How Players Develop Computational Thinking While Modeling Character Behaviors in Gameplay

In this work we explore the potential of using a Petri Nets inspired graphic interface supporting a character action modeling mechanic to develop computational thinking skills in a game-based learning environment. We conceived a proof-of-concept paper prototype as a probe to perform gameplay rehearsals and distill insights on how young players would appropriate it. A qualitative research approach was used to study gameplay sessions and semi-structured interviews, coding player actions and dialogue. We were able to gain insights on how the design of the game components and its mechanics mimicking Petri Nets provided an accessible way for players to perform the game activities by modeling behaviors of game characters. The integration of an interface design for action modeling inspired by Petri Nets and the use of symbols for encoding conditions, actions and outcomes, allowed players to model complex sequences of behavior, recognize patterns, decompose in-game activities, and work with abstractions such as conditions, consequences and steps. This enabled players’ articulation of cause-and-effect relationships, leading to the consolidation of computational thinking skills. This work provides insights for exploring similar design patterns in gameplay to enhance Computational Thinking.