Artificial intelligence in higher education: problems, opportunities, risks

Abstract

Problem statement. The unprecedented pace of development and application of artificial intelligence in higher education attracts the academic staff of scientists to analyze and discuss the problem of opportunities, risks and boundaries of the use of artificial intelligence (AI) in the organization of higher education. The purpose of the study is to analyze the integration of AI into the educational processes of higher education as a strategy for using digital technologies, indicated by accelerating the achievement of educational transformation goals in the activity sphere, where opportunities are found for teaching, learning, and scientific activities of the teacher and students. Methodology . Analytical and theoretical research methods (literature analysis, data synthesis, generalization, induction, deduction, establishment of cause-and-effect relationships) were applied to assess the current state of the educational sphere regarding the widespread introduction of AI capabilities, and an express survey was conducted in the number of 105 people: students of additional education programs “Teacher” and “Teacher of a higher educational institution” on the topic of psychological adaptation to the active use of AI technologies in the framework of pedagogical practice. Results. There are opportunities to optimize the learning process using AI, such as assessing the level of knowledge of students according to predetermined criteria, organizing and conducting tests and exams, ability to get rid of routine work, translating and voicing any text. Conclusion. It is summarized that the most promising direction for application of AI technologies in higher education is an additional education, which is organized primarily for acquisition of specific knowledge and skills by reducing the time spent searching for literature, scientific reviews, setting specific tasks and problems, organizing communication, etc.

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