The Advantages and Disadvantages of AI in Higher Education
Open accessAbstract
The integration of Artificial Intelligence (AI) into higher education offers a range of potential benefits and challenges. This paper explores the advantages and disadvantages of AI in higher education, drawing on recent journal articles to provide a comprehensive overview. The discussion covers improvements in learning outcomes, administrative efficiencies, and personalized learning, while also addressing issues such as equity, privacy concerns, and the potential impact on the role of educators.
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Professors now use AI to generate quizzes, grade written assignments, provide feedback, and tailor content for students with learning differences.
“Professors now use AI to generate quizzes, grade written assignments, provide feedback, and tailor content for students with learning differences [51].”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [51]
The international study conducted by Crain et al. reveals that the use of AI correlates positively with heightened student worry around potential replacement and academic devaluation, especially within the humanities disciplines.
“The international study conducted by Crain et al. [51] reveals that the use of AI correlates positively with heightened student worry around potential replacement and academic devaluation, especially within the humanities disciplines.”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [51]
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Cites
Artificial Intelligence in Education: A Review
Chen, L., Chen, P., & Lin, Z. (2020) · IEEE Access · doi:10.1109/access.2020.2988510 · Cited by 4,133 · see citing works
Artificial intelligence in higher education: the state of the field
Crompton, H., & Burke, D. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00392-8 · Cited by 2,010 · see citing works
Duan, H., & Wei, Z. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i3.7659 · Cited by 56 · see citing works
The application of artificial intelligence and Big Data analytics in personalized learning
Magomadov, V. S. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1691/1/012169 · Cited by 30 · see citing works
Pusey‐Reid, E., & Ciesielski, S. (2024) · Journal of Nursing Education · doi:10.3928/01484834-20240415-01 · Cited by 5 · see citing works
Artificial Intelligence, the Workforce and Educational Realities
Hurlburt, G. F. (2024) · Computer · doi:10.1109/mc.2024.3428034 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 10
- Al-Azawei, A., Serenelli, F., & Lundqvist, K. (2019). The Role of AI in Enhancing Accessibility in Higher Education. Educational Technology Research and Development, 67(2), 221-234.
- Beaudoin, M. F. (2022). The Changing Role of Educators in the Age of AI. Journal of Higher Education Policy and Management, 44(3), 229-245.
- Knewton. (2019). Personalized Learning: A Meta-Analysis of AI in Education. Journal of Educational Technology, 45(3), 350-362.
- Larson, B. Z., Moser, C., Caza, A., Muehlfeld, K., & Colombo, L. A. (2024). From the Editors: Critical Thinking in the Age of Generative Ai. Academy of Management Learning & Education, 23(3), 373-378. https://doi- org.campbellsville.idm.oclc.org/10.5465/amle.2024.0338 · DOI · Paper page
- Liu, X., Yang, X., & Zhang, Y. (2021). Machine Learning in Higher Education Admissions: A Review of AI Applications. Journal of Higher Education Management, 36(2), 220-235.
- Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856.
- Noniashvili, M. & Matchavariani, L. (2024). Opportunities and challenges for using artificial intelligence in academic continuity: case of Georgia. Journal of Eastern European and Central Asian Research. 11(4). 813-827. Doi: 10/15549/jeecar.v11i4.1817
- Raji, I. D., Buolamwini, J., & Raji, I. D. (2021). AI and Data Privacy in Higher Education: Challenges and Solutions. Journal of Privacy and Confidentiality, 11(1), 99-114.
- Singh, S. V., & Hiran, K. K. (2022). The impact of AI on teaching and learning in higher education technology. Journal of Higher Education Theory and Practice, 22(13).
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Cited by
Sorted by citations
Adamakis, M., & Rachiotis, T. (2025) · Encyclopedia · doi:10.3390/encyclopedia5040180 · Cited by 76 · see citing works
- Authors
- Campbellsville University, C. K., Crain, C., Ewing, A., Campbellsville University, C. K., Billy, I., Campbellsville University, C. K., Anush, H., & Campbellsville University, C. K.
- Affiliations
- Campbellsville University (US)
- Venue
- The Business and Management Review
- Published
- 2025-01-13
- Volume
- 15
- Issue
- 03
- ISSN
- 2047-2854 (ISSN-L)
- 2047-2862
- OpenAlex
- W4406382194
- Cited by
- 7
- References
- 6
- Citations by year
- 2026: 3 · 2025: 4
- FWCI
- 7.34
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- The Business & Management Review (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Keywords
- artificial intelligence in higher education, learning outcomes, administrative efficiency, personalized learning, educational equity, student privacy, role of educators, benefits and challenges of AI
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