A METHODOLOGICAL FRAMEWORK FOR INTEGRATING AI TOOLS IN GAME-BASED EFL INSTRUCTION

This study develops a theoretically grounded framework for integrating artificial intelligence (AI) tools into gamified English as a Foreign Language (EFL) instruction. While AI technologies and gamification are widely adopted, their integration often lacks alignment with core second language acquisition (SLA) mechanisms. This study addresses this gap by proposing a mechanism-based model that links AI functionalities—such as adaptive feedback, conversational agents, and speech recognition—with gamified learning structures to support vocabulary acquisition and speaking development. The framework conceptualizes learning as a recursive cycle involving input, noticing, cognitive processing, interaction, output, and feedback. The study contributes a structured pedagogical model that clarifies how technological affordances can support language learning processes and offers a context-sensitive perspective applicable to emerging EFL environments. The framework provides a foundation for future empirical validation and instructional design.