ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE ACADEMIC STAFF JOB PERFORMANCE IN TERTIARY EDUCATIONAL INSTITUTIONS IN A PERIOD OF RISING ECONOMIC DOWNTURN IN SOUTH-SOUTH NIGERIA
The study investigates artificial intelligence for sustainable academic staff job performance in tertiary educational institutions in a period of rising economic downturn in South-South Nigeria, using ChatGPT and Chatbot as the indicators of artificial intelligence. The study adopted descriptive survey design. 341 academic staff was randomly selected from a population of 807 academic staff in the Faculty of Education in six tertiary educational institutions across the South-South states in Nigeria, to form the sample size. A 15-itemed questionnaire titled “ Artificial Intelligence for Sustainable Academic Staff Job Performance Questionnaire” (AISASJPQ) was adopted as the instrument for data collection. Both descriptive and inferential statistics were deployed to analyse the collected data. From the analysis, the study revealed that there is a significant relationship between use of ChatGPT/ use of Chatbot and sustainable academic staff job performance in tertiary educational institutions in a period of rising economic downturn in South-South, Nigeria. Conclusively, the study revealed that artificial intelligence is a useful tool for sustainable academic staff job performance in tertiary educational institutions in a period of rising economic downturn in South-South Nigeria. It was recommended that tertiary institutions in South-South Nigeria should prioritize investment in AI tools and technologies that are tailored to educational environments. Allocating funds towards AI infrastructure, even amid financial constraints, can yield long-term benefits by improving efficiency and reducing operational costs.
Keyword: Artificial Intelligence, Academic Staff , Job Performance and Economic Downturn
