AI-Enabled Higher Education Management: A Strategic Framework for Improving Student Engagement, Retention and Institutional Performance
DOI:
https://doi.org/10.15662/IJEETR.2026.0804007Keywords:
Artificial Intelligence, Student Engagement, Student Retention, Institutional Performance, Predictive Analytics, Administrative AutomationAbstract
In today's fast-paced educational landscape, AI is playing a pivotal role in transforming the way higher education institutions are managed.AI is transforming higher education management by helping institutions leverage data, automation, and predictive tools for informed decision-making and service delivery. In this article, the researcher explores how AI-driven management can improve student engagement, aid in student retention, and boost institutional effectiveness. The problem is that despite the increasing amounts of institutional data, many institutions are still dealing with student disengagement, withdrawal, delayed interventions, and disjointed information systems and inefficient administrative processes. The study adopts a comparative analytical approach with support of selected institutional case studies and performance indicators. It explores intelligent student support systems, predictive analytics, administrative automation, learning analytics, applications for optimisation of resources and applications for strategic decision support. The results expected highlight the potential of AI to enhance response, earlier detection of at-risk students, and better use of resources. The article presents a framework to support sustainable use of AI in higher education administration through technological capability, institutional readiness, ethical governance, and human oversight along with continuous performance evaluation
References
[1] Cech, Thomas G., et al. “Data Competence Maturity: Developing Data-Driven Decision Making.” Journal of Research in Innovative Teaching & Learning, vol. 11, no. 2, 6 Nov. 2018, pp. 139–158, https://www.emerald.com/jrit/article/11/2/139/246847, 10.1108/jrit-03-2018-0007.
[2] Ivanović, Mirjana, et al. “Current Trends in AI-Based Educational Processes—an Overview.” Learning and Analytics in Intelligent Systems, 1 Jan. 2022, pp. 1–15, 10.1007/978-3-031-04662-9_1.
[3] Khan, Sofia, et al. “Application of Robotic Process Automation in Education Sector.” Journal of Information and Optimization Sciences, vol. 43, no. 7, 3 Oct. 2022, pp. 1815–1834, 10.1080/02522667.2022.2128534.
[4] Seres, Laslo, et al. “DIGITAL TRANSFORMATION of HIGHER EDUCATION: COMPETING on ANALYTICS.” INTED2018 Proceedings, Mar. 2018, 10.21125/inted.2018.2348.
[5] Singh, Shruti, and T. S. Ragi. “AI-Powered Academic Knowledge Management.” Artificial Intelligence and Human Existence, 25 Nov. 2025, pp. 33–51, 10.1201/9781003560463-4.
[6] Xu, Weiqi, and Fan Ouyang. “A Systematic Review of AI Role in the Educational System Based on a Proposed Conceptual Framework.” Education and Information Technologies, vol. 27, 21 Oct. 2021, pp. 4195–4223, 10.1007/s10639-021-10774-y.
[7] Zawacki-Richter, Olaf, et al. “Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where Are the Educators?” International Journal of Educational Technology in Higher Education, vol. 16, no. 1, 28 Oct. 2019, pp. 1–27, https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-019-0171-0, 10.1186/s41239-019-0171-0.
