An Integrative Approach to Creating Educational Content Using AI and the Case Method T

The article analyzes the opportunities and challenges associated with the use of artificial intelligence in developing case studies for disciplines within the field of study 38.03.02 "Management," in the context of the transformation of the Russian higher education system driven by the implementation of national development goals until 2030. The emphasis is on enhancing the practice-oriented nature of learning, integrating digital technologies, and developing student competencies demanded by the modern labor market. Based on a review of Russian and international scientific literature, as well as an empirical study conducted among management students at KNRTU and faculty members, key limitations of AI-generated cases were identified: their lack of realism, stereotypical nature, absence of student emotional engagement in solving them, weak connection to current economic and socio-cultural conditions, and insufficient depth of assignments. At the same time, the potential of AI as an auxiliary tool for the teacher is emphasized, provided there is expert refinement, methodological support, and adherence to ethical standards. The authors justify the need for a hybrid model of case development, in which AI performs auxiliary functions (idea generation, structuring), while the teacher retains the key role as a methodologist, expert, and bearer of professional experience. The article also points to an acute shortage of methodological recommendations and standards for integrating AI into the educational process, making this issue particularly relevant for modern management pedagogy.