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Re-Educating for the Age of Artificial Intelligence: Human Capital Development, Digital Competence, and the Transformation of Education in Nigeria

Rosemary Nneoma Barnabas1, David Kumije2,*, Emmanuel Adejoh3

1 Faculty of Management Sciences Department of Public Administration, Federal University, Lokoja. PMB 1154 Nigeria

2 Faculty of Management Sciences Department of Public Administration, Prince Abubakar Audu University, Anyigba. PMB1008 Nigeria

3 Department of Public Administration, Salem University, Lokoja. PMB1060  Nigeria



STEM Education Review 2026, 4(1),1-13; https://doi.org/10.67229/stemer.26080023
Submitted07 Mar 2026
Revised11 Mar 2026
Accepted01 Jul 2026
Published02 Sept 2026
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Cite This Article
(2026). Re-Educating for the Age of Artificial Intelligence: Human Capital Development, Digital Competence, and the Transformation of Education in Nigeria. STEM Education Review , 4(1), stemer26080023. https://doi.org/10.67229/stemer.26080023
Abstract

Artificial intelligence (AI) is fundamentally altering the knowledge, skills, competencies, and learning arrangements required for participation in contemporary society. While previous educational systems were largely designed around the acquisition of relatively stable bodies of knowledge during the formative years of life, the rapid diffusion of AI and digital technologies has made continuous learning, reskilling and adaptation increasingly indispensable. This paper examines the imperative of re-educating Nigerians for the age of artificial intelligence, with particular emphasis on human capital development, digital competence and educational transformation. Drawing on Human Capital Theory, the Capability Approach and lifelong-learning perspectives, the paper argues that education should no longer be conceptualized merely as an initial investment in human capital but as a continuous mechanism for renewing human capability throughout the life course. The paper adopts a conceptual and integrative review approach, synthesizing recent international literature, Nigerian empirical studies, and national education and digital-policy documents. Evidence indicates that AI offers significant opportunities for personalized learning, adaptive instruction, teacher support, curriculum innovation, and expanded access to knowledge. However, Nigeria faces substantial constraints, including digital inequality, inadequate infrastructure, limited teacher preparedness, curriculum rigidity, affordability, ethical concerns, and weak institutional capacity. Recent Nigerian evidence demonstrates disparities in access to digital learning, emerging concerns about AI adoption among educators, and growing student interest in AI-supported adaptive learning. The paper proposes a Continuous AI-Ready Human Capital Development Framework (CAHDF) comprising digital access, AI-enabled pedagogy, teacher re-education, curriculum renewal, and lifelong learning. It argues that Nigeria’s educational competitiveness will depend not merely on acquiring AI technologies but on developing citizens capable of thinking critically, learning continuously, collaborating responsibly with AI, and converting knowledge into innovation and productivity.

REFERENCES

[1]  Becker G, 1964, Human Capital: A Theoretical and Empirical Analysis, With Special Reference to Education. Columbia University Press.

[2]  Schultz T, 1961, Investment in Human Capital. The American Economic Review, 51(1): 1–17.

[3]  Anfela, J. O. (2026). Artificial intelligence and teacher education in Nigeria in the 21st century: A review of transformations, challenges, and future pathways. Wonder Hands: A Journal of the School of Secondary Education (Vocational and Technical Education), 13(1), 80–90.

[4]  Azubuike O, Adegboye O, Quadri H, 2021, Who Gets to Learn in a Pandemic? Exploring the Digital Divide in Remote Learning During the COVID-19 Pandemic in Nigeria. International Journal of Educational Research Open, 2: 100022.

[5]  Ebohon O, Obienu A, Irabor F, et al., 2021, Evaluating the Impact of COVID-19 Pandemic Lockdown on Education in Nigeria: Insights from Teachers and Students on Virtual/Online Learning. Bulletin of the National Research Centre, 45: 76.

[6]  Zawacki-Richter O, Marín V, Bond M, et al., 2019, Systematic Review of Research on Artificial Intelligence Applications in Higher Education—Where Are the Educators? International Journal of Educational Technology in Higher Education, 16: 39.

[7]  OECD, 2026, Skills in the AI Age. OECD Artificial Intelligence Papers, No. 60. OECD Publishing.

[8]  UNESCO, 2025, AI and the Future of Education: Disruptions, Dilemmas and Directions.

[9]  World Bank, 2025, From Chalkboards to Chatbots: Transforming Learning in Nigeria, One Prompt at a Time. World Bank.

[10]  Bond M, Khosravi H, De Laat M, et al., 2024, A Meta-Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigor. International Journal of Educational Technology in Higher Education, 21: 4.

[11]  International Labor Organization, 2023, Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality. International Labor Office.

[12]  Eleje L, Ezeugo N, Esomonu N, et al., 2025, Artificial Intelligence Adoption in Higher Education in Nigeria. Discover Artificial Intelligence, 5: 335.

[13]  Federal Ministry of Education, 2025, Nigeria National EdTech Strategy 2025–2030. Federal Republic of Nigeria.

[14]  López Regalado O, Núñez-Rojas N, López Gil O, et al., 2024, Analysis of the Use of Artificial Intelligence in University Education: A Systematic Review. Pixel-Bit. Revista de Medios y Educación, 70: 97–122.

[15]  Tijani B, Adeduyigbe A, 2026, Students’ Perception of Artificial Intelligence in Achieving Adaptive Learning in Nigerian Universities. Discover Education, 5: 257.

[16]  Castillo-Martinez I, Flores-Bueno D, Gómez-Puente S, et al., 2024, AI in Higher Education: A Systematic Literature Review. Frontiers in Education, 9: 1391485.

[17]  Collin S, Lepage A, Nebel L, 2024, Ethical and Critical Issues of Artificial Intelligence in Education: A Systematic Review of the Literature. Canadian Journal of Learning and Technology.

[18]  Salas-Pilco S, Xiao K, Hu X, 2022, Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences, 12(8): 569.

[19]  National Information Technology Development Agency, 2023, National Digital Literacy Framework. Federal Republic of Nigeria.

[20]  Criscuolo C, Gal P, Freund L, 2024, Human Capital at Work: Five Facts About the Role of Skills for Firm Productivity, Growth, and Wage Inequality. OECD Productivity Working Papers, No. 36. OECD Publishi.

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