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@article{191229,
        author = {Mr. Meet Jayantibhai Pandya},
        title = {Using Large Language Models for Language Learning: Opportunities, Risks, and Pedagogical Implications},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {1202-1207},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191229},
        abstract = {The emergence of Large Language Models (LLMs) such as OpenAI’s GPT series, Google’s Gemini, and Anthropic’s Claude has introduced a transformative shift in the field of language education. These models demonstrate the ability to generate human-like text, support interactive communication, simulate authentic conversation, and provide instantaneous feedback. For language learners who traditionally rely on human instructors and limited classroom exposure, LLMs present significant opportunities: personalized learning pathways, low-anxiety practice environments, expanded access to linguistic resources, and inclusive learning support. Yet their integration introduces pedagogical, ethical, and cognitive challenges, including inaccuracies, overreliance, bias, privacy concerns, and the risk of diminishing critical thinking. This paper examines these opportunities and risks through a pedagogical lens and explores the implications for teachers and institutions. Drawing on established research in applied linguistics, CALL (Computer-Assisted Language Learning), SLA (Second Language Acquisition), and AI ethics, the paper proposes a balanced framework for responsible LLM integration.},
        keywords = {Large Language Models, Language Learning, Artificial Intelligence, CALL, Pedagogy, Digital Literacy},
        month = {},
        }