Perception and Utilization of Artificial Intelligence (AI) in Educational Assessment in Nigerian Higher Institutions of Learning
DOI:
https://doi.org/10.66545/v3qk9125Keywords:
Artificial intelligence, machine learning, perception, utilizationAbstract
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.