THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PERSONALIZED LANGUAGE LEARNING: OPPORTUNITIES AND ETHICAL CHALLENGES
Abstract
The integration of Artificial Intelligence (AI) into education has precipitated a paradigm shift in how languages are taught and learned. This paper examines the transformative role of AI-driven tools in English Language Teaching (ELT), focusing on personalized learning pathways, automated feedback mechanisms, and adaptive assessment systems. While traditional classroom settings often struggle to address the diverse needs of individual learners, AI technologies offer scalable solutions for customization and immediate remediation. However, the rapid adoption of these technologies raises significant ethical concerns regarding data privacy, algorithmic bias, and the potential erosion of human interaction. Through a critical review of recent literature and case studies, this article argues that while AI holds immense promise for enhancing language acquisition efficiency, its implementation must be guided by robust ethical frameworks and pedagogical oversight. The study concludes with recommendations for balancing technological innovation with human-centric teaching practices to ensure equitable and effective language education.
References
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