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Managing the Strategic Transformation of Higher Education through Artificial Intelligence

Author

Listed:
  • Babu George

    (School of Business, Alcorn State University, Lorman, MS 39096, USA)

  • Ontario Wooden

    (University College Division of Academic and Student Affairs, North Carolina State University, Raleigh, NC 27695, USA)

Abstract

Considering the rapid advancements in artificial intelligence (AI) and their potential implications for the higher education sector, this article seeks to critically evaluate the strategic adoption of AI in the framework of “smart universities”. We envisage these innovative institutions as the imminent evolution in higher education, harnessing AI and quantum technologies to reshape academic and administrative processes. The core presumption is that through such integration, universities can achieve personalized learning trajectories, enhanced accessibility, economic efficiency, and a boost in overall operational performance. However, venturing into this new educational paradigm necessitates a thorough exploration of potential pitfalls, including questions surrounding educational quality, potential job losses, risks of bias, privacy breaches, and safety concerns. Our primary objective is to offer a balanced assessment to aid stakeholders in making informed strategic decisions about endorsing and advancing the smart university model. A pivotal factor in this discourse is the acceptance of qualifications from AI-enriched institutions by employers, a variable that may drastically redefine the education sector’s trajectory. Within the context of a comprehensive analysis of its broader societal impact, this article also delves into the ramifications of AI-driven innovations for historically Black colleges and universities (HBCUs).

Suggested Citation

  • Babu George & Ontario Wooden, 2023. "Managing the Strategic Transformation of Higher Education through Artificial Intelligence," Administrative Sciences, MDPI, vol. 13(9), pages 1-20, August.
    • Handle: RePEc:gam:jadmsc:v:13:y:2023:i:9:p:196-:d:1228368
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    Citations

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    Cited by:

    1. José Carlos Vázquez-Parra & Carolina Henao-Rodríguez & Jenny Paola Lis-Gutiérrez & Sergio Palomino-Gámez, 2024. "Importance of University Students’ Perception of Adoption and Training in Artificial Intelligence Tools," Societies, MDPI, vol. 14(8), pages 1-18, August.
    2. Cai Li & Sheikh Farhan Ashraf & Saba Amin & Muhammad Nabeel Safdar, 2023. "Consequence of Resistance to Change on AI Readiness: Mediating–Moderating Role of Task-oriented Leadership and High-Performance Work System in the Hospitality Sector," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Christine Malin & Cordula Kupfer & Jürgen Fleiß & Bettina Kubicek & Stefan Thalmann, 2023. "In the AI of the Beholder—A Qualitative Study of HR Professionals’ Beliefs about AI-Based Chatbots and Decision Support in Candidate Pre-Selection," Administrative Sciences, MDPI, vol. 13(11), pages 1-19, October.

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