DIGITAL TRANSFORMATION OF PROFESSIONAL EDUCATION: CHALLENGES OF IMPLEMENTING NEURAL NETWORKS IN STUDENT PRACTICES

On the threshold of a new educational era, when artificial intelligence (the result of a neural network, to be more precise) has significantly entered our lives, a socio-cultural experiment was conducted in the field of higher education, the purpose of which was to identify hidden mechanisms of students’ adaptation to digital transformation. The research touches on deep aspects of academic ethics, cognitive behavior, and technological identity, revealing non-obvious patterns of using generative AI tools in professional training. By exposing the contradictions between formal norms and real practices, the work captures the moment of the formation of a new educational paradigm. The results obtained do not so much answer questions as generate new ones about the future of knowledge, responsibility and trust in the age of digital agents.