This paper proposes a decision-support model for assessing smart education infrastructure in higher education institutions. The study transforms the concept of smart education infrastructure into a measurable institutional framework based on six key dimensions: interconnectivity, automation, adaptivity, data-driven management, flexibility, and security and governance. To support institutional digital assessment, a weighted Smart Education Infrastructure Readiness Index (SEIRI) is introduced for evaluating implementation maturity, classifying readiness levels, and identifying priority areas for improvement. The proposed approach also includes a dashboard-oriented workflow that integrates data acquisition, score normalization, readiness calculation, and recommendation generation. A pilot expert-informed illustrative scenario involving three anonymized institutional units is used to demonstrate how the model computes readiness levels, ranks infrastructure deficits, and generates targeted recommendations for institutional development. The contribution of the study lies in the development of an applied IT artifact that combines a formalized readiness assessment algorithm with a deployable decision-support workflow for smart education infrastructure management.
D. Stankevich, Z. Gaibnazarova, O. Naumovich, M. Tuychieva, and G. Shadieva, “The role of universities in digital transformation: Challenges and prospects,” in Digital Transformation of Socio-Economic and Technical Systems: Theory and Practice, A. Skhvediani, A. Kulachinskaya, and M. Mateeva Petrova, Eds., Lecture Notes in Networks and Systems, vol. 1309. Cham, Switzerland: Springer, 2025, pp. 179-191, [Online]. Available: https://doi.org/10.1007/978-3-031-85608-2_13.
S. A. Yuldasheva, M. J. Khusnuddinova, T. A. Dugina, and N. V. Shchukina, “Digital inclusion as a macroeconomic mechanism for solving the problem of higher education in Russia in the context of the large-scale process of internationalization of universities,” in University 4.0 and Educational Technology for Sustainable Development, B. S. Sergi, E. G. Popkova, A. A. Adieva, and N. K. Atabekova, Eds., Education in the Asia-Pacific Region: Issues, Concerns and Prospects, vol. 75. Singapore: Springer, 2025, pp. 339-348, [Online]. Available: https://doi.org/10.1007/978-981-96-7376-6_34.
UNESCO-ICHEI, Report on Digital Transformation in Higher Education in South Asia. Paris, France: UNESCO, 2025.
A. Fernández, B. Gómez, K. Binjaku, and E. Kajo Meçe, “Digital transformation initiatives in higher education institutions: A multivocal literature review,” Education and Information Technologies, vol. 28, pp. 12351-12382, 2023, [Online]. Available: https://doi.org/10.1007/s10639-022-11544-0.
N. Min-Allah and S. Alrashed, “Smart campus-A sketch,” Sustainable Cities and Society, vol. 59, Art. no. 102231, 2020, [Online]. Available: https://doi.org/10.1016/j.scs.2020.102231.
R. Jurva, M. Matinmikko-Blue, V. Niemelä, and S. Nenonen, “Architecture and operational model for smart campus digital infrastructure,” Wireless Personal Communications, vol. 113, pp. 1437-1454, 2020, [Online]. Available: https://doi.org/10.1007/s11277-020-07221-5.
Z. Y. Dong, Y. Zhang, C. Yip, S. Swift, and K. Beswick, “Smart campus: Definition, framework, technologies, and services,” IET Smart Cities, vol. 2, no. 1, pp. 43-54, 2020, [Online]. Available: https://doi.org/10.1049/iet-smc.2019.0072.
K. Polin, T. Yigitcanlar, M. Limb, and T. Washington, “The making of smart campus: A review and conceptual framework,” Buildings, vol. 13, no. 4, Art. no. 891, 2023, [Online]. Available: https://doi.org/10.3390/buildings13040891.
N. Samancioglu and S. Nuere, “A determination of the smartness level of university campuses: The Smart Availability Scale (SAS),” Journal of Engineering and Applied Science, vol. 70, Art. no. 10, 2023, [Online]. Available: https://doi.org/10.1186/s44147-023-00179-8.
H. Crompton and D. Burke, “Artificial intelligence in higher education: The state of the field,” International Journal of Educational Technology in Higher Education, vol. 20, Art. no. 22, 2023, [Online]. Available: https://doi.org/10.1186/s41239-023-00392-8.
M. Bond, H. Khosravi, M. de Laat, N. Bergdahl, V. Negrea, E. Oxley, P. Pham, S. W. Chong, and G. Siemens, “A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour,” International Journal of Educational Technology in Higher Education, vol. 21, Art. no. 4, 2024, [Online]. Available: https://doi.org/10.1186/s41239-023-00436-z.
D. Ifenthaler and J. Y.-K. Yau, “Utilising learning analytics to support study success in higher education: A systematic review,” Educational Technology Research and Development, vol. 68, pp. 1961-1990, 2020, [Online]. Available: https://doi.org/10.1007/s11423-020-09788-z.
E. T. Khor and Mutthulakshmi K., “A systematic review of the role of learning analytics in supporting personalized learning,” Education Sciences, vol. 14, no. 1, Art. no. 51, 2024, [Online]. Available: https://doi.org/10.3390/educsci14010051.
K. Njenga, L. Garg, A. K. Bhardwaj, V. Prakash, and S. Bawa, “The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward,” Telematics and Informatics, vol. 38, pp. 225-246, 2019, [Online]. Available: https://doi.org/10.1016/j.tele.2018.10.007.
J. B. Ulven and G. Wangen, “A systematic review of cybersecurity risks in higher education,” Future Internet, vol. 13, no. 2, Art. no. 39, 2021, [Online]. Available: https://doi.org/10.3390/fi13020039.
A. Y. Eshetu, E. A. Mohammed, and A. O. Salau, “Cybersecurity vulnerabilities and solutions in Ethiopian university websites,” Journal of Big Data, vol. 11, Art. no. 118, 2024, [Online]. Available: https://doi.org/10.1186/s40537-024-00980-z.
M. M. Talipov, “Computational Modeling and Analysis of Mechanical Power Consumption in Train Assemblers’ Work,” Proceedings of the International Conference on Applied Innovation in IT, vol. 13, no. 2, pp. 419-426, 2025, [Online]. Available: https://doi.org/10.25673/120513.
