A FRAMEWORK FOR REAL-TIME DATA-DRIVEN DECISION MAKING IN NIGERIAN PUBLIC BASIC SCHOOL SYSTEM
Abstract
This study presents a comprehensive examination of an innovative framework designed to transform data collection and analysis processes within Nigeria's public basic education system through the implementation of real-time Education Management Information Systems (EMIS). The research systematically addresses critical deficiencies in existing manual data processes by proposing a robust digital architecture that captures user activities to automatically generate accurate education metrics. Drawing upon empirical evidence from Ogun State's successful implementation of the Digital Platform for Education Revitalization (DiPER), the study develops a methodological approach that encompasses data generation through routine school operations, establishes automated validation protocols, and implements dynamic analytics for informed policy formulation. The framework demonstrates the transformative potential of functional EMIS modules to convert daily school activities into actionable insights, thereby addressing persistent challenges related to data reliability, timeliness, and practical utility in Nigerian education governance. Through mixed-methods research incorporating system architecture analysis, stakeholder interviews, and longitudinal data quality assessment, the study validates the proposed model, revealing significant improvements in data accuracy (demonstrated by a 63% enhancement), reporting efficiency (evidenced by an 89% reduction in processing time), and policy responsiveness (manifested through 45% faster intervention times) achieved through digital transformation. The paper concludes with evidence-based recommendations for nationwide adoption, emphasizing the critical importance of institutional capacity building, robust data governance structures, and sustainable financing mechanisms. This research makes substantial contributions to global discourse on digital transformation in education administration, particularly for developing contexts confronting similar data-related challenges.
References
Anyakora, C. and Coker, H. (2007). Assessment of polynuclear aromatic hydrocarbon content in four species of fish in the Niger Delta by gas chromatography/mass spectrometry. African Journal of Biotechnology, 6 (6):737-743.
Mabrouki, J., Azrour, M., Dhiba, D., Farhaoui, Y., & Hajjaji, S. El. (2021). IoT-Based Data Logger for Weather Monitoring Using Arduino-Based Wireless Sensor Networks with Remote Graphical Application and Alerts. 4(1), 2532. https://doi.org/10.26599/BDMA.2020.9020018
Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gomez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Rrasad, K. A., She, W., & Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a smarter green plant. Science of the Total Environment. https://doi.org/10.1016/j. scitotenv.2021.148539
Muller, G. (2013). Systems Engineering Research Methods. Procedia Computer Science. 16, 1092-1106.
Nagarajarao, R. C. (2016). Recent advances in processing and packaging of fishery products: A review. Aquatic Procedia, 7, 201213
Neil J. Rowan (2022). The role of digital technologies in supporting and improving fishery and aquaculture across the supply chain Quo Vadis. Aquaculture and Fisheries, https://doi.org/10.1016/j.aaf.2022.06.003
Nikita Mishra, S.K. Jain, N. Agrawal, N.K. Jain, Nikita Wadhawan and N.L. Panwar (2023). Development of drying system by using internet of things for food quality monitoring and control. Energy Nexus 11 (2023) 100219 ing.
Okouzi, A. S, Ayuba, A. B, Ihuahi, J. A & Ugoala, E. R (2023). Digital Prototyping of Foreground Object Detection for life fingerlings counting System in Aquaculture Production in Nigeria; In the proceeding of the International Engineering Conference (IEC2023), Federal University of Technology, Minna, Nigeria. Pp 420 427
Okouzi, A.S.,Ibhadode, A.O.A, Obanor, A.I. and Eze, J.O. (2020). Computational FluidDynamics Simulation of the Batch Process in a Rectangular Passive Greenhouse Dryer.International Journal of Engineering Sciences& Research Technology, 9(4), pp. 95-107 URL:http://www.ijesrt.com/issues%20pdf%20file/Archive-2020/April-2020/12.pdf
Omodara, M. A., Olayemi, F. F., Oyewole, S. N., Ade, A. R., Olaleye, O. O., Abel, G. I. and Peters, O. (2016). The Drying Rates and Sensory Qualities of African Catfish, Clarias gariepinus Dried in Three NSPRI Developed Fish Kilns. Nigerian Journal of Fisheries and Aquaculture 4(1): 42 49, May 2016
Rowan, N. J., Murray, N., Qiao, Y., ONeill, E., Clifford, E., & Power, D. (2022). Digital transformation of peatland eco-innovations (Paludiculture): Enabling a paradigm shift towards the real-time sustainable production of green-friendly products and services. Science of the Total Environment, 838. https://doi.org/10.1016/j. scitotenv.2022.156328
Ramatou Boubacar Seydou, Yenoukounme Euloge Kpoclou, Rabiou Labo Sanda, Iko Afe Herbert, Caroline Douny, Jacques Mahillon, Victor Bienvenu Anihouvi, Marie Louise Scippo, and Djidjoho Joseph Hounhouigan (2023): Improved process and reduction of Polycyclic Aromatic Hydrocarbon (PAH) contamination of kilichi, a grilled meat produced in Niger. ACTES DU SYMPOSIUM, Leading Agricultural Innovation in West Africa. Pg 119 -133.
Swastawati, F., Susanto, E., Cahyono, B., & Trilaksono, W.A. (2012). Sensory evaluation and chemical characteristic of smoked stingray (Dasyatis bleekery) processed by using two different liquid smoke. International Journal of Bioscience, Biochemistry, and Bioinformatics, 2(3), 212-216.
Wankhade, P K, Sapkal, R S, and Sapkal, V S (2013). Drying Characteristics of Okra slices on drying in Hot Air Dryer. Procedia Engineering 51 (12). 371-374
Copyright (c) 2025 FUDMA JOURNAL OF SCIENCES
This work is licensed under a Creative Commons Attribution 4.0 International License.
FUDMA Journal of Sciences
