Artificial Intelligence in Advancing Qualitative Education, Technology and Innovation for Sustainable National Development
DOI:
https://doi.org/10.47672/ejt.2843Keywords:
Artificial Intelligence (O33), Education (I25), Technology (O30, O32), Innovations (O32), Framework (O32).Abstract
Purpose: The paper aims to examine the role of Artificial Intelligence (AI) as a driving force in transforming qualitative education, fostering innovation, and accelerating technological development globally. It seeks to highlight how AI facilitates technology transfer and promotes sustainable development across multiple sectors, including education, healthcare, agriculture, and governance.
Materials and Methods: The study adopts a descriptive and analytical approach, drawing from secondary data sources and contemporary examples of AI applications. It reviews existing literature and policy frameworks to assess how AI-driven data analytics supports decision-making and strategic planning among key stakeholders such as government bodies, educational institutions, and healthcare providers.
Findings: The paper finds that AI significantly enhances the capacity of institutions to identify emerging trends and respond rapidly to societal and technological changes. It underscores AI’s applicability in: Education, Agriculture, Healthcare and Governance. The study acknowledges that risks such as bias and ethical challenges persist despite all its benefits. However, ongoing strategies and frameworks are mitigating these limitations to ensure AI’s sustainable integration into national development agendas.
Unique Contribution to Theory, Practice, and Policy: The paper contributes to understanding AI as not just a technological tool but a transformative agent in socio-economic and educational evolution. It also provides a practical perspective on how institutions can leverage AI-driven analytics to enhance efficiency, innovation, and service delivery across multiple sectors. The paper also emphasizes the need for adaptive frameworks and ethical guidelines that ensure responsible AI adoption, supporting data-informed governance and sustainable national development.
Downloads
References
[1] Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
[2] UNESCO. (2021). AI and Education: Guidance for Policy-makers. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000376709
[3] Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., … & Nerini, F. F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233.
[4] Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.
[5] Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
[6] Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.
[7] UNESCO. (2020). Education for Sustainable Development: A Roadmap. https://unesdoc.unesco.org/ark:/48223/pf0000374802
[8] Becker, G. S. (1964). Human Capital: A Theoretical and Empirical Analysis.
[9] Sachs, J. D. (2015). The Age of Sustainable Development.
[10] Lundvall, B. Å. (1992). National Systems of Innovation.
[11] Kamilaris, A., Prenafeta-Boldú, F.X. (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture, 147, 70-90.
[12] World Bank. (2020). World Development Report: Trading for Development in the Age of Global Value Chains. https://www.worldbank.org/
[13] World Bank. (2020). Innovation, Technology, and Industry Report. https://www.worldbank.org/
[14] OECD. (2021). AI in the Public Sector. https://www.oecd.org/
[15] Iweuno, B., Orekha, P., Ojediran, O., Imohimi, E., Adutwum, H. (2020). Leveraging Artificial Intelligence for an inclusive and diversified curriculum. https://doi.org/10.30574/wjarr.2024.23.2.2440
[16] OECD. (2021). AI and the Future of Skills. https://www.oecd.org/
[17] Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
[18] Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.
[19] Arner, D. W., Barberis, J., & Buckley, R. P. (2016). The evolution of Fintech: A new post crisis paradigm? Georgetown Journal of International Law, 47(4), 1271–1319.
[20] Rolnick, D. et al. (2019). Tackling climate change with machine learning. arXiv preprint arXiv:1906.05433.
[21] Cui, W., Xue, Z., & Thai, K.-P. (2019). Performance comparison of an AI-based Adaptive Learning System in China. arXiv.
[22] Eze, S. C., & Chibuzo, C. O. (2021). “Smart Agriculture Adoption in Nigeria: Opportunities and Challenges.” African Journal of Science, Technology, Innovation and Development, 13(7), 855–864.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ogunlade Ibiyinka, Ola-Kadri Anjolaoluwa, Ogunlade Oluwatosin
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
