REVOLUTIONIZING FOREIGN LANGUAGE TEACHING THROUGH ARTIFICIAL INTELLIGENCE
Keywords:
Artificial Intelligence (AI), foreign language pedagogy, language acquisition, natural language immersion, Adaptive Learning Real-time Feedback, Pronunciation Training, Curriculum Design, Teaching MethodologiesAbstract
This article examines the paradigm shift from traditional Computer-Assisted Language Learning (CALL) to the dynamic, AI-driven landscape of modern foreign language education. Moving beyond static tools, the piece explores how foundational technologies—Natural Language Processing, Machine Learning, and Large Language Models—enable unprecedented personalization in learning. It analyzes key applications such as adaptive learning paths, automated writing evaluation, and enhanced pronunciation practice, which simulate the conditions of natural language immersion. While acknowledging the transformative power of AI to act as a patient, adaptive tutor, the article ultimately argues that this technological revolution must be guided by strong pedagogy and ethics, ensuring that the algorithm enhances rather than replaces the essential human connection at the heart of communication.
References
1.Benjamin Luke Moorhouse, Kevin M. Wong “Generative Artificial Intelligence and Language Teaching” 2025.
2.Joshua M. Paiz “Collaborative AI: Ethical Integration and Human-Centered Pedagogy in Language Education” 2026.
3. Antonie Alm, Gilbert Dizon, Yijen Wang Insights into AI and Language Teaching and Learning 2025.
