as a starting point for specifying the structuring and important concepts of the interdisciplinary design of game-based learning. Results of our phenomenological inquiry assert that solving a game design problem is mainly about problem structuring or transforming an indeterministic problem space to partially limited. The structuring of the interdisciplinary design of game-based learning platforms consists of three norms: (a) transformation of the design goals into functional specifications of the design artifact, (b) coevolution of the problem and solution spaces as well as exploration and syntheses of partial solution of the subproblems, and (c) use of a common symbol (or representation) system to communicate and focus information while augmenting collective memory and processing.
KeywordsDesign problem space Design model Representation Meaningful play Game design space
- Alexander, C. (1964). Notes on the synthesis of form. Cambridge, MA: Harvard University Press.Google Scholar
- Brown, D. C., & Chandrasekaran, B. (2014). Design problem solving: Knowledge structures and control strategies. San Mateo, CA: Morgan Kaufmann.Google Scholar
- Butler, E., Andersen, E., Smith, A. M., Gulwani, S., & Popović, Z. (2015, April). Automatic game progression design through analysis of solution features. In Proceedings of the 33rd annual ACM conference on human factors in computing systems (pp. 2407–2416). New York: ACM.Google Scholar
- Nelson, M. J., & Mateas, M. (2007, September). Towards automated game design. In Congress of the Italian Association for Artificial Intelligence (pp. 626–637). Berlin/Heidelberg, Germany: Springer.Google Scholar
- Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
- Salen, K., & Zimmerman, E. (2005). Game design and meaningful play. In J. Raessens & J. Goldstein (Eds.), Handbook of computer game studies (pp. 59–79). Cambridge, MA: MIT Press.Google Scholar
- Togelius, J., & Schmidhuber, J. (2008, December). An experiment in automatic game design. In Computational intelligence and games, 2008. CIG'08. IEEE symposium (pp. 111–118). https://doi.org/10.1109/CIG.2008.5035629. IEEE Xplore.
- Yin, R. (2003). Case study research (3rd ed.). Thousand Oaks, CA: Sage.Google Scholar