Opportunities and risks of using neural networks in education

Abstract

The innovative development of modern education continues to move towards the adoption of information technologies. However, there is no significant increase in the quality of education due to their implementation; the process is much slower than expected. We face a problem of integration of educational information technologies and pedagogical technologies. It has become especially relevant in connection with the rapidly developing practice of using neural networks and the scientific and methodological substantiation of their effectiveness at different levels and stages of learning. In this regard, the purpose of the present study is to identify the potential opportunities and risks of using neural networks in education.The practical part of the work consists of an analysis and synthesis of both foreign and domestic statistical studies regarding existing trends in the implementation of AI in the field of education. The article presents the results of a survey, conducted among university students, to identify the advantages and limitations of using generative artificial intelligence in learning. Based on the SWOT analysis, the article provides generalized conclusions regarding the strengths and weaknesses, risks and threats of using neural networks in education.The data obtained can be used to organize further research and more effective use of the neural network technology in educational practices for both teachers and students.