The Role of Artificial Intelligence in Curriculum Development at the Tertiary Education Level
DOI:
https://doi.org/10.64420/jippg.v2i1.250Keywords:
lecturers, Teaching practices, Professional competency, Artificial Intelligence, Curriculum development, Tertiary institutionsAbstract
Background: Integrating Artificial Intelligence (AI) into higher education holds significant potential to enhance pedagogy, yet institutional and contextual barriers often hinder implementation in developing regions. Objective: This study investigated the factors influencing lecturers' teaching practices, professional competency needs, and perceived challenges regarding AI integration in curriculum development across tertiary institutions in Anambra State, Nigeria. Method: A descriptive survey design was employed with 62 lecturers sampled through an online Likert-scale questionnaire (alpha = 0.85) distributed via Google Forms. Data were analyzed using descriptive statistics and Analysis of Variance (ANOVA) in SPSS version 23. Result: Findings revealed that AI offers substantial benefits, notably replicating effective teaching strategies, supporting data-driven curriculum planning, and personalizing student learning. However, prominent systemic barriers emerged, particularly insufficient technical expertise, educator resistance, limited access to high-quality data, and financial constraints. ANOVA tests indicated no significant perceptual differences regarding these benefits and limitations across varying years of teaching experience (p > 0.05). Conclusion: AI presents transformative opportunities for tertiary curricula, but effective institutional adoption necessitates mitigating operational bottlenecks, bridging skill deficits, and establishing ethical frameworks. Originality/Value: This research enriches the empirical discourse on educational technology in developing economies by uncovering critical faculty perspectives on AI-driven curriculum development. It provides strategic references for policymakers to direct digital infrastructure investments and design sustainable faculty training programs.
References
Awan, R. (2024). Impact of AI on Personalized Learning and Curriculum Delivery. Multidisciplinary Journal of Emerging Needs of Curriculum, 1(2), 1-9. https://www.researchcorridor.org/index.php/MJENC/article/view/16
Ayanwale, M. A., Adelana, O. P., Molefi, R. R., Adeeko, O., & Ishola, A. M. (2024). Examining artificial intelligence literacy among pre-service teachers for future classrooms. Computers and Education Open, 6, 100179. https://doi.org/10.1016/j.caeo.2024.100179
Bae, Y., Yoo, I., Jang, J., Kim, D., Yu, W., & Kim, W. (2020). Exploration of AI Curriculum Development for Graduate School of Education. Journal of The Korean Association of Information Education, 24(5), 433-441. http://dx.doi.org/10.14352/jkaie.2020.24.5.433
Chisom, O. N., Unachukwu, C. C., & Osawaru, B. (2023). Review of AI in education: transforming learning environments in Africa. International Journal of Applied Research in Social Sciences, 5(10), 637-654. https://doi.org/10.51594/ijarss.v5i10.725
Chiu, T. K., Meng, H., Chai, C. S., King, I., Wong, S., & Yam, Y. (2021). Creation and evaluation of a pretertiary artificial intelligence (AI) curriculum. IEEE Transactions on Education, 65(1), 30-39. https://doi.org/10.48550/arXiv.2101.07570
Eiriemiokhale, K. A., Oyedepo, F. S., & Sulyman, A. S. (2024). Adopting Artificial Intelligence in a Blended Learning Environment: Issues and Prospects in Nigeria. In Conference Organising Committee (p. 49). https://www.researchgate.net/publication/382085741
Endurance, A., Onah Eunice, N., Uzoma Anthonia, C., & Andor Sebastine, E. (2021). Integration of Artificial Intelligence Tool (Ai-Chatbot) into Teaching and Learning: A Panacea for Improving UniversitiesEducational and Administrative Duties in South-South, Nigeria. J Comput Sci Syst Biol, 14, 357. https://www.hilarispublisher.com/open-access/.pdf
Iweuno, B. N., Orekha, P., Ojediran, O., Imohimi, E., & Adu-Twum, H. T. (2024). Leveraging Artificial Intelligence for an inclusive and diversified curriculum. World Journal of Advanced Research and Reviews, 23(2), 1579-1590. https://wjarr.com/sites/default/files/WJARR-2024-2440.pdf
Jatileni, C. N., Sanusi, I. T., Olaleye, S. A., Ayanwale, M. A., Agbo, F. J., & Oyelere, P. B. (2023). Artificial intelligence in compulsory level of education: Perspectives from Namibian in-service teachers. Education and information technologies, 1-28. https://link.springer.com/article/10.1007/s10639-023-12341-z
Nja, C. O., Idiege, K. J., Uwe, U. E., Meremikwu, A. N., Ekon, E. E., Erim, C. M., Ukah, J. U., Eyo, E. O., Anari, M. I. and Cornelius-Ukpepi, B. U., (2023). Adoption of artificial intelligence in science teaching: From the vantage point of the African science teachers. Smart Learning Environments, 10(1), p.42. https://slejournal.springeropen.com/articles/10.1186/s40561-023-00261-x
Oladipo, E. K., Adeyemo, S. F., Oluwasanya, G. J., Oyinloye, O. R., Oyeyiola, O. H., Akinrinmade, I. D., Elutade, O. A., Areo, D. O., Hamzat, I. O., Olakanmi, O. D. and Ayanronbi, I. I., (2024). Impact and challenges of artificial intelligence integration in the African health sector: a review. Trends Med Res, 19(1), pp.220-235. http://dx.doi.org/10.3923/tmr.2024.220.235
Oluyemisi, O. M. (2023). Impact of Artificial intelligence in Curriculum Development in Nigerian Tertiary Education. International Journal of Educational Research, 12(2), 192-211. https://www.ajol.info/index.php/ijer/article/view/270098
Sanusi, I. T., Agbo, F. J., Dada, A. O., Yunusa, A. A., Aruleba, K. D., Obaido, G., Olawumi, O. and Oyelere, S. S., (2024). Stakeholders’ insights on artificial intelligence education: Perspectives of teachers, students, and policymakers. Computers and Education Open, p.100212. https://doi.org/10.1016/j.caeo.2024.100212
Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072. https://doi.org/10.1016/j.caeai.2022.100072
Ukeje, I. O., Elom, C. O., Ayanwale, M. A., Umoke, C. C., & Nwangbo, S. O. (2024). Exploring an innovative educational governance framework: Leveraging artificial intelligence in a stakeholder-driven'Open Campus Model'in South East Nigerian Universities. International Journal of Learning, Teaching and Educational Research, 23(6), 416-440. https://www.ijlter.org/index.php/ijlter/article/view/10496
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Chukwuka Judith Nkolika

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms: (1) License & Copyright: Authors retain full copyright and grant the journal the right of first publication. The work is simultaneously licensed under a CC BY-SA 4.0 International License, which allows others to share and adapt the material for any purpose, even commercially, provided proper credit is given and derivative works are shared under the same license. (2) Secondary Distribution: Authors may enter into separate, non-exclusive contractual arrangements for the distribution of the journal's published version (e.g., institutional repositories or book chapters), acknowledging its initial publication in this journal. (3) Self-Archiving: Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or personal websites) prior to and during the submission process.





