Keywords
data-driven decision-making
educational management
Intelligent Information Systems
Nigerian Colleges of Education
Business Intelligence
data analytics
decision-support systems.
Article Number
045Abstract
The increasing volume of digital information generated by Colleges of Education creates opportunities for evidence-based educational management, yet institutional data are often distributed across separate administrative systems and are not adequately transformed into actionable intelligence. This study developed an Intelligent Information Systems (IIS) framework for data-driven decision-making in Nigerian Colleges of Education. The study adopted a Design Science Research (DSR) approach, focusing on the identification of the educational-management problem, definition of system requirements, framework design, conceptual demonstration and evaluation. The proposed framework integrates institutional data sources, data integration and quality management, an institutional data repository, Business Intelligence and analytics, Artificial Intelligence and Machine Learning, decision-support mechanisms, management dashboards, and governance, security and human oversight. The framework demonstrates how data relating to students, academic programmes, examinations, personnel, institutional resources and other administrative functions can be transformed from operational records into information and intelligent insights for management decisions. The study argues that integrating heterogeneous institutional data with appropriate analytical and intelligent technologies can strengthen evidence-based planning, monitoring, resource allocation, academic administration and institutional performance management. The framework also emphasises that Artificial Intelligence should complement rather than replace professional judgement, with privacy, security, data quality, transparency and human oversight incorporated into institutional implementation. The study contributes a Computer Science-oriented framework for addressing educational-management information challenges in Nigerian Colleges of Education and provides a conceptual foundation for subsequent prototype development and empirical evaluation.References
Buhari, M., Ogwu, J., Samaila, M., & Levi, D. H. (2026). Impact of management information system on the administration of tertiary institutions in Niger State, Nigeria. Kwasu International Journal of Educational Management and Leadership, 1(2), 38–50.
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.
Janse van Vuuren, E. C. (2020). Development of a contextualised data analytics framework in South African higher education: Evolvement of teacher (teaching) analytics as an indispensable component. South African Journal of Higher Education, 34(1), 137–157. https://doi.org/10.20853/34-1-3661
Kankia, H. A., & Atiku, U. (2023). Education management in Nigeria: Problems and solutions. International Journal on Integrated Education, 6(7). https://doi.org/10.31149/ijie.v6i7.4602
Maia, J. de S. Z., Bueno, A. P. A., & Sato, J. R. (2023). Applications of artificial intelligence models in educational analytics and decision making: A systematic review. World, 4(2), 288–313. https://doi.org/10.3390/world4020019
Mashile, E. O., Fynn, A., & Matoane, M. (2023). Curriculum analytics of an Open Distance Learning (ODL) programme: A data-driven perspective. South African Journal of Higher Education, 37(3), 161–182. https://doi.org/10.20853/37-3-4835
Mhlanga, D. (2023). Digital transformation education, opportunities, and challenges of the application of ChatGPT to emerging economies. Education Research International, 2023, Article 7605075. https://doi.org/10.1155/2023/7605075
Nwoko, C., & Ogar, [initials/details to be confirmed]. (2024). [Title/details require verification before inclusion in the final manuscript].
Ogundipe, M. A., Anise, K. K., Adelana, O. P., & Adeniji, A. M. (2023). Management information system and university administration: The case of government-owned universities in Ogun State, Nigeria. Management Research Journal, 12(1), 12–25. https://doi.org/10.37134/mrj.vol12.1.2.2023
Ogunode, N. J., Abiodun, O. J., & Idowu, O. M. (2024). Effective data management and university education administration in Nigeria. Synergy: Cross-Disciplinary Journal of Digital Investigation, 2(1).
Park, G., Liß, L., & van der Aalst, W. M. P. (2024). Learning recommendations from educational event data in higher education. Journal of Intelligent Information Systems. https://doi.org/10.1007/s10844-024-00873-w
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77. https://doi.org/10.2753/MIS0742-1222240302
Prinsloo, P., & Kaliisa, R. (2022). Learning analytics on the African continent: An emerging research focus and practice. Journal of Learning Analytics, 9(2), 218–235. https://doi.org/10.18608/jla.2022.7539
Sequeira, R., Reis, A., Alves, P., & Branco, F. (2024). Roadmap for implementing Business Intelligence systems in higher education institutions: Systematic literature review. Information, 15(4), 208. https://doi.org/10.3390/info15040208
Stojanov, A., & Daniel, B. K. (2024). A decade of research into the application of big data and analytics in higher education: A systematic review of the literature. Education and Information Technologies, 29, 5807–5831. https://doi.org/10.1007/s10639-023-12033-8
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, Article 124167. https://doi.org/10.1016/j.eswa.2024.124167
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2026 Onyenweuwa Basil Onyeogaziri, Agwu Monica E., Agba Favour O. (Author)