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News
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
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May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.

 

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Mapping the Multidimensional Landscape of Resistance to AI Adoption in Educational Context

Ymer. 2025. Vol. 24. No. 4. P. 299–320.
Tunkevichus Olga

This study explores why educators resist adopting Artificial Intelligence (AI) in educational settings by mapping the literature’s key themes. Using a systematic review of 2,121 peer-reviewed sources and a mixed-method approach, a bibliometric co-citation analysis was conducted. The results reveal four interconnected dimensions of resistance: (1) user experience and behavioral intentions (e.g. how perceived usefulness and ease of use influence educators’ intent to adopt AI), (2) organizational transformation and readiness (e.g. institutional capacity, culture, and change management affecting AI implementation), (3) ethical and epistemic concerns (e.g. data privacy, bias, and debates over AI’s role in knowledge and teaching), and (4) emotional and psychological factors (e.g. trust, anxiety, and algorithm aversion among educators). Together, these clusters show that resistance to AI in education is not a singular issue, but a multifaceted phenomenon embedded in social context and human factors. The study offers a comprehensive synthesis of this landscape, contributing to organizational behavior theory by highlighting the social, cultural, and emotional dimensions of technology resistance. It also provides practical insights for designing inclusive AI adoption strategies in education, informing future research and policy to foster effective and ethically grounded AI integration.

Research target: Economics and Management
Language: English
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Keywords: resistance to changereadiness for change higher educationAI adoption
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