TRANSFORMATION OF THE EDUCATIONAL PROCESS THROUGH THE PRISM OF ARTIFICIAL INTELLIGENCE AND NEURAL NETWORK PROGRESS

Abstract

The relevance of the investigated problem of using artificial intelligence (AI) in education is due to the rapid development of technology and its implementation in educational processes. However, despite many positive examples, there are a number of unresolved issues concerning ethical aspects, inclusiveness and effectiveness of AI application in the educational environment. The aim of the article is to conduct a comprehensive analysis of the existing literature on the application of AI in education, identify key trends, challenges and prospects, and formulate recommendations for further research and practical application of AI technologies in the educational process. A systematic literature review covering the period from 2015 to 2023 was used as the leading approach to investigate the problem. As a result, a bibliometric analysis of publications was conducted, which allowed identifying the main research directions and revealing the growing interest of the academic community in this topic. The main results of the article show that AI has the potential to transform the educational process, including personalised learning, automated assessment and adaptive learning systems. However, important questions are also raised regarding the ethical aspects and challenges of implementing AI in educational institutions. Potential benefits and risks are discussed, as well as the need to develop strategies for the effective use of AI in education.