Leveraging AI to Transform Rail Higher Education: Opportunities, Challenges, and the Path Forward

Abstract

The rapid digital transformation, an ageing workforce, and persistent skills shortages in rail industry has highlighted the need for railway higher education program that remains relevant and aligned with industry requirement. This paper explores the integration of Artificial Intelligence (AI) in higher education, specifically within the context of rail education. This paper proposes developing an evaluation tool for railway program curricula that integrates AI-driven methodologies. Employing data-driven analytics and predictive modelling, the tool will examine curriculum relevance, skills coverage, and the integration of emerging technologies. These results will underscore the potential of AI to revolutionise curriculum design and evaluation, bridging the gap between academic training and industry demands. This study provides significant implications for educators, policymakers, and industry stakeholders, offering a methodology to foster innovation, collaboration, and adaptability in railway education.