CONCEPTUAL DESIGN OF AN INTELLIGENT ENGLISH LANGUAGE LEARNING SYSTEM IN HIGHER EDUCATION

Author(s): Mikhalev A.S., Abdullaev N., Soboleva E.V.

Rubric: System analysis, information management and processing

DOI: 10.21777/2500-2112-2026-3-118-130

Release: 2026-3 (56)

Pages: 118-130

Keywords: educational technologies, intelligent learning system, English, large language models, AI teaching assistant, automated verification of written papers, personalized feedback, educational discussion

Annotation: The article examines the conceptual design of an intelligent English language learning system based on the use of large language models and focused on the support of an English teacher at a university. The relevance of the research is due to the growing role of the English language in academic and professional communication, as well as the active development of digital educational technologies. The proposed system is considered as an AI teaching assistant capable of supporting automated verification of written works, identification and comment- ing on language errors, the formation of personalized feedback, as well as the preparation and moderation of educational discussions. The article provides an overview of modern research in the field of education technol- ogy. On this basis, a conceptual model of an intelligent system is proposed, including diagnostic, evaluative, dialogical and analytical modules. Special attention is paid to the description of a computational experiment aimed at experimentally verifying the effectiveness of an AI assistant in solving the tasks of an English teacher at a university. It is shown that the practical value of such systems is determined not only by the quality of text generation, but also by the pedagogical correctness of feedback, the degree of controllability of the model and its integrability into the real educational process.

Bibliography: Mikhalev A.S., Abdullaev N., Soboleva E.V. CONCEPTUAL DESIGN OF AN INTELLIGENT ENGLISH LANGUAGE LEARNING SYSTEM IN HIGHER EDUCATION // Education Resources and Technologies. – 2026. – № 3 (56). – С. 118-130. doi: 10.21777/2500-2112-2026-3-118-130