This thesis explores the transformative role of Artificial Intelligence (AI) technologies in teaching English as aForeign Language (EFL) within the higher education sector. The rapid development of Large Language Models (LLMs),Natural Language Processing (NLP), and personalized learning algorithms has contributed to the evolution of EFLpedagogy from standardized approaches toward more flexible, student-centered methodologies.The study examines how AI-driven tools—such as automated writing evaluation (AWE) systems, intelligent tutoringsystems (ITS), and virtual conversational agents—support the development of linguistic competence, learner autonomy,and student engagement in university settings. These technologies provide valuable opportunities for personalizedinstruction, adaptive learning pathways, and timely feedback, thereby enhancing the overall effectiveness of theeducational process.At the same time, the integration of AI into education requires careful and responsible implementation. Importantconsiderations include ensuring fairness in algorithmic processes, protecting data privacy, maintaining academicintegrity, and redefining pedagogical roles in a constructive manner. This research emphasizes that AI should function asa supportive and complementary tool that enhances, rather than replaces, the role of the teacher.The study advocates for a balanced “human-in-the-loop” approach, highlighting the importance of developing digitalliteracy among both students and educators, as well as establishing a strong ethical framework for the effective andresponsible use of AI technologies in higher education.
| Mualliflar | Nurzhanova , Zhainash, Rajapova , Guldona |
|---|---|
| Jurnal | Муҳандислик ва Иқтисодиёт |
| Nashr sanasi | 2025-10-15 |
| Jild | 3 |
| Til | Ingliz |
Artificial Intelligence (AI), English as a Foreign Language (EFL), Higher Education, Personalized Learning, Natural Language Processing (NLP), Learner Autonomy, Computer-Assisted Language Learning (CALL), Educational Technology.
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