Integrating Generative AI in Linguistics Pedagogy: Implications for Language Analysis, Assessment, and Ethical Literacy
DOI:
https://doi.org/10.63084/cognexus.v1i04.212Keywords:
Generative AI, Linguistics Edagogy, Language Assessment, Ethical Literacy, Digital CompetenciesAbstract
The rapid emergence of generative artificial intelligence (GenAI) technologies, particularly large language models such as ChatGPT, has catalyzed transformative shifts in linguistics pedagogy. This paper examines the integration of GenAI in language education, focusing on three critical dimensions: language analysis, assessment practices, and ethical literacy development. Through a comprehensive synthesis of recent empirical and theoretical literature, this study explores how GenAI tools enhance linguistic evaluation, automate assessment processes, and necessitate new frameworks for ethical engagement. The analysis reveals that while GenAI offers substantial affordances, including personalized feedback, real-time error correction, and enhanced learner autonomy, it simultaneously presents challenges related to academic integrity, algorithmic bias, over-reliance, and equity of access. Drawing on sociocultural learning theories and distributed agency frameworks, this paper proposes an integrated pedagogical model that balances technological innovation with humanistic educational values. The findings underscore the imperative for continuous professional development, robust ethical guidelines, and collaborative stakeholder engagement to ensure responsible and effective GenAI integration in linguistics pedagogy. This work contributes to the evolving discourse on AI-enhanced language education by providing a critical, evidence-based foundation for future research and practice.
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Copyright (c) 2025 Isaiah Oluwsegun Owolabi, Shalom Oladele , Abimbola Muyiwa Fagbemi , Oyovwiri Lennie Erhuen
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