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.

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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
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article

Artificial intelligence in management education: opportunities and challenges

Svetlana Shchelokova, Olga Molchanova, Irina Burak
Lomonosov Economics Journal
Big Data and Business Intelligence
article

Artificial intelligence in management education: opportunities and challenges

Svetlana Shchelokova, Olga Molchanova, Irina Burak
article en

Abstract

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.

Lomonosov Economics JournalVol. 60(№3, 2025)
Lomonosov Moscow State University (RU), Moscow State University (TJ)
Openalex Percentile: Top 69%
Big Data and Business Intelligence
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Artificial intelligence in management education: opportunities and challenges — Svetlana Shchelokova, Olga Molchanova, et al. · Lomonosov Economics Journal (2025) | TGRS Research Map | TGRS