Transforming Language Learning with AI: Adaptive Systems, Engagement, and Global Impact
Vo Thi Kim Anh · 2025
Artificial Intelligence (AI) is transforming language education through adaptive learning, automated assessments, and interactive tutoring. This study analyzes 80 peer-reviewed articles (2020–2024) to explore AI’s pedagogical and ethical dimensions. Findings show that AI-driven learning boosts engagement and proficiency via real-time feedback, yet challenges such as algorithmic bias, data privacy, and teacher adaptation remain. This paper proposes a responsible AI integration framework, emphasizing educator–technologist collaboration, professional development, and ethical governance. Addressing these concerns requires robust policies and continued research to maximize benefits while minimizing risks in AI-enhanced education.