Designing Games for Early Acquisition of Procedural Knowledge

Procedural knowledge enables learners to perform tasks and solve problems. However, it remains difficult to teach particularly to young children, due to its tacit, abstract, and action-oriented nature. Games, recognized as a “learning by playing (doing)” medium, offer potential to teach such practical knowledge. This study proposes the Procedural Knowledge Teaching Game Design (PTGD) framework, which translates production-rule representations into developmentally appropriate game tasks. The framework emphasizes condition awareness, the combination of unit operations, and variation practice, and uses iterative evidence to refine game mechanics. Across mathematics, biology, and computer science, five classroom implementations involved 250 early elementary students aged 6-8. Phase 1 used single-group pre-post evaluations to identify outcome-specific strengths and weaknesses. Phase 2 used non-randomized intact groups to compare original and theory-informed revised games, with baseline-adjusted analyses. Results provide preliminary, domain-specific evidence that PTGD can guide designs associated with improvements in selected procedural-knowledge outcomes and self-efficacy. Phase 2 showed particularly large adjusted differences in implementation, representing far transfer, for the revised biology game and in several computer science outcomes for the meta-gaming version. System-log measures also provided complementary evidence about optimization behavior during play. Because samples were not randomized and each Phase 2 comparison involved intact classes, the findings do not establish general causal effectiveness or cross-domain generality. PTGD is therefore presented as a theory-informed, practically specified framework requiring replication in clustered and longitudinal studies.