Особенности учебного процесса подготовки IT-специалистов в условиях возрастания возможностей генеративного искусственного интеллекта

Инженерное образование. 2023. № 34. С. 123–135.

Vishnekov A., Erokhina E., Ivanova E., Trubochkina N. K.

The article deals with the organization of educational process at Universities in the context of the everincreasing introduction of artificial intelligence systems. The paper describes the current state of the issue, including the lack of a regulatory framework governing the use of intelligence systems and the tasks that need to be addressed in order to ensure the required quality of engineering education in the new conditions. The authors give the examples of incorrect use by students of the results obtained with the help of intelligence systems in order to reduce efforts to master the educational program. A review and analysis of existing intelligence systems and their capabilities in the context of tasks solved by teachers and students in the course of educational process was carried out: generating program code, creating reports and various text documents, translating texts, writing annotations for video courses, solving mathematical problems, conducting various experiments and searching for patterns in data arrays and other tasks. The authors propose specific ways of modernizing the educational process. These ways include the correction of methodology for evaluating various types of work, increasing the number of complex creative tasks performed by students, increasing the number of term papers and theses related to the subject of intelligence systems. The paper introduces the examples of implementing the proposed methods into real practice in preparing students for the direction Informatics and Computer Engineering at HSE Tikhonov Moscow Institute of Electronics and Mathematics. Competitive advantages of a teacher in comparison with intelligence systems are shown. Examples of term papers carried out by students on the subject of intelligence systems are given. The dynamics of increase in the share of final qualifying works of bachelors related to development and implementation of artificial intelligence systems is shown.

Keywords: инженерное образование, учебный процесс, teaching methods, образовательная траектория, engineering education, методики преподавания, educational process, educational trajectory, artificial intelligence systems, системы искусственного интеллекта