Abstract
The importance of Artificial Intelligence (AI) in tertiary institutions has attracted greater attention of scholars, particularly in locations where universities faces enormous challenges in terms of insufficient resources, excessive workloads, and the demand for high quality productivity. This study empirically investigated the role of AI in enhancing academic staff productivity in public universities across North East Nigeria. The study adopted a descriptive survey design, and the target population was academic staff drawn from six state-owned universities in the region. The study used a multistage sampling technique in selecting 420 respondents, and structured questionnaires were used to collect data on AI usage, teaching effectiveness, research output, and administrative performance. Data collected were analyzed using descriptive statistics, correlation, and multiple regression to find out the extent of AI’s influence on staff productivity. Results showed that AI tools significantly enhance teaching preparation, content delivery, and student engagement, while also promoting efficiency in research and administrative tasks. However, some constraints such as shortage of infrastructure, inadequate training, and apathy to technology adoption reduced optimal utilization. The study concludes that AI adoption promotes academic productivity in the 21st-century Nigerian university system. It recommends improved funding of digital infrastructure, capacity building, and supportive institutional policies to maximize the transformative potential of AI in tertiary institutions in North East Nigeria.
Keywords
Selected References
Abubakar, M., & Hassan, T. (2021).
Digital transformation and higher education in Nigeria: Challenges and opportunities. Nigerian Journal of Educational Technology, 15(2), 45–59. Bello, A. (2023).
Artificial Intelligence and administrative efficiency in Nigerian universities. Journal of Education and Development Studies, 11(1), 77–89. Davis, F. D. (1986).
A technology acceptance model for empirically testing new end-user information systems: Theory
and results
(Doctoral dissertation, Massachusetts Institute of Technology). Ibrahim, L., Musa, K., & Tanko, S. (2022).
Exploring Artificial Intelligence applications in Nigerian higher education. African Journal of ICT in Education, 8(3), 112–126. Mohammed, U., & Idris, R. (2023).
Artificial Intelligence and teaching effectiveness in Nigerian public universities. Nigerian Educational Research Review, 18(2), 33–49. Musa, A., & Yakubu, B. (2023).
Barriers to technology adoption in universities: Evidence from North East Nigeria. Contemporary Issues in Education, 9(4), 144–160. Okafor, J., & Bello, Y. (2021).
Higher education reforms and productivity of academic staff in Nigeria. Nigerian Journal of Higher Education, 13(1), 21–37. Suleiman, A. (2022).
Academic staff productivity and challenges in Nigerian universities. Journal of Higher Education Studies in Nigeria, 14(2), 55–68. Yahaya, H., & Ibrahim, M. (2021).
University education and technological innovation in North East Nigeria. Journal of Educational Policy and Administration, 6(2), 91–105. Yusuf, M., & Akinyele, D. (2023).
Artificial Intelligence in African universities: Trends and prospects. Journal of Emerging Technologies in Education, 10(1), 56–70. Yakubu, A. (2021).
The global adoption of Artificial Intelligence in teaching and research. International Journal of Educational Innovations, 14(3), 201–215.References