ARTIFICIAL INTELLIGENCE AND STUDENTS' SKILL ACQUISITION FOR MANAGING ENVIRONMENTAL HEALTH RISKS IN UYO, NIGERIA

The status of environmental health of any region is a function of the knowledge and skills of the people on issues of environmental health risks (EHRs). This study explored the effectiveness of artificial intelligence (AI) utilization in promoting students' acquisition of skills for effective management of environmental health risk in Uyo Local Government Area. Two purposes were formed for the study. The correlational survey research design was employed. The population of 68 students were used from which all were used as sample. The data were derived with the aid of Canvas Magic Studio and the researchers' designed instrument entitled: AI-Students' Optimization Scale (AI-SOS). Face validation was utilised while the reliability was estimated with Cohen's Kappa statistics which resulted to the estimate of 0.83. Results revealed that at calculated level of significance of 0.10, null hypothesis was rejected, which implies that AI has significant contribution in the enhancement of illustrative explanations of environmental health risk concepts in Uyo Local Government Area. Results also indicate that at calculated level of significance of 0.12 alpha, the null hypothesis was rejected with implication that AI has significant contribution in the promotion of skills strategies for the management of environmental health risks in Uyo Local Government Area. It is concluded that AI serves as instructional facility that provides students with functional examples that are real-timed, to inject them with practical knowledge and valuable skills towards promoting their zeal for environmental health protection and promotion. Therefore, it is recommended that government and corporate individuals should provide schools with essential digital technology and functional electricity generating source that can assists optimal utilization of AI in the enhancement of teaching and learning for quality skill and knowledge acquisition for effective management of environmental health.