Neural network technologies in higher education: practices of use by students across different disciplines

The purpose of the study is to examine the practice of using neural network technologies by students of humanities and technical specialties in the educational process. Research methods and organization. Methods of survey and comparative data analysis were used. The survey was conducted among students of higher education institutions in Irkutsk, receiving humanitarian and technical education. Research results and conclusions. It has been found that neural networks have become a widespread tool in educational activities, with the main usage patterns being information retrieval and text generation. It has been determined that students in technical fields demonstrate a higher readiness to use neural networks, whereas students in the humanities express greater concerns related to the dehumanization of education and technical difficulties. It has been established that a common barrier is the insufficient level of digital competence and self-organization skills. The study's conclusions underscore the need to develop specialized digital competence, ensuring proficiency in critical and responsible approaches to the use of artificial intelligence in educational and professional activities.