Managing the Strategic Transformation of Higher Education through Artificial Intelligence

Author:

George Babu1ORCID,Wooden Ontario2ORCID

Affiliation:

1. School of Business, Alcorn State University, Lorman, MS 39096, USA

2. 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).

Publisher

MDPI AG

Subject

General Business, Management and Accounting

Reference104 articles.

1. Ethical principles for artificial intelligence in K-12 education;Adams;Computers and Education: Artificial Intelligence,2023

2. Taking Virtual Reality and Augmented Reality to The Next Level: Artificial Intelligence with Mixed Reality;Ahmet;Kamu Yönetimi ve Teknoloji Dergisi,2022

3. Akour, Iman A., Al-Maroof, Rana Saeed, Alfaisal, Raghad, and Salloum, Said A. (2022). A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach. Computers and Education: Artificial Intelligence 3: 100052.

4. Structuring Knowledge Bases with AI and Machine Learning;Arogundade;Information and Knowledge Management,2023

5. Bakhshi, Hasan, Frey, Carl Benedikt, and Osbourne, Michael (2016). Creativity vs. Robots: The Creative Economy and the Future of Employment, Nesta.

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3