Integration of Artificial Intelligence (AI) into School Supervision in South-South Geopolitical Zone of Nigeria

Dr Mercy Egbai Egbai & Dr Michael Chukwudi Uzoigwe

Abstract

This study examined the integration of Artificial Intelligence (AI) into school supervision in the South-South geopolitical zone of Nigeria. The objectives were to determine the extent of AI integration, identify its benefits, challenges, and to explore strategies for enhancing its effective utilization. The study adopted a survey design, using a sample of 642 respondents drawn from a population of 6,420 principals and vice-principals from public and private secondary schools in the study area. A structured questionnaire titled Artificial Intelligence Integration in School Supervision Questionnaire (AIISSQ), was used for data collection. Data were analyzed using descriptive statistics. Findings revealed that AI integration in school supervision remains at a low level, hindered by poor infrastructure, limited technical capacity, and inadequate funding. However, AI was found wanting in improving supervisory efficiency, data accuracy, and decision-making processes. The study concluded that AI has the potential to transform supervision in secondary schools if properly harnessed. It recommended enhanced training for supervisors, adequate funding, improved infrastructure, policy support, and collaboration with technology experts to ensure sustainable AI integration in educational supervision.

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