Efficiency of Artificial Intelligence (AI) - Enhanced Systems in Secondary Schools Administration in North-East Nigeria

Abstract

This study evaluated the efficiency of AI-enhanced systems in school administration and their impact on decision-making in secondary schools in North-East Nigeria. A descriptive survey design was employed, with 180 administrators sampled from schools in Adamawa, Borno, and Taraba States. Data were collected via structured questionnaires assessing AI adoption, administrative efficiency, and decision-making effectiveness. Descriptive and inferential analyses, including Pearson correlation and regression, were performed. Results revealed that AI systems significantly improved administrative efficiency, with 81% of respondents using automated attendance tracking and 77% employing digital recordkeeping. Other AI applications included automated reporting (67%) and workflow optimization (57%). Correlation (r = 0.61) and regression analysis (β = 0.58) confirmed that AI adoption positively influences administrative efficiency and data-driven decision-making. Challenges included infrastructure deficits, limited staff training, and resistance to technological adoption. The study concludes that AI-enhanced systems can transform school administration by streamlining processes, reducing errors, and supporting timely decisions. Recommendations emphasize the need for investment in ICT infrastructure, continuous staff training, and organizational support to ensure effective and sustainable AI integration in secondary school administration.