IMPACT OF ARTIFICIAL INTELLIGENCE (AI) IN TRANSFORMING OF INDUSTRIAL TECHNOLOGY EDUCATION IN NIGERIA

IMPACT OF ARTIFICIAL INTELLIGENCE (AI) IN TRANSFORMING OF INDUSTRIAL TECHNOLOGY EDUCATION IN NIGERIA

Abstract: The importance of AI in education cannot be over-emphasized owing to its ability to enhance and positively impact teaching and learning in the 21stcentury. It has digitally transformed learning experiences among Nigerian students especially students of industrial technology education. AI, understood as the capability of computer systems to perform tasks that typically require human intelligence such as learning, reasoning, and decision-making, has emerged as a transformative tool across various sectors, including education. Within the Nigerian educational context, AI-driven technologies-such as machine learning, natural language processing, and intelligent tutoring system-are increasingly being utilized to enhance personalized learning, improve teaching efficiency, and facilitate data-driven decision-making. The study situates these developments within the broader concept of education as a continuous process that promotes knowledge acquisition, skill development, and societal advancement. Key roles of AI identified in the study include personalized instruction, automation of administrative tasks, improved student engagement, and the use of predictive analytics to enhance academic performance. While acknowledging challenges such as infrastructural deficits, limited digital literacy, and policy gaps in Nigeria, the study emphasizes that strategic implementation and adequate support systems are essential for maximizing AI’s impact. The study concludes that as Nigeria continues to embrace technological advancement, a balanced and strategic approach to AI adoption will be essential to ensure that its benefits are maximized while minimizing its potential risks.
Keywords: Artificial Intelligence, Education and Industrial Technology Education,

Volume12
Issue1
PublishedSeptember 2, 2026
Author(s)I. E. Dimkpa, A. V. Mkinebari & C. N. Ogbowu
ISSN (Print)2645-2839
eISSN (Online)2645-2847
File Size388.1 KB
Downloads20

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