В статье рассматривается опыт интеграции генеративных нейросетей в учебный процесс подготовки студентов-филологов 1 курса. Описывается методика обучения будущих педагогов созданию цифровых образовательных ресурсов (ЦОР) с использованием текстовых и графических ИИ-моделей. Особое внимание уделено разработке персонализированных персонажей-помощников для сопровождения учебных курсов.
This article explores the experience of integrating generative neural networks into the educational process for first-year philology students. It describes the methodology for training future educators in the creation of digital educational resources using text and graphic AI models. During the study, students developed skills in prompt engineering to generate textual content, images, and video materials. Special attention is given to the development of personalized assistant characters to accompany educational courses. The results demonstrate a positive trend in the formation of students’ digital competencies: learners were able to create interactive presentations, tests, quizzes, and short educational courses. The conclusion emphasizes the need to include modules on working with neural networks in the professional training program for philologists.
