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Research Article

Artificial Intelligence, Gateway for Educational Attainment and National Development

Authors
AE
Anyanwu-Amunde, Emelda Ada (Ph.D)

AJ
Abushieye John Frederick

OA
Okeke Augustina Chikamunele

Abstract

Artificial Intelligence (AI) has emerged as a transformative force with the potential to accelerate
progress toward the educational achievement and national development. This paper explores the role
of artificial intelligence in addressing educational challenges such as digital divide, data security,
data mechanism, financial resources, economic inequalities and infrastructural challenges. By
enabling data-driving decision making optimizing resource use, and fostering innovation, Artificial
Intelligence contributes to national development across diverse sectors. However, the deployment of
AI also raises significant ethical, social, and governance concerns, including risks of bias, privacy
violations, and inequality, which must be addressed through inclusive and responsible frameworks.
The paper highlights key Artificial Intelligence technologies relevant to the achievement of national
development, their applications, and ongoing global initiatives aimed at promoting ethical AI
governance. It concludes with recommendations to ensure AI's equitable and effective integration
into educational attainment and national development efforts, emphasizing the importance of
collaboration, transparency, and cultural sensitivity to harness AI's full potential for the global good.

Keywords
Artificial Intelligence National Development Gateway Technology Relevance

Received: January 2026    Accepted: March 2026    Published: May 2026

Journal: The Nigerian Educator Journal of Education    ISSN: 699-3-7

Copyright: © 2026 The Authors. Published under Creative Commons Attribution (CC BY 4.0) licence.

How to Cite
Anyanwu-Amunde, E. A. (., & Frederick, A. J., & Chikamunele, O. A. (2026). Artificial intelligence, gateway for educational attainment and national development. The Nigerian Educator Journal of Education, 13(3), 35–42.
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