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The application of Artificial Intelligence (AI) in the higher education system creates many opportunities for improving the learning process, research activities, managing and supporting structures. The methods of analysis of the resources, surveys and questionnaires, observation, experimental studies and statistical analysis are used in the research. The proposed technology of application of AI in the higher education system focuses on its impact on the quality of education and organizational processes, it covers the aspects of personalized learning, automation of administrative processes, improving the learning and assessment process, development of distance learning and research. It consists of the six stages: analysis of needs and opportunities, implementation strategy planning, data collection and processing, implementation of algorithms, testing and evaluation of results, continuous improvement. There was conducted and statistically checked the experimental research of the implementation of AI into the higher education system. On the basis of the comparison values before and after the experiment it can be concluded that the application of artificial intelligence in higher education system is effective and had a significant impact on the various aspects of educational process.
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Batsurovska et al. (2024) studied this question.
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