TEACHING FOREIGN LANGUAGE WRITING IN A BLENDED LEARNING FORMAT IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE TECHNOLOGY DEVELOPMENT

Abstract

The article deals with a problem of teaching writing skills to non-linguistic students studying English as a foreign language (EFL) in the context of the development and dissemination of widely available AI-based text generation tools. The objective of the study is to identify forms of organising the process and evaluating the results of teaching writing that will stimulate students to independently perform writing tasks, avoiding misuse of AI tools, and therefore contribute to the formation of their EFL writing skills. The study is conducted at Surgut State University; the results of content analysis of students’ written works performed with the neural network tool Quillbot AI Detector are used to develop recommendations on the choice of content, wording of written tasks, and methods of preparing students for their independent performance. The results of the study have practical significance, as they can be used in designing educational programmes and developing teaching materials that will help students form their foreign language communicative competence more effectively.