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Artificial Intelligence for Sustainable Academic Staff Job Performance in Tertiary Educational Institutions in A Period of Rising Economic Downturn in South-East, Nigeria.
Subject area: Arts, Social Sciences and Humanities · Area of research: Educational Management and Technology
DOI: https://doi.org/10.64388/IREV9I3-1710995
Abstract
The study investigates artificial intelligence for sustainable academic staff job performance in tertiary educational institutions in a period of rising economic downturn in South-East Nigeria, using ChatGPT and Chatbot as the indicators of artificial intelligence. The study adopted descriptive survey design. 340 academic staff was randomly selected from a population of 805 academic staff in the Faculty of Education in five (5) tertiary educational institutions across the South-East 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 analyze 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-East 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-East Nigeria. It was recommended that tertiary institutions in South-East 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.
Keywords
Artificial Intelligence, Academic Staff, Job Performance Economic Downturn, Tertiary Education, and Sustainability.
How to cite this paper
@article{1710995,
author = {Onuoha Victor Ikechukwu, Nwaokeorie Enyinnaya Samuel, Nduaguibe Ugochukwu Joe},
title = {Artificial Intelligence for Sustainable Academic Staff Job Performance in Tertiary Educational Institutions in A Period of Rising Economic Downturn in South-East, Nigeria.},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {3},
pages = {2239-2249},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710995.pdf},
abstract = {The study investigates artificial intelligence for sustainable academic staff job performance in tertiary educational institutions in a period of rising economic downturn in South-East Nigeria, using ChatGPT and Chatbot as the indicators of artificial intelligence. The study adopted descriptive survey design. 340 academic staff was randomly selected from a population of 805 academic staff in the Faculty of Education in five (5) tertiary educational institutions across the South-East 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 analyze 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-East 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-East Nigeria. It was recommended that tertiary institutions in South-East 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.},
keywords = {Artificial Intelligence, Academic Staff, Job Performance Economic Downturn, Tertiary Education, and Sustainability.},
month = {September},
doi = {https://doi.org/10.64388/IREV9I3-1710995}
}