Artificial intelligence in management education: opportunities and challenges
The key objective of the study is to reveal the potential for improving the quality of teaching activity in the field of management disciplines based on the application of artificial intelligence (AI) tools. As a methodological approach the authors consider a systemic analysis of transformation of the role and main functions, tasks of a teacher in conditions of rapid development and availability of generative artificial intelligence (AI) tools. The authors substantiate the rise and development of a new hybrid model ‘teacher + AI’ in the field of management disciplines. The paper considers prompt engineering as a tool to develop and design management courses, shows the possibilities of improving evaluation system using artificial intelligence, pays special attention to new tools to visualize learning material to increase students’ involvement, cites successful practices of integrating various AI tools in the learning process. The authors argue that AI not only provides new opportunities to improve teaching activities but also generates new problems of both pedagogical and organizational nature in the field of management disciplines. The findings aim at expanding the discourse on the opportunities and risks of using.
Authors
- Svetlana Shchelokova (ORCID: https://orcid.org/0000-0002-7233-1322)
- Olga Molchanova (ORCID: https://orcid.org/0000-0002-0765-4838)
- Irina Burak
Institutions
- Lomonosov Moscow State University (RU)
- Moscow State University (TJ)
Publication Details
- Journal
- Lomonosov Economics Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.55959/msu0130-0105-6-60-3-15
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00