Artificial Intelligence: A Paradigm Shift in Education and Management of Public Senior Secondary Schools in Rivers State

Abstract

The study examined the relationship between artificial intelligence paradigm shift in education and the management of public senior secondary schools in Rivers State. 2 research questions and 2 null hypotheses guided the study. The study adopted a correlational research design. The population of the study was 311 principals from 311 senior secondary schools in the 23 local government areas of Rivers State. The entire population was used as the sample of the study, depicting census sampling technique. The instruments of the study were titled, “Artificial Intelligence: A paradigm shift in Education Questionnaire (AIPSE) and Management of Public Senior Secondary School (MPSSS) Questionnaire." The instruments were structured on a four-point rating scale and validated by experts. The Cronbach Alpha statistics were used to obtain the reliability indexes of 0.81 and 0.81. A total of 311 copies of the instruments were administered to the respondents, retrieved and used for data analyses. The research questions were answered using Pearson Product Moment Correlation, while the null hypotheses were tested using t-transformation statistics at 0.05. level of significance. The finding revealed that symbolic and machine-learning artificial intelligence have a significant relationship with the management of public senior secondary schools in River State. Based on the findings of the study, it was recommended, among others, that the government should provide the basic infrastructure and train principals on the basic skills needed for effective adoption of artificial intelligence in the management of public senior secondary schools for efficacy and effective achievement of educational goals and objectives.