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Repositioning Artificial Intelligence as a Core Enabler of Educational and Entrepreneurial Ecosystems in Nigeria Adelakun, Najeem Olawale; Mande, Samaila
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

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Abstract

This study investigates Artificial Intelligence (AI) as a catalyst for integrating Nigeria’s educational and entrepreneurial ecosystems to mitigate engineering graduate unemployment. Employing a structured questionnaire, primary and secondary data were collected to evaluate AI's impact on entrepreneurial clusters, enabling environments, and workforce retention. Findings reveal that AI significantly enhances employability by identifying skill gaps and fostering mentorship. Furthermore, within entrepreneurial ecosystems, AI improves opportunity recognition, resource optimization, and cluster-based innovation. The discussion highlights that AI-driven retention strategies effectively minimize skills attrition by embedding graduates within adaptive, locally relevant enterprises. In conclusion, integrating AI into academic curricula and ecosystem policy frameworks is an urgent strategic imperative to unlock human capital, reduce unemployment, and foster sustainable economic growth in Nigeria.
Integrating Artificial Intelligence into Entrepreneurship Education for Engineering Graduates in Nigeria Adelakun, Najeem Olawale; Mande, Samaila
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 6 No. 1 (2026): March 2026
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v6i1.297

Abstract

Artificial Intelligence (AI) is rapidly transforming the world of education, innovation and entrepreneurship; in the field of engineering education, AI has become an accelerator and a mediator - helping eliminate the divide between theory and practice, as well as between academic knowledge and that which is applicable in industry. The study examines the possibility of artificial intelligence integration in order to expand entrepreneurial skill, human capital, and innovation systems within Nigerian tertiary institutions. The study explores the effect of cluster formation, enabling environments, workforce retention, and AI adoption on entrepreneurial performance through a mixed-method approach, where quantitative data reveal that AI-enriched learning environments and the use of AI-enhanced learning environments have a strong positive relationship with entrepreneurial performance, and qualitative information indicates that intelligent systems are enabling factors influencing entrepreneurial performance in terms of creativity, employability, and collaboration. The results of the study show that AI-based entrepreneurship education can increase the application of practical problem-solving, intelligent mentoring, and data-based policy design of sustainable development. The research concludes that implementing AI in engineering programs has the potential to revolutionize Nigeria human capital base by eliminating skills shortages and enhancing the growth of an innovation-driven economy.