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PROSPECTS FOR THE USE OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE CLASSES

 
13.01.2026 10:12
Автор: Iryna Anatoliivna Yaremenko, Cand. Philos., Associate Professor, Dnipro University of Technology, Dnipro, Ukraine
[9. Філологічні науки;]


Digital technologies are nowadays used in all spheres of life, including education, where they help both students and teachers achieve the best results in the learning process. One of the most rapidly developing areas in the field of computer technologies is artificial intelligence. The use of artificial intelligence methods in education makes it possible to improve the learning process, including the teaching of foreign languages. To assess the prospects for using these methods in pedagogical practice, it is necessary to study their implementation in the educational process, identify new pedagogical and information-technology solutions, analyze their impact on the effectiveness of developing competencies stipulated by higher education standards, determine their advantages and disadvantages, and attempt to minimize the latter.

AI tools have become increasingly popular in recent years as a means of helping students improve the process of learning foreign languages. Artificial intelligence–based platforms offer a range of functions designed to enhance language skills. One of the main advantages of these tools is that they provide students with the opportunity to practice speaking and listening with native speakers or virtual interlocutors, which helps improve pronunciation, intonation, and fluency in a supportive, low-stress environment. Feedback is generated in real time, allowing students to quickly and effectively correct their mistakes and further develop their language skills [1, p. 46].

The learning process supported by artificial intelligence is more engaging and productive for students, as it is carried out in an interactive format. Algorithms that take into account many factors (such as the learner’s initial level of knowledge, previous experience, quality of information perception, ability to assimilate material, and others) make it possible to adapt learning content to a specific individual. Based on these factors, different learning formats can also be selected, either standard and familiar to the student or more creative and interactive. While learning a foreign language, artificial intelligence can perform comprehensive analytics of numerous processes, e.g. selecting a teacher, choosing specific tasks, checking assignments, and organizing repeated practice of those tasks with which the student did not cope. 

This increases the intensity of the learning process, provides instant feedback, encourages active cognitive engagement, stimulates intellectual abilities, and involves passive students in learning. The use of artificial intelligence makes it possible to develop abstract and logical thinking, promote individualized learning, and enhance the intensity of education through independent work with digital resources. All these aspects raise students’ motivation to learn and engage them in active participation in the process of acquiring a foreign language [2, p. 135].

The use of artificial intelligence technology to simulate a live teacher for correcting students’ pronunciation during reading instruction is an important element of foreign language learning. Nowadays, artificial intelligence acts as a listening and speaking coach, patiently guiding and assisting each student. Evaluating pronunciation may not seem difficult for a human, yet artificial intelligence still handles this task more effectively. 

Working with AI is also very useful for teacher training, as it allows tracking why the program changes the learning plan, which factors it takes into account, and what progress the student achieves as a result. For example, it can be used to select participants for group work. If a teacher might be influenced by emotions and, as a result, overlook, underestimate, or overestimate the knowledge and abilities of participants, AI performs this task impartially, based on the participants’ knowledge levels, abilities, and interests.

Moreover, artificial intelligence technologies contribute to an autonomous and personalized learning process for students. AI possesses a vast amount of knowledge and can respond to questions quickly. This helps learners study more efficiently by using AI to obtain rapid answers and guidance. Students learn in different ways and at different speeds, regardless of gender or age. Using algorithms, AI technologies can assess students’ learning, offering appropriate tasks and goals. Artificial intelligence can adapt foreign language instruction to the individual needs of each student, providing educational content that takes into account their skills, interests, and knowledge gaps. This makes learning more effective by delivering personalized information tailored to each student’s abilities.

Thus, the use of information and communication technologies in foreign language learning allows for a significant improvement in educational outcomes, uncovering the potential of both the learning process and the student, expanding the didactic possibilities of lessons, and considerably easing the teacher’s workload.

However, despite the wide-ranging capabilities of intelligent technologies, no software can replace the influence of a teacher’s personality on the development of a student’s knowledge, skills, and abilities during the learning process. Nevertheless, the use of artificial intelligence methods and the corresponding software tools makes the educational process significantly more effective.

References:

1. Zhukevich, I., & Spiricheva, O. Transformation of language learning: Artificial intelligence as a tool for developing students’ language skills. International Science Journal of Education & Linguistics. Vol. 3, No. 3, 2024, pp. 45-55. doi: 10.46299/j.isjel.20240303.06.

2. Bondar, A. V., Samar, O. M., & Furmanchuk, N. M. (2024). FEATURES OF USING ARTIFICIAL INTELLIGENCE AS AN EFFECTIVE TOOL FOR TEACHING FOREIGN LANGUAGES. Scientific Notes. Series: Pedagogical Sciences, (214), 133-137. https://doi.org/10.36550/2415-7988-2024-1-214-133-137.



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