The Impact of Generative AI on Language Learning: Transforming Pedagogical Approaches and Learner Experiences in the Digital Age

Abstract

This study examines the transformative impact of generative artificial intelligence (GenAI) technologies on language learning processes, pedagogical methodologies, and educational outcomes. Through a comprehensive analysis of contemporary literature and empirical data collection involving 450 language learners across multiple educational institutions, this research investigates how GenAI tools such as ChatGPT, GPT-4, and specialized language learning applications are reshaping traditional language acquisition paradigms. The study employs a mixed-methods approach, combining quantitative assessments of learning outcomes with qualitative interviews exploring learner experiences and perceptions. Results indicate that GenAI integration significantly enhances vocabulary acquisition (p < 0.001), improves conversational fluency scores by an average of 23.7%, and increases learner engagement metrics by 34.2% compared to traditional learning methods. However, the findings also reveal concerns regarding over-dependence on AI assistance, potential degradation of critical thinking skills, and challenges in developing authentic communicative competence. The research concludes that while GenAI presents unprecedented opportunities for personalized, accessible, and interactive language learning experiences, successful implementation requires careful consideration of pedagogical frameworks, ethical guidelines, and balanced integration with human instruction to maximize benefits while mitigating potential drawbacks.