IMPACT OF ARTIFICIAL INTELLIGENCE ON JOB PERFORMANCE OF HIGHER EDUCATION MANAGERS IN STATE-OWNED UNIVERSITIES IN SOUTH-SOUTH

Abstract

The study examined the impact of artificial intelligence on job performance of higher education managers in state-owned universities in South-south. Two research questions were posed and answered, while two corresponding hypotheses were tested at a 0.05 level of significance. This study adopted an expo facto survey research design. The population of this study consisted of higher education managers including their principal officers saddled with academic, managerial and administrative responsibilities in the BRACED (Bayelsa, Rivers, Akwa Ibom, Cross river, Edo and Delta) states in south-south zone political region of Nigeria. The instrument used was a researcher developed questionnaire. The instrument was subjected to content and face validity and reliability test which gave a coefficient of stability of 0.71 and 0.75 respectively. Data gathered for research questions were analyzed with mean and standard deviation, while the two formulated hypotheses were analyzed using independent samples t-test and Paired T-Test respectively. The findings of the study revealed that mean decision-making processes of higher education managers in state-owned universities in the South-South region are not significantly different between institutions that have adopted Artificial Intelligence tools and institutions that have not adopted Artificial Intelligence tools and the  integration of AI has a significant impact on the administrative efficiency and workload of higher education managers in state-owned universities in the South-South region. It was recommended that state-owned universities in the South-South region conduct a comprehensive assessment of their AI integration strategies and that institution should prioritize strategic training programs.