Artificial Intelligence in the Development Of Education Industry 4.0: A Systematic Review

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Authors: Manjushree Nayak, Shweta Patel, Awotude Joseph Bamidele
Cited by: 0

Abstract

The emergence of Industry 4.0 has significantly transformed the global education landscape through the integration of cutting-edge technologies, particularly Artificial Intelligence (AI). This systematic review explores the role of AI in reshaping educational paradigms, enhancing teaching and learning experiences, and promoting adaptive, personalized education in the era of Industry 4.0. By analyzing a comprehensive range of peer-reviewed articles, conference papers, and case studies published between 2015 and 2024, this study categorizes AI applications in education into key domains such as intelligent tutoring systems, predictive analytics, automated assessment, and learning management systems. The review also investigates the opportunities and challenges of adopting AI in educational institutions, focusing on pedagogical implications, digital equity, ethical considerations, and workforce readiness. The findings indicate that AI-driven education fosters innovation, improves learner engagement, and prepares students for the demands of a digital economy. However, infrastructure support, teacher training, and strategic policy frameworks are necessary to realise the full potential of AI integration. The final section of this chapter review highlights potential avenues for future research and policy recommendations for the long-term, Industry 4.0-aligned integration of AI in education.

Fields of Study & Subjects

Artificial Intelligence in Education Educational Technology and Pedagogy Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
CRC Press eBooks
Pages
20–35
Publication date
13 March 2026
Language
EN
Document type
Book chapter