Research Article

Artificial Intelligence in Classroom Assessment in Nigerian Education

1 Department of Education Foundation, University of Education and Entrepreneurship, Akamkpa
2 Department of Computer Science Education, University of Education and Entrepreneurship Akamkpa
3 Department of Computer Science Education University of Education and Entrepreneurship, Akamkpa
* Corresponding author: clement.enunwah@uee-akamkpa.edu.ng
Published: Jul, 2026
Pages: 23-33
Views: 29
Downloads: 8

Abstract

This study investigated the application of Artificial Intelligence (AI) in classroom assessment within Nigerian tertiary educational institutions, focusing on its potentials to enhance feedback, promote academic integrity, and improve learning outcomes. The descriptive survey design was adopted, and data were collected from 500 randomly selected respondents across four tertiary institutions using a 20-item researcher-designed questionnaire. Chi-square statistical analysis was employed to test three null hypotheses. Findings revealed a statistically significant relationship between the use of AI technologies and the reduction of examination malpractice, as well as between AI-based assessment tools and the improvement of feedback quality. However, there was no significant association between infrastructure availability and AI readiness, indicating that infrastructure alone does not predict effective AI integration. These findings underscore the transformative potential of AI in promoting fair and efficient assessment practices but also highlight the need for teacher training, ethical safeguards, and strategic policy implementation. The study concludes that while AI holds promise for revolutionizing classroom assessment in Nigeria, its success depends on comprehensive institutional support, policy frameworks, and capacity building. Recommendations include increased investment in digital infrastructure, teacher professional development, and the formulation of clear guidelines to ensure ethical and effective deployment of AI tools in education.

References

  1. Adebayo, S. O. (2020). Examination malpractice in Nigerian schools: Causes, effects and solutions. African Journal of Educational Research, 24(2), 112–125.
  2. Adebayo, T. & Ojo, M. A. (2023). Enhancing feedback with artificial intelligence in Nigerian classrooms. International Journal of Educational Technology, 6(1), 45–58.
  3. Adetunji, A. (2022). AI for Education project shows promise in Lagos schools. Journal of Emerging Learning Technologies, 9(3), 33–41.
  4. Akinola, J. K., & Bello, T. O. (2023). Data privacy concerns in AI-based assessment systems: A Nigerian perspective. Journal of Digital Ethics in Education, 2(1), 55–67.
  5. Balfour, S. P. (2020). Automated essay scoring: A cross-disciplinary perspective. Assessing Writing, 44, 100-106.
  6. Bello, A. & Yusuf, L. (2023). Public-private partnerships for AI education in underserved Nigerian schools. Education and Information Technologies, 28(4), 5401–5416.
  7. Chukwuemeka, J., & Nwosu, C. (2022). Financial barriers to AI integration in public schools: Evidence from Nigeria. Contemporary Issues in Educational Finance, 15(1), 21–34.
  8. Eze, M. & Nwankwo, F. (2021). Facial recognition technologies and exam integrity in Nigerian universities. Journal of Applied Biometrics in Education, 4(2), 89–98.
  9. Eze, M., & Nwankwo, F. (2023). Bridging the AI literacy gap among Nigerian teachers. Nigerian Journal of Teacher Education, 7(1), 101–115.
  10. Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  11. Ibrahim, A., & Musa, D. (2023). Scaling AI solutions in large classrooms: A Nigerian pilot study. African Journal of Educational Technology, 5(1), 77–93.
  12. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2020). Intelligence unleashed: An argument for AI in education. Pearson Education.
  13. Nguyen, N. T., Huynh, V. N., & Le, T. N. (2021). AI and biometric authentication in online assessments. International Journal of E-Assessment, 3(2), 56–68.
  14. Nkwo, M. & Orji, R. (2021). Personalizing education with AI: Addressing learning diversity in Nigerian classrooms. IEEE Transactions on Learning Technologies, 14(2), 158–167.
  15. Ogunleye, M. O. & Adeyemi, B. (2021). AI implementation challenges in Nigerian classrooms. Journal of ICT in Education and Instruction, 12(4), 87–99.
  16. Ogunleye, M. (2021). Societal pressure and academic dishonesty in Nigerian schools. African Review of Educational Integrity, 11(2), 65–72.
  17. Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
  18. Zhou, M., Xu, Y., & Zhang, H. (2020). AI surveillance and academic integrity: Opportunities and risks. Journal of Learning Analytics and AI, 8(1), 22–36.
How to Cite

Enunwah, C. I., Igo, E. E., & Etta, O. V. (2026). Artificial Intelligence in Classroom Assessment in Nigerian Education. Uniuyo Journal of Computer and Education Related Studies, 1(1), 23-33. https://doi.org/10.54129/ujcers.2026.3w7tatc0

C. I. Enunwah, E. E. Igo, and O. V. Etta, "Artificial Intelligence in Classroom Assessment in Nigerian Education," Uniuyo Journal of Computer and Education Related Studies, vol. 1, no. 1, pp. 23-33, July 2026. doi: 10.54129/ujcers.2026.3w7tatc0

Share this article:
Facebook X / Twitter LinkedIn