jobig

Journal of Business Innovation and Governance

2717-9559

İzmir Katip Çelebi Üniversitesi

10.54472/jobig.1816619

Public Administration

Kamu Yönetimi

YAPAY ZEKA ÇAĞINDA YÜKSEKÖĞRETİM YÖNETİMİNİN GELECEĞİ: FIRSATLAR VE ZORLUKLAR

THE FUTURE OF HIGHER EDUCATION MANAGEMENT IN THE AGE OF ARTIFICIAL INTELLIGENCE: OPPORTUNITIES AND CHALLENGES

https://orcid.org/0000-0002-4157-1155

Balyer

Aydin

YILDIZ TECHNICAL UNIVERSITY, FACULTY OF EDUCATION

03 08 2026

9 1 11 03 2025 03 06 2026

2018

Journal of Business Innovation and Governance

ÖzetÇalışmanın temel amacı yapay zekanın (YZ) yönetimsel verimlilik, öğrenme ve öğretme uygulamaları, karar alma, öğrenci destek hizmetleri, stratejik planlama, yönetişim, üniversite-toplum ilişkileri, çeşitlilik ve kapsayıcılık olanakları açısından yükseköğretimin geleceğini nasıl şekillendireceğini belirlemektir. Bu nitel teorik inceleme araştırması ayrıca YZ'nin yükseköğretim kurumları için oluşturduğu fırsatları ve zorlukları incelemeyi amaçlamaktadır. Araştırma sonuçları, üniversitelerin yönetim uygulamalarının yapay zekâdan yoğun bir şekilde etkilendiğini ve gelecekte de yeniden şekilleneceğini ortaya koymaktadır. Ayrıca, yapay zekâ birçok fırsat sunsa da bazı zorluklar da beraberinde getirmektedir. Bir diğer sonuç, üniversite yöneticilerinin teknoloji okuryazarlığı, çeviklik, kapsayıcı liderlik ve etik yönetişim gibi yeni beceri setlerine sahip olması gerektiğini göstermektedir. Yükseköğretim yönetim taktiklerinde reaktif taktikten proaktif taktiklere doğru dramatik bir değişim yaşanmakta ve üniversite liderleri bu yüzden idari becerilerini güncellemelidir.Anahtar kelimeler: Liderlik, Etik Yönetişim, Yapay Zeka (AI), Yükseköğretim Yönetimi, Yönetsel Verimlilik

AbstractThe main purpose of the study was to determine how artificial intelligence (AI) will shape the future of higher education in terms of managerial efficiency, learning and teaching practices, decision-making, student support services, strategic planning, governance, university-community relationships, diversity and inclusion facilities. This qualitative theoretical review research also purposes to examine both opportunities and challenges AI poses for higher education institutions. Research results reveal that management practices of universities are intensively influenced by AI, and will be reshaped in the future as well. In addition, even though AI provides plenty of opportunities, it poses some challenges. A further result shows university administrator must posess new skill sets like technological literacy, agility, inclusive leadership, and ethical governance. As there is a dramatic change in higher education administration tactics from reactive to proactive, and therefore university leaders should update their administrative skills. Key words: Artificial Intelligence (AI), Higher Education Administration, Administrative Efficiency, Ethical Governance, Leadership

Artificial Intelligence (AI) Higher Education Administration Administrative Efficiency Ethical Governance Leadership

Liderlik Etik Yönetişim Yapay Zeka (AI) Yükseköğretim Yönetimi Yönetsel Verimlilik

Abayomi, O. K., Adenekan, F. N., Abayomi, A. O., Ajayi, T. A., & Aderonke, A. O. (2021). Awareness and perception of the artificial intelligence in the management of university libraries in Nigeria. Journal of Interlibrary Loan, Document Delivery and Electronic Reserve, 29(1/2), 13–28. doi:10.1080/1072303X.2021.1918602

Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Delgado, J. M. D., & Bilal, M. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299. doi:10.1016/j.jobe.2021.103299

Akinwalere, S. N., & Ivanov, V. (2022). Artificial intelligence in higher education: Challenges and opportunities. Border Crossing, 12(1), 1–15. doi:10.33182/bc.v12i1.2015

Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2, 431–440. doi:10.1007/s43681-021-00096-7

Akşab, Ş., & Seggie, F. N. (2024). Yükseköğretimde yapay zekâ: öğretim, araştırma ve topluma hizmet açısından bakış. Eğitimde Kuram ve Uygulama, 20(2), 29-43. doi:10.17244/eku.1457088

Aldosari, S. A. M. (2020). The future of higher education in the light of artificial intelligence transformations. International Journal of Higher Education, 9(3), 145-151. doi:10.5430/ijhe.v9n3p145

Atasever, M. (2021). Yapay zekânın yönetici verimliliğini artırma potansiyeli üzerine bir değerlendirme. Sosyal, Beşeri ve İdari Bilimler Dergisi, 4(11), 1110-1120. doi:10.26677/TR1010.2021.865

Barrett, M., Branson, L., Carter, S., DeLeon, F., Ellis, J., & Gundlach, C. (2019). Using artificial intelligence to enhance educational opportunities and student services in higher education. Inquiry: The Journal of the Virginia Community Colleges, 22(1), 11.

Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17(1). doi:10.1186/s41239-020-00218-x

Behera, A., Trivedi, P., Patra, S. K., & Makeni, C. (2025). Artificial intelligence and higher education: A systematic review. American Journal of STEM Education, 11, 27-52. doi:10.32674/0x43s107

Bhatnagar, H. (2020). Artificial intelligence-a new horizon in Indian higher education. Journal of Learning and Teaching in Digital Age, 5(2), 30-34.

Bosman, L., Kotla, B., Madamanchi, A., Bartholomew, S., & Byrd, V. (2023). Preparing the future entrepreneurial engineering workforce using web-based AI-enabled tools. European Journal of Engineering Education, 48(5), 1–18. doi:10.1080/03043797.2022.2119122

Bursalıoğlu, Z. (2005). Eğitim yönetiminde teori ve uygulama (8. Baskı). Pegem.

Chatterjee, S., & Sreenivasulu, N. S. (2019). Personal data sharing and legal issues of human rights in the era of artificial intelligence: moderating effect of government regulation. International Journal of Electronic Government Research (IJEGR), 15(3), 21-36.

Chen, H. (2024). The ethical challenges of educational artificial intelligence and coping measures: A discussion in the context of the 2024 World Digital Education Conference. Science Insights Education Frontiers, 20(2), 3263–3281. doi:10.15354/sief.24.re339

Chiu, M. C., Hwang, G. J., Hsia, L. H., & Shyu, F. M. (2022). Artificial intelligence-supported art education: A deep learningbased system for promoting university students’ artwork appreciation and painting outcomes. Interactive Learning Environments, 32(3), 824–842. doi:10.1080/10494820.2022.2100426

Crompton, H., & Song, D. (2020). The potential of artificial intelligence in higher education. Revista Virtual Universidad Católica Del Norte, (62), 1–4. doi:10.35575/rvucn.n62a1

Dennis, M. J. (2018). Artificial intelligence and recruitment, admission, progression, and retention. Enrollment Management Report, 22(9), 1-3. doi:10.1002/emt.304793

Doğan, O., Demir M., Yaşar H. (2025). Artificial intelligence in higher education management: Opportunities, challenges, and future perspectives. Akşehir Meslek Yüksekokulu Sosyal Bilimler Dergisi, 20, 227- 243

Essel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in ghanaian higher education. International Journal of Educational Technology in Higher Education, 19(14), 1–19. doi:10.1186/s41239-022-00362-6

Fullan, M., Azorín, C., Harris, A., & Jones, M. (2024). Artificial intelligence and school leadership: Challenges, opportunities and implications. School Leadership & Management, 44(4), 339–346. doi:10.1080/13632434.2023.2246856

Göçen, A., & Döğer, M. F. (2025). A global perspective on artificial intelligence in educational leadership. The Journal of Educational Research, 1–19. doi:10.1080/00220671.2025.2510397

Igbokwe, I. C. (2023). Application of artificial intelligence (AI) in educational management. International Journal of Scientific and Research Publications, 13(3), 300-306. doi:10.29322/IJSRP.13.03.2023.p13536

Indrawati, S. M., & Kuncoro, A. (2021). Improving competitiveness through vocational and higher education: Indonesia’s vision for human capital development in 2019–2024. Bulletin of Indonesian Economic Studies, 57(1), 29-59. doi:10.1080/00074918.2021.1909692

Karakose, T., & Tulubas, T. (2025). The role of educational leaders in the age of artificial intelligence (AI). Educational Process: International Journal, 16, 1-22, e2025267. doi:10.22521/edupij.2025.16.267

Karakuş, G. (2025). Dijital liderliğin yenilikçi iş davranışı üzerindeki etkisinde iş biçimlendirmenin aracı rolü. Bulletin of Economic Theory and Analysis, 10(1), 125-154.

Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2022). Trustworthy artificial intelligence: A review. ACM Computing Surveys, 55(2), 1–38. doi:10.1145/3491209

Kelly, B. (2021). Cybersecurity in higher education: Going from ‘no’ to ‘know’. Edscoop. Retrieved from www.edscoop.com/cybersecurity-higher-educationbrian-kelly/

Kerr, K. (2020). Ethical considerations when using artificial intelligence-based assistive technologies in education. In Ethical use of technology in digital learning environments: Graduate student perspectives (pp. 1-141). University of Calgary.

Kuleto, V., Ilic, M., Dumangiu, M., Rankovic, M., Martins, O. M., Paun, D., & Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. doi:10.3390/su1318104245

Leoste, J., Jõgi, L., Õun, T., Pastor, L., San Martín López, J., & Grauberg, I. (2021). Perceptions about the future of integrating emerging technologies into higher education—the case of robotics with artificial intelligence. Computers, 10(9), 110. doi:10.3390/computers10090110

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2022). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 1–21. doi:10.1007/s10639-022-11316-w

Ocaña Fernández, Y., Valenzuela Fernández, L. A., & Garro Aburto, L. L. (2019). Artificial intelligence and its implications in higher education. Journal of Educational Psychology-Propositos y Representaciones, 7(2), 553-568.

Owoc, M. L., Sawicka, A., & Weichbroth, P. (2021). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In Artificial Intelligence for Knowledge Management: 7th IFIP WG 12.6 International Workshop, AI4KM 2019, Held at IJCAI 2019, Macao, China, August 11, 2019, Revised Selected Papers (pp. 37-58). Springer International Publishing. doi:10.1007/978-3-030-85001-2_4

Roumate, F. (2023). Ethics of artificial intelligence, higher education, and scientific research. In Bridging Human and Machine: Future Education with Intelligence (pp. 129–144). doi:10.1007/978-981-19-8641-3_10

Ryzheva, N., Nefodov, D., Romanyuk, S., Marynchenko, H., & Kudla, M. (2024). Artificial Intelligence in higher education: opportunities and challenges. Amazonia Investiga, 13(73), 284-296. doi: 10.34069/AI/2024.73.01.24

Saaida, M. B. E. (2023). AI-Driven transformations in higher education: Opportunities and challenges. International Journal of Educational Research and Studies, 5(1), 29-36. doi:10.5281/zenodo.8164414

Sposato, M. (2025). Artificial intelligence in educational leadership: a comprehensive taxonomy, and future directions. International Journal of Educational Technology in Higher Education, 22(20), 2-18. doi:10.1186/s41239-025-00517-1

Taneri, G. U. (2020). Artificial Intelligence & Higher Education: Towards Customized Teaching and Learning, and Skills for an AI World of Work (Research & Occasional Paper Series: CSHE. 6.2020). Center for Studies in Higher Education.

Tang, Y., Liang, J., Hare, R., & Wang, F. Y. (2020). A personalized learning system for parallel intelligent education. IEEE Transactions on Computational Social Systems, 7(2), 352–361. doi:10.1109/TCSS.2020.2965198

Vacarelu, M. (2023). Artificial intelligence and higher education legal limits. In Bridging Human and Machine: Future Education with Intelligence (pp. 15–33). doi:10.1007/978-981-19-8641-3_2

Vieriu, A. M., & Petrea, G. (2025). The impact of artificial intelligence (AI) on students’ academic development. Education Sciences, 15(3), 2-12. doi:10.3390/educsci15030343

Wang, S., Wang, H., Jiang, Y., Li, P., & Yang, W. (2021). Understanding students’ participation of intelligent teaching: An empirical study considering artificial intelligence usefulness, interactive reward, satisfaction, university support and enjoyment. Interactive Learning Environments, 31(9), 1–17. doi:10.1080/10494820.2021.2012813

Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), 6716. doi:10.3390/app13116716

Xia, Q., Chiu, T. K., Zhou, X., Chai, C. S., & Cheng, M. (2022). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100-118. doi:10.1016/j.caeai.2022.100118

Zhang, L., Fu, K., & Liu, X. (2022). Artificial intelligence in education: ethical issues and its regulations. In Proceedings of the 5th International Conference on Big Data and Education (pp. 1–6). doi:10.1145/3524383.35244

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. doi:10.1186/s41239-019-0171-0

Zeide, E. (2019). Artificial intelligence in higher education: Applications, promise and perils, and ethical questions. Educause Review, 54(3). Retrieved from https://er.educause.edu/articles/2019/5/artificial-intelligence-in-higher-education-applications-promise-and-perils-and-ethical-questions