Simulation-driven optimisation in didactic game design∗

Abstract

In educational settings, the utilisation of didactic games is a growing trend. Modifying existing games often proves inadequate for addressing certain complex course materials, necessitating the development of original didactic games with novel sets of rules. The design of such games is a challenging endeavour fraught with potential pitfalls. The fine-tuning of new games typically involves extensive trial and error, a process that is both time-consuming and labour-intensive. However, Monte Carlo simulations offer a time-efficient alternative for determining the optimal values of numerical game parameters. This paper illustrates this approach through the example of the YETI cooperative board game, which has the direct comparison test of infinite series at its didactic focus. First, the three levels of game design are briefly introduced as defined by the MDA framework. Drawing from this model, the tuning process of the game is presented, involving a systematic, cluster-based approach to marking the infinite sums featured in the YETI card decks, several strategies to mitigate the impact of the Alpha Player Problem in the game, and the configuration of key game parameters via simulations.