The evolving integration of Artificial Intelligence (AI) into education systems presents significant opportunities for transforming teacher education and strengthening national development outcomes. This paper examines the extent to which AI-enabled pedagogical practices in teacher education institutions contribute to human capital formation and national competitiveness. Guided by Human Capital Theory and the Diffusion of Innovation framework, the study conceptualizes AI integration as a systemic pedagogical shift that enhances competency development, instructional efficiency, and workforce preparedness. A cross-sectional survey design was employed, targeting teacher educators and pre-service teachers across institutions. Data were collected using a structured and validated questionnaire measuring AI adoption, pedagogical innovation, digital competency development, institutional readiness, and perceived national development outcomes. Descriptive statistics, correlation analysis, and multiple regression techniques were used to analyze the data. Findings suggests that AI-enabled instructional practices such as adaptive learning systems, AI-supported assessment, and intelligent content generation are positively associated with enhanced digital skills, critical thinking, and instructional effectiveness. AI integration significantly predicts perceived improvements in human capital quality and national competitiveness. However, infrastructural limitations, insufficient training, and policy inconsistencies moderate these effects. The study provides empirical evidence linking pedagogical transformation in teacher education to broader development objectives and underscores the need for strategic policy alignment and capacity-building to maximize the national benefits of AI integration.
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.