Artificial Intelligence, School Supervision and School Plant Management in Public Secondary Schools in Abuja, Nigeria

Abstract

The objectives of this study was to assess the impact of artificial intelligence on School Supervision and School plant management in public secondary schools in Federal Capital Territory, Abuja, Nigeria. The study adopted a descriptive survey design. The population of this study included all the 292 public senior secondary schools in Abuja. A sample size of 400 principals and vice principals was drawn using stratified random sampling technique. The research instrument was titled “Artificial Intelligence and School supervision and School Plant Management Questionnaire (AISSSPMQ)”. Four points rating scale of (a) strongly agree (S.A) – 4, (b) Agree (A) – 3, (c) Disagree (D) – 2, and (d) Strongly Disagree (S.D) – 1 were adopted for the study. The instrument was validated by three lecturers in the Department of Educational Management, University of Abuja. The reliability of the instrument was computed using Cronbach Alpha reliability coefficient. Reliability coefficient of 0.87 was obtained. Data obtained were analyzed using Pearson Product Moment Correlation (t-test) and tested at 0.05 level of significance. The study concluded that there was significant relationship between artificial intelligence and effective school supervision and there was significant relationship between artificial intelligence and effective school plant management in public secondary school in FCT, Abuja, Nigeria.