Attah Emmanuel Ojoma,
- Lecturer, Department of General Studies in Education, Ave – Maria University, Piyanko, Nasarawa State, Nigeria
Abstract
Educational systems in Nigeria face a persistent challenge in delivering high-quality, timely, and personalized feedback, due primarily to large class sizes, heavy teacher workloads, and reliance on traditional assessment methods. This study investigates the potential of integrating Artificial Intelligence (AI)-powered assessment tools to overcome these systemic barriers and improve the quality of educational feedback within the Nigerian secondary school context. Employing a quantitative cross-sectional survey design, data was collected from teachers and students across three geopolitical zones. Statistical analyses, including regression modeling, were used to test the influence of AI tools on feedback quality and student outcomes. The findings strongly indicate that AI-driven automated grading significantly enhances the timeliness of feedback, allowing students to correct misconceptions while the learning experience is still fresh. Moreover, the use of AI diagnostic reports was found to be highly effective in increasing feedback specificity and personalization. Crucially, the study confirms that teacher training and digital literacy play a vital moderating role, significantly amplifying the positive effect of AI tools on student engagement and performance. The results affirm AI’s transformative potential for secondary education in Nigeria, underscoring the need for policy that prioritizes teacher capacity building alongside technological adoption to ensure equitable and effective implementation.
Keywords: Artificial intelligence (AI), assessment tools, educational feedback, Nigeria, teacher training
[This article belongs to International Journal of Education Sciences ]
Attah Emmanuel Ojoma. The Role of AI-Powered Assessment Tools in Improving Educational Feedback in Nigeria. International Journal of Education Sciences. 2026; 03(01):31-41.
Attah Emmanuel Ojoma. The Role of AI-Powered Assessment Tools in Improving Educational Feedback in Nigeria. International Journal of Education Sciences. 2026; 03(01):31-41. Available from: https://journals.stmjournals.com/ijes/article=2026/view=239273
References
- Adayilo DM, Oyefolahan IO. AI-Powered Tutoring Systems for Personalized Learning Feedback in Developing Secondary Education Contexts. In: Editor, editor. Journal of Future Artificial Intelligence and Technologies. 1st edition. Abuja, Nigeria: FutureTech Publishing; 2026. pp. 549–564.
- Akinniranye OI. Assessing the awareness and adoption of AI-based instructional tools among teachers in public secondary schools. In: CAS Journals, editor. Educational Communications Journal. 1st edition. Akure, Nigeria: CAS Publishing; 2025. pp. 89–102.
- Akobe OD, Adeboye FL, Dauda BA, Yacim H. Improving Library and Information Science Education in Nigeria. In: IGI Global, editor. Using AI Tools in Text Analysis, Simplification, Classification, and Synthesis. 1st edition. Hershey, USA: IGI Global Scientific Publishing; 2025. pp. 375–408.
- Creswell JW, Creswell JD. Research design: Qualitative, quantitative, and mixed methods approaches. In: Sage, editor. Research Methodology. 1st edition. London, UK: Sage Publications; 2018. pp. 40–40.
- Manir H, Gwandu FF. Application of Artificial Intelligence in Enhancing Inclusive Education in Nigeria. In: JCREAM, editor. Journal of Contemporary Research in Educational Administration and Management. 1st edition. Lagos, Nigeria: JCREAM Publishing; 2025. pp. 52–61.
- Eke EO. Assessing the readiness and attitudes of Nigerian teacher educators towards adoption of artificial intelligence. In: ICETOL, editor. Journal of Educational Technology and Online Learning. 1st edition. Ankara, Turkey: ERIC; 2024. pp. 473–487.
- Hattie J, Timperley H. The power of feedback. In: Sage, editor. Review of Educational Research. 1st edition. Thousand Oaks, USA: Sage Publications; 2007. pp. 81–112.
- National Artificial Intelligence Strategy (NAIS). In: NCAIR, editor. Policy Documents. 1st edition. Abuja, Nigeria: National Centre for Artificial Intelligence and Robotics; 2024. pp. 1–25.
- Ndubueze MO, Iyoke JO. Trends in Educational Evaluations in Nigeria. In: IISTE, editor. Journal of Education and Practice. 1st edition. New York, USA: IISTE Publishing; 2015. pp. 71–76.
- National Artificial Intelligence Strategy. In: NITDA, editor. Educational Frameworks. 1st edition. Abuja, Nigeria: NITDA; 2024. pp. 3–101.
- Obidiebube JI. Prospects and challenges of AI integration into Nigerian educational systems. In: Cambridge Research, editor. International Journal of Library Science and Educational Research. 1st edition. Lagos, Nigeria: Cambridge Research Publications; 2025. pp. 194–214.
- Obilor EI. Artificial Intelligence and the Future of Educational Assessment in Nigeria. In: ARC, editor. African Research Council Journals. 1st edition. Port Harcourt, Nigeria: ARCN Journals; 2025. pp. 78–93.
- Ogunleye A, Afolabi O. Prospects of Interfacing Emerging Digital Economy with Artificial Intelligence. In: NITDA, editor. International Journal of Digital Innovation. 1st edition. Abuja, Nigeria: NITDA; 2025. pp. 118–136.
- Njoku C, Wey-Amaewhule B. Integration of Artificial Intelligence Driven Assessment Tools. In: RSU, editor. International Journal of Educational Management. 1st edition. Port Harcourt, Nigeria: Rivers State University; 2025. pp. 1–6.
- Okon EN, Williams DU. Regional Implementation of the UN Global Counter Terrorism Strategy. In: Austral, editor. Brazilian Journal of Strategy & International Relations. 1st edition. Porto Alegre, Brazil: Austral; 2021. pp. 250–282.
- Ucheagwu-Okoye OM. The Role of Artificial Intelligence (AI) in Student Assessment. In: Unizik, editor. Journal of Educational Laws and Leadership Studies. 1st edition. Awka, Nigeria: Unilaws Publishing; 2025. pp. 32–45.
International Journal of Education Sciences
| Volume | 03 |
| Issue | 01 |
| Received | 11/02/2026 |
| Accepted | 23/02/2026 |
| Published | 26/02/2026 |
| Publication Time | 15 Days |
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