Chapter VIIІ. The role of artificial intelligence in personalizing foreign language learning for computer specialties students

The integration of artificial intelligence (AI) into foreign language learning has gained significant attention for its potential to personalize educational experiences and enhance learner engagement. AI-driven personalization adapts content, pacing, and feedback to meet individual learner needs, optimizing language acquisition through real-time data analysis. The paper explores the application of AI in foreign language acquisition, focusing on adaptive learning systems, automated proficiency assessments, and customized learning pathways. The study investigates how AI technologies, such as intelligent tutoring systems and natural language processing, reshape traditional approaches by providing targeted support based on learner profiles. The findings emphasize the role of AI in fostering learner autonomy and motivation while reducing the educator’s workload through automation. However, the research also addresses the challenges associated with AI, including data privacy concerns, algorithmic biases, and the need for human oversight in AI-driven learning environments. By examining current research and practical implementations, this paper contributes to the ongoing discussion of AI’s impact on the future of foreign language education.