Integrating AI into educational game design: An AI-enhanced MDA framework

Abstract

This study proposes an artificial intelligence (AI)-enhanced framework that integrates AI with the Mechanics, Dynamics, and Aesthetics framework through theory synthesis and framework development. It explores how generative AI, adaptive learning algorithms, and procedural content generation enhance gameplay to advance educational game design. The framework aligns AI capabilities with constructivist learning principles, supporting personalized, engaging, and scalable game-based learning. While the framework offers theoretical and practical guidance for AI-integrated educational games, further research is needed to assess its empirical effectiveness across diverse learning settings.