Influence of Artificial Intelligence Tools on Professional Development of Academic Staff in Public Universities in Rivers State
Nwafor, Onyinyechi Faith, Eric Chikweru Amadi PhD, Gladys,Ejimle Aleru PhD
Abstract
This study investigated influence of Artificial Intelligence tools on professional development of academic staff in public universities in Rivers State. Three objectives, three research questions and three hypotheses guided the Study. A descriptive research design was adopted for the study. A population of 3,356 male and female lecturers from the three Public Universities in Rivers State were used for the study. A sample size of 357 male and female lecturers was used for the study. The sample size was determine using Taro Yamane formula, while proportionate stratified sampling technique was adopted in selecting a total of 159 male lecturers and 198 female lecturers from the three Public Universities in Rivers State. A self-developed questionnaire titled Influence of AI tools on Professional Development of Academic Staff Questionnaire (IAITPDAS) was used to collect data for the study. The instrument was validated by three experts in Department of Educational Management and Measurement and Evaluation, Rivers State University. A reliability index of 0.82 was obtained for the instruments using Cronbach Alpha method. Mean and Standard deviation were used to analyze the research questions while Z-test statistics was used to test the hypotheses at 0.05 level of significance. The findings of the study revealed that to a high extent ChatGPT, Grammarly and Scholarcy influences the professional development of academic staff in Public Universities in Rivers State. Results from the hypotheses also reveal that there is no significant difference in the mean score of male and female academic staff on the influence of ChatGPT, Grammarly and Scholarcy on professional development of academic staff in public universities in Rivers State. In view of the above, it was recommended among others, that institutions should organize regular workshops and seminars to educate academic staff on the use of AI tools such as ChatGPT, Grammarly, and Turnitin.
References
grammar checkers: Evidence from Nigerian universities. African Journal of Higher
Education Studies, 14(2), 55–70.
Brown, T., Mann, B., & Ryder, N. (2020). Language models are few-shot learners. Advances in
Neural Information Processing Systems, 33(1), 1877–1901.
Chukwuma, L. (2025). Artificial intelligence and educational innovation: Implications for teaching
and learning in Nigerian universities. In Nwuke, J., & Yellowe, C. (Eds.), Emerging Trends
in Technology-Driven Education (pp. 142–158). Port Harcourt: Rivergate Publishers.
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei,
M. M., Wamba, S. F., & Wright, R. (2023). So what if ChatGPT wrote it? Multidisciplinary
perspectives on the implications of generative artificial intelligence for research, practice,
and policy. International Journal of Information Management, 71, 102642.
https://doi.org/10.1016/j.ijinfomgt.2023.102642
Guskey, T. R. (2020). Professional development and teacher change: Theory and practice. Teachers
and Teaching: Theory and Practice, 8(3), 381–391.
Kern, R., Liu, Y., & Wang, J. (2021). AI-driven summarization tools in academic research: Impacts
on reading efficiency and comprehension. Journal of Educational Technology Research
and Development, 69(3), 1567–1585.
Knight, P. (2022). Continuing professional development for a changing workforce. Journal of
Professional Learning and Development, 28(2), 66–82.
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and
other large language models: Applications for education, research, and practice. Journal of
Applied Learning and Teaching, 6(1), 1–19.
McCulloch, G. (2019). The rise of AI-assisted writing tools: Implications for literacy and
education. Journal of Language and Education Technology, 15(4), 92–104.
Nwuke, T. J., & Nwanguma, T. K. (2024). Capacity Building as a Tool for Administrative Staff
Improved Job Performance in Public Universities in Rivers State.". Journal of Social and
Management Sciences, 3(2), 211-225.
Nwuke, T. J., & Yellowe, A. N. (2025). Utilization of Artificial Intelligence in School Supervision
for Effective Administration in Public Secondary Schools in Rivers State,
Nigeria. International Journal of Educational Management, Rivers State University., 1(1),
318-334.
Okolie, U., & Nwachukwu, E. (2021). Leveraging grammar enhancement tools for continuous
professional development of academic staff. Nigerian Journal of Educational Technology,
15(1), 33–47.
Russell, S., & Norvig, P. (2016). Artificial intelligence: A modern approach (3rd ed.). Pearson.
Schon, D. A. (2011). The reflective practitioner: How professionals think in action. Basic Books.
Shahid, R., & Ahmad, S. (2021). AI-based summarization tools for research productivity: A review
of Scholarcy. International Journal of Digital Libraries, 22(3), 203–217.
Tuomi, I. (2018). The impact of artificial intelligence on learning, teaching, and education: Policies
for the future. European Commission Joint Research Centre Report.
