Integrating Artificial Intelligence and Digital Connectivity in Remote School Management for Enhanced Educational Outcomes among Secondary Schools in Imo State, Nigeria
Abstract
This study examined the integration of artificial intelligence and digital connectivity in remote school management to enhance educational outcomes in Imo State secondary schools. A descriptive survey design was employed, guided by two research questions and one null hypothesis. The study sampled 542 staff, including 372 teachers and 170 principals, from 296 public secondary schools. A validated questionnaire on “Artificial Intelligence and Digital Connectivity in Remote School Management for Enhanced Educational Outcomes” (QAIDCRSMEEO) with a reliability index of 0.84 was used to collect data, which was analyzed using mean scores, standard deviation, and t-test statistics at 0.05 level of significance. From the findings, the study revealed insufficient digital literacy, limited ICT infrastructure, staff resistance, inadequate funding, unreliable internet, and unstable power supply as the challenges of integrating artificial intelligence and digital connectivity in remote school management for enhanced educational outcomes in secondary schools. The study also revealed that principals can be supported in integrating artificial intelligence and digital connectivity in remote school management for enhanced educational outcomes in secondary schools through capacity-building programs, resource allocation, and infrastructure provision, regular monitoring, community engagement, professional standards, and government incentives for ICT adoption. The study concluded that integrating artificial intelligence and digital connectivity in remote school management has the potential to enhance educational outcomes in secondary schools.
Fields of Study & Subjects
Educational Management and Quality
Artificial Intelligence in Education
African Education and Politics
Publication details
- Journal / source
- Federal University Gusau Faculty of Education Journal
- Volume
- 6
- Issue
- 2
- Pages
- 38–43
- Publication date
- 4 March 2026
- Language
- EN