IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH (IJSSMR )

E-ISSN 2545-5303
P-ISSN 2695-2203
VOL. 11 NO. 2 2025
DOI: 10.56201/ijssmr.vol.11no2.2025.pg.237.259

---

The Impact of Technology Policies on Education and Workforce Development in Nigeria

Jumai Ahmadu, Akorede Shittu, Oluwakemi Famoti, Godwin Nzeako, Ogechukwu, Nwanneka Ezechi, Chikezie PaulMikki Ewim, Hope Ehiaghe Omokhoa

---

Abstract

The concept paper examines the significant influence that government and institutional technology policies have on shaping the educational landscape and workforce development in Nigeria. This executive summary highlights the paper’s objectives, core insights, and anticipated outcomes, underscoring the critical role of effective technology policies in advancing Nigeria's socio-economic development. The primary objective of this paper is to assess how technology policies impact educational systems and workforce development in Nigeria. It emphasizes the need for strategic policy interventions to harness technological advancements for improving educational outcomes and preparing the workforce for future demands. The paper highlights how technology policies can bridge gaps in education, enhance learning opportunities, and better align workforce skills with industry requirements. Central to the paper is the analysis of various technology policies and their effects on education and workforce development. It reviews policies related to digital infrastructure, e-learning platforms, and vocational training programs. The paper discusses how these policies can facilitate access to quality education, promote digital literacy, and support skill development necessary for the evolving job market. It also examines the role of technology in improving educational resources and creating new opportunities for upskilling and reskilling the workforce. The concept paper integrates theoretical models such as the Technology Acceptance Model (TAM) and Human Capital Theory to understand the impact of technology on education and workforce development. It explores how these models can explain the adoption of educational technologies and the relationship between technology use and skill enhancement. The paper also highlights the importance of aligning technology policies with national development goals and industry needs. Addressing the practical challeng

---

References:

1. Adanyin, A. (2024). Ethical AI in retail: Consumer privacy and fairness. arXiv preprint
arXiv:2410.15369. ARXIV.ORG
Adanyin, A. (2024). AI-driven feedback loops in digital technologies: Psychological
impacts on user behaviour and well-being. arXiv preprint arXiv:2411.09706.
ARXIV.ORG
Adanyin, A. (2024). Data minimalism: Achieving more with less data – A UK
perspective. International Journal of Multidisciplinary Research and Growth
Evaluation, 5.
Adanyin, A. (2024). Rethinking Black Friday: How AI can drive 'small batch'
personalized deals. World Journal of Advanced Research and Reviews, 21(1), 2913–
Ajirotutu, R. O., Adeyemi, A. B., Ifechukwu, G. O., Iwuanyanwu, O., & Ohakawa, T.
C. (2024). Future cities and sustainable development: Integrating renewable energy,
advanced materials, and civil engineering for urban resilience. International Journal of
Sustainable Urban Development, 3.
Ajirotutu, R. O., Adeyemi, A. B., Ifechukwu, G. O., & Ohakawa, T. C. (2024).
Exploring the intersection of Building Information Modeling (BIM) and artificial
intelligence in modern infrastructure projects. Journal of Advanced Infrastructure
Studies, 2.
Ajirotutu, R. O., Adeyemi, A. B., Ifechukwu, G. O., Iwuanyanwu, O., & Ohakawa, T.
C. (2024). Designing policy frameworks for the future: Conceptualizing the integration
of green infrastructure into urban development. Journal of Urban Development Studies,
Ajirotutu, R. O., Matthew, B., Garba, P., & Johnson, S. O. (2024). AI-driven risk
mitigation: Transforming project management in construction and infrastructure
development. World Journal of Advanced Engineering Technology and Sciences,
13(02).
Ajirotutu, R. O., Matthew, B., Garba, P., & Johnson, S. O. (2024). Advancing lean
construction through Artificial Intelligence: Enhancing efficiency and sustainability in
project management. World Journal of Advanced Engineering Technology and
Sciences, 13(02).
Akinbolaji, T. J., Nzeako, G., Akokodaripon, D., & Aderoju, A. V. (2024). Proactive
monitoring and security in cloud infrastructure: Leveraging tools like Prometheus,
Grafana, and HashiCorp Vault for robust DevOps practices. World Journal of Advanced
Engineering Technology and Sciences, 13(2), 90-104.
Akinbolaji, T. J., Nzeako, G., Akokodaripon, D., & Aderoju, A. V. (2023). Enhancing
fault tolerance and scalability in multi-region Kafka clusters for high-demand cloud
platforms. World Journal of Advanced Research and Reviews, 18(1), 1248-1262.
Akpukorji, I. S., Nzeako, G., & Akinsanya, M. O. (2024). Theoretical frameworks for
regulatory compliance in fintech innovation: A comparative analysis of Africa and the
United States. Finance & Accounting Research Journal, 6(5), 721-730.
Adebayo, O. O., Adetunji, A. A., & Saka, A. K. (2021). Impact of ICT policies on
education in Nigeria: A systematic review. Journal of Information Technology
Education: Research, 20, 101-120. doi:10.28945/4718
Adegbite, O., & Olamide, T. (2022). Examining the efficacy of technology policies in
Nigeria's education sector. Journal of Policy and Development Studies, 16(2), 123-138.
Ade-Ibijola, A., & Okonkwo, C. (2023). Artificial intelligence in Africa: Emerging
challenges. In Responsible AI in Africa: Challenges and Opportunities (pp. 101-117).
Cham: Springer International Publishing.
Aderibigbe, A. O., Ohenhen, P. E., Nwaobia, N. K., Gidiagba, J. O., & Ani, E. C. (2023).
Artificial intelligence in developing countries: bridging the gap between potential and
implementation. Computer Science & IT Research Journal, 4(3), 185-199.
Adewusi, A. O., Okoli, U. I., Adaga, E., Olorunsogo, T., Asuzu, O. F., & Daraojimba,
D. O. (2024). Business intelligence in the era of big data: a review of analytical tools
and competitive advantage. Computer Science & IT Research Journal, 5(2), 415-431.
Adigwe, C. S., Olaniyi, O. O., Olabanji, S. O., Okunleye, O. J., Mayeke, N. R., & Ajayi,
S. A. (2024). Forecasting the future: The interplay of artificial intelligence, innovation,
and competitiveness and its effect on the global economy. Asian journal of economics,
business and accounting, 24(4), 126-146.
Adomi, E. E., & Kpangban, E. (2010). Application of ICTs in Nigerian secondary
schools. Library Philosophy and Practice, 1.
Agba, M. S., Agba, G. E. M., & Obeten, A. W. (2023). Artificial intelligence and public
management and governance in developed and developing market economies. Journal
of Public Administration, Policy and Governance Research, 1(2), 1-14.
Ahlborg, H., Ruiz-Mercado, I., Molander, S., & Masera, O. (2019). Bringing
technology into social-ecological systems research—motivations for a socio-technical-
ecological systems approach. Sustainability, 11(7), 2009.
Akinbode, M. A. (2020). The role of technology in Nigerian educational policy
implementation.
Educational
Policy
Analysis
Archives,
28,
doi:10.14507/epaa.28.4711
Akinyemi, S., & Abiddin, N. Z. (2013). Human capital developments in Nigeria: The
role of higher education. Journal of Educational and Social Research, 3(1), 29-36.
Akinyemi, S., Ojo, J., & Olaniyan, A. (2020). The role of technological infrastructure
in educational development in Nigeria. African Journal of Educational Management,
12(3), 45-60.
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-Powered Innovation in
Digital Transformation: Key Pillars and Industry Impact. Sustainability, 16(5), 1790.
Appio, F. P., Lima, M., & Paroutis, S. (2019). Understanding Smart Cities: Innovation
ecosystems, technological advancements, and societal challenges. Technological
Forecasting and Social Change, 142, 1-14.
Arakpogun, E. O., Elsahn, Z., Olan, F., & Elsahn, F. (2021). Artificial intelligence in
Africa: Challenges and opportunities. The fourth industrial revolution: Implementation
of artificial intelligence for growing business success, 375-388.
Ashaye, O. R., & Irani, Z. (2019). The role of stakeholders in the effective use of e-
government resources in public services. International Journal of Information
Management, 49, 253-270.
Butt, J. (2024). The Role of Artificial Intelligence (AI) in Productivity & Economic
Growth in Nordic Welfare States. Acta Universitatis Danubius. Œconomica, 20(2), 50-
Chikezie, E., Ogbuagu, I., & Eze, I. (2023). Financial challenges in technology adoption
for education in Nigeria: An empirical analysis. International Journal of Education
Economics and Development, 14(1), 98-115.
Ebulue, C. C., Ebulue, O. R., & Ekesiobi, C. S. (2024). Public-Private Partnerships In
Health Sector Innovation: Lessons From Around The World. International Medical
Science Research Journal, 4(4), 484-499.
Elegunde, A. F., & Osagie, R. (2020). Artificial intelligence adoption and employee
performance in the Nigerian banking industry. International Journal of Management
and Administration, 4(8), 189-205.
Ezeani, E. (2022). Bridging the skills gap in Nigeria's workforce: The role of
technology policies. Journal of Vocational Education & Training, 74(1), 44-59.
doi:10.1080/13636820.2021.1999397
Fairman, J. C., Smith, D. J., Pullen, P. C., & Lebel, S. J. (2022). The challenge of
keeping teacher professional development relevant. In Leadership for Professional
Learning (pp. 251-263). Routledge.
Federal Ministry of Communication Technology. (2012). National ICT policy.
https://www.commtech.gov.ng/Doc/NATIONAL_ICT_POLICY.pdf
Fromhold-Eisebith, M., & Eisebith, G. (2019). What can Smart City policies in
emerging economies actually achieve? Conceptual considerations and empirical
insights from India. World Development, 123, 104614.
Gabriel, O. T. (2023). Data privacy and ethical issues in collecting health care data
using artificial intelligence among health workers (Master's thesis, Center for Bioethics
and Research).
Garba, B. M. P., Umar, M. O., Umana, A. U., Olu, J. S., & Ologun, A. (2024). Energy
efficie

DOWNLOAD PDF

---

Back