THE USE OF GAME-BASED METHODS AND AI PLATFORMS IN ADDRESSING GRAMMATICAL INTERFERENCE IN ENGLISH LANGUAGE TEACHING
Keywords:
grammatical interference, game-based learning, artificial intelligence, English language teaching, second language acquisition, corrective feedback, learner autonomyAbstract
Grammatical interference, or the transfer of first language structures into second language usage, presents a persistent obstacle in the development of grammatical accuracy among English language learners. Traditional grammar instruction often lacks the capacity to address the deep-rooted cognitive and affective factors that contribute to this phenomenon. This study explores the effectiveness of integrating game-based learning (GBL) methods and artificial intelligence (AI)-enhanced platforms to reduce grammatical interference in English language teaching. Through a qualitative synthesis of empirical research, including experimental, systematic, and case-based evidence, this study identifies key pedagogical mechanisms that support the restructuring of L1-influenced grammatical habits. The findings highlight that interactive, feedback-driven learning environments—characterized by gamified challenges, personalized scaffolding, and real-time error correction—significantly improve grammatical accuracy, enhance learner motivation, and foster autonomous language development. Additionally, these tools promote a risk-tolerant atmosphere that encourages experimentation and metalinguistic reflection. While the results indicate a strong potential for GBL and AI tools to transform grammar instruction, the study emphasizes the need for thoughtful instructional design, teacher involvement, and further longitudinal research to validate and expand these outcomes across diverse learner populations.
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