Knowledge Representation Schema of Educational Gameplay

The document introduces Ed-WPG, an extension of the authors' WPG gameplay schema designed to help young designers analyse educational games before full-scale evaluation. Its central argument is that existing evaluation approaches, including usability testing, pre- and post-testing, heuristic evaluation, and stealth assessment, are either resource-intensive or insufficient for capturing learning outcomes, while prior frameworks such as LM-GM and CGDA either overlook gameplay dynamics or merely enumerate elements for analysis. Ed-WPG responds to this gap by mapping Function-Behavior-Structure (FBS) variables onto gameplay states, offering a lightweight analytical tool rather than a validated measurement instrument.

The schema is organised around three linked states: the winning state, which captures goals and end conditions; the expected plan of action, which encodes challenge variables such as strategy, chance, skill, and knowledge alongside Bloom's cognitive levels and time control; and the game state, which covers the game world, interaction, and rewards. Seven processes connect these states, and together they describe how a derived plan and outcome emerge during play. The authors illustrate the framework using Scrabble, concluding that its effectiveness lies in the fact that learning occurs across all three states and that its mechanics blend game and learning elements.

The document's scope is conceptual and focused on the design and analysis of educational games in general rather than any particular platform, region, or population. Its analytical base is a single worked example, and it presents no empirical data, validation results, or comparative testing with designers or learners. Its claims about effectiveness therefore rest on illustrative reasoning rather than measured outcomes.

The reference base draws on established work in educational game design, including the LM-GM framework, Mitgutsch and Alvarado's Purposeful by Design assessment model, Shute's stealth assessment research, and the authors' own prior studies on knowledge representation and ontology-based game analysis. These sources situate Ed-WPG as a continuation of an ongoing research programme that seeks to make the analysis of learning within gameplay more structured and accessible.