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Cited by 19Artificial Intelligence in EducationAcademic integrity and plagiarismArtificial Intelligence in Healthcare and Education

Redefining student assessment in Nigerian tertiary institutions: The impact of AI technologies on academic performance and developing countermeasures

Open access
Abubakar, Usman, Falade, Ayotunde Atanda, Ibrahim, Hussaini Aliyu·2024·Advances in Mobile Learning Educational Research
DOI 10.25082/amler.2024.02.009
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Abstract

Integrating artificial AI technologies in education has revolutionised teaching, learning, and assessment worldwide. In Nigerian tertiary institutions, students increasingly rely on AI tools for assignments, research, and exam preparation, raising concerns about the integrity of traditional assessment methods. This paper explores the impact of AI technologies on academic performance and the challenges they pose to accurately evaluating student capabilities. It argues for the urgent need to redefine assessment strategies in Nigerian higher education to preserve academic standards while harnessing the benefits of AI. The study highlights ethical concerns such as data privacy, access inequality, and over-reliance on AI tools, which can undermine critical thinking skills. It provides countermeasures and policy recommendations, including establishing AI usage guidelines, promoting equitable access to technology, and integrating assessments that prioritise critical thinking and problem-solving skills. By adopting these innovative policies, Nigerian tertiary institutions can enhance the quality of education and ensure that students develop genuine skills and academic excellence. This paper calls for immediate action to align education with the realities of the AI age, ensuring sustainable and authentic student outcomes.

Integrity signals

Registry

Crossref · 10.25082/amler.2024.02.009

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Abimbola, C., Eden, C. A., Chisom, O. N., & Adeniyi, I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. https://www.semanticscholar.org
  2. Ogunode, N. J., Idoko, G., & Peter, T. (2024). Artificial Intelligence and Implementation of Educational Administration and Planning Programme in Nigerian Tertiary Institutions. International Journal of Academic Integrity and Curriculum Development, 1(1), 41-47.
  3. Okoye, N. S., Uchenna, T. U., & Okechukwu, I. E. (2023). Addressing digital technology gap challenges: The Nigerian experience. NG Journal of Social Development, 11(1), 95-100.
  4. Sajja, R., Sermet, Y., Cwiertny, D., & Demir, I. (2023). Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalised Interventions in Education. arXiv preprint arXiv:2312.09548. · arXiv
  5. Smith, J., & Brown, A. (2020). Securing data with encryption: A comprehensive guide. International Journal of Computer Networks & Communications Security, 12(3), 45–58. https://doi.org/10.1109/IJCNIS.2020.1234567 · DOI

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Authors
Abubakar, U., Falade, A. A., & Ibrahim, H. A.
Affiliations
  • Federal College of Education Gidan Madi (NG)
  • University of Ilorin (NG)
  • Achieving Health Nigeria Initiative (NG)
Corresponding author
Abubakar, Usman
ORCID
Venue
Advances in Mobile Learning Educational Research
Publisher
Syncsci Publishing Pte., Ltd.
Published
2024-11-06
Volume
4
Issue
2
Pages
1149-1159
ISSN
2737-5676 (ISSN-L)
DOI
10.25082/amler.2024.02.009
OpenAlex
W4404060353
Cited by
19
References
51
Citations by year
2026: 14 · 2025: 4 · 2024: 1
FWCI
7.17
Type
journal article
Language
en
Open access
Licence
Locations
Advances in Mobile Learning Educational Research (publishedVersion, cc-by-nc)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
artificial intelligence in education, student assessment, academic integrity, academic performance, Nigerian tertiary institutions, higher education, data privacy, access inequality, critical thinking, assessment policy

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