Perception and Utilization of Artificial Intelligence (AI) in Educational Assessment in Nigerian Higher Institutions of Learning

Authors

  • Taibat A. O. Oladimeji Department of Social Science and Humanities Education, School of General Studies Education, Federal College of Education (Special), Oyo, Oyo State, Nigeria. Author
  • Kingsley Edinoh Test Development Department, National Examinations Council (NECO) Headquarters, Minna, Njger State.Nigeria. Author
  • Ajewole I. Philip Department of Educational Management & Business Studies, Federal University, Oye-Ekiti, Ekiti State, Nigeria. Author
  • Kamoru Abiodun Sabitu Department of Science Education, School of General Studies Education, Federal College of Education (Special), Oyo, Oyo State, Nigeria. Author
  • Omolola Sekinat Fatoyinbo Department of Biology, School of Science Education, Federal College of Education (Technical), Akoka, Lagos, Nigeria. Author
  • Sodeeq Temilayo Oladimeji Department of Computational Science, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria. Author

DOI:

https://doi.org/10.66545/v3qk9125

Keywords:

Artificial intelligence, machine learning, perception, utilization

Abstract

The emergence of Artificial Intelligence (AI) has elicited many ideas and opinions concerning its efficacy in performing educational assessments in higher education institutions. Using Colleges of Education in Oyo State, Nigeria, this study examined the impact of academic integrity and innovative assessment issues on the use of various AI tools by College of Education lecturers in educational evaluation. The research employed an inferential design. The study population consisted of 1,664 lecturers, from whom a sample of 594 participants was selected. The instrument utilized was a four-point scale questionnaire titled “Lecturers' Perception and Utilization of AI Questionnaire in College of Education (LPUAIQCE).” The data were examined using independent t-test, Pearson Product Moment Correlation and Chi-Square statistics. The findings indicated that concerns regarding academic integrity impact College of Education lecturers' perceptions of AI utilization in assessments; this perception regarding innovative assessment significantly influences the lecturers' application of various AI tools in educational evaluation; furthermore, the lecturers' views on AI tool usage are likely correlated with their inclination to customize AI applications within the College of Education. The study concluded that the utilization of AI in educational assessment is not inherently detrimental; rather, the associated dangers must be addressed as it is implemented for student evaluation at the Colleges of Education in Nigeria. It was recommended among others that AI technologies should be meaningfully integrated into educational assessment notably in institutes of education in Nigeria

References

Abdul-Wahab I., Ali A. T., Abdullahi I., Yusuf O. S. & Shehu, A. L. (2024). Artificial intelligence (AI): Perception and utilization of AI technologies in educational assessment in Nigerian Universities. Edukasiana: Jurnal Inovasi Pendidikan, 3(3), 367-380

Alemu, S. K. (2018). The meaning, idea and history of university/higher education in Africa: A brief literature review. Forum for International Research in Education, 4(3), 210-227.

Aluthman, E. S. (2016). The effect of using automated essay evaluation on ESL undergraduate students' writing skill. International Journal of English Linguistics, 6(5), 54-67.

Assie-Lumumba, N. (2005). Higher education in Africa: crises, reforms and transformation. Senegal: Council for the Development of Social Science Research in Africa (CODSERIA).

Baker, T., Smith, L., & Anissa, N. (2019). Education Rebooted? Exploring the future of artificial intelligence in schools and colleges. London, NESTA. https://www.nesta.org.uk/report/education-rebooted.

Copeland, B.J (2022). Artificial Intelligence. https://www.britannica.com/technology/artificialintelligence

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.

Edinoh.K (2024) Impact of teachers on the lives of students and the society. A keynote address presented on the occasion of World Teachers Day and the celebration of an acclaimed author and teacher, Mr. Francis Odiniya on Saturday, 5th October 2024 at St. Charles College Ankpa, Kogi State, Nigeria.

Farjon, D., Smits, A., & Voogt, J. (2019). Technology integration of pre-service teachers is explained by attitudes and beliefs, competency, access, and experience. Computers & Education, 130, 81–93. https://doi.org/10.1016/j.compedu.2018.11.010

Federal Republic of Nigeria (2013). National policy on education. 4th ed. Lagos: Nigerian Educational Research and Development Council.

Frankenfield, J, (2023). Artificial intelligence: What it is and how it is used https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp

Ibrahim, A., & Saleh. B. A. (2020). Schooling process: Is schooling experience and its outcome the same for girls and boys? Randwick International of Education and Linguistics Science (RISS) Journal, 1(2),126-139. DOI: https://doi.org/10.47175/rielsj.v1i2.80

Kingsley, E., Abiola, M.S. & Nwafor, A.C. (2024). Artificial intelligence, teaching and research programmes in tertiary institutions in Nigeria. Cognify: Journal of Artificial Intelligence and Cognitive Science, 1 (1) 56-59.

Martínez-Plumed, F., Caballero, F., Castellano-Falcón, D., Fernández-Llorca, D., Gómez, E., Hupont-Torres, I., Merino, L., Monserrat, C., & Hernández-Orallo, J. (2020). AI watch: Revisiting technology readiness levels for relevant Artificial Intelligence technologies. Publications Office of the European Union. DOI:10.2760/495140, JRC129399

Ogunode, N. J., Edinoh, K., & Okolie, R. C. (2023a). Public private partnership model and implementation of tertiary education programme in Nigeria. American Journal Science on Integration and Human Development, 1(6), 1-12.

Ogunode, N. J., Edinoh, K., & Chinedu, O. R. (2023). Artificial intelligence and tertiary education management. Electronic Research Journal of Social Sciences and Humanities 5 (4), 18-31

Rudolph, J., Tan, S. & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363. DOI: https://doi.org/10.37074/jalt.2023.6.1.9

Ruth, M., Birke, A., & Kaspar, K. (2022). Teaching with digital games: How intentions to adopt digital game-based learning are related to personal characteristics of pre- service teachers. British Journal of Educational Technology, 53(5),1412–1429.

https://doi.org/10.1111/bjet.13201

Sanusi, I.T., Ayanwale, M.A., & Tolorunleke, A.E. (2024). Investigating pre-service teachers' artificial intelligence perception from the perspective of planned behavior theory. Comput e rs and Education: Artificial Int e lligenc e , 6, 1-15. DOI:

https://doi.org/10.1016/j.caeai.2024.100202

Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPTin higher education: Considerations for academic integrity and students' learning. Journal of Applied Learning & Teaching, 6(1), 31-40. DOI: https://doi.org/10.37074/jalt.2023.6.1.17

Tuomi, I. (2020). The use of Artificial Intelligence (AI) in education. https://doi.org/10.2760/12297.

Yin, R. K. (2018). Case study research and applications: Design and methods. Sage Publications.

Downloads

Published

2025-06-03

How to Cite

Perception and Utilization of Artificial Intelligence (AI) in Educational Assessment in Nigerian Higher Institutions of Learning. (2025). Journal of Innovations in Educational Assessment, 7(1), 79-99. https://doi.org/10.66545/v3qk9125

Similar Articles

11-20 of 22

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)