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Enhancing Graduate Employability With AI in Transnational Higher Education
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Author(s): Mohammed A. Alzubaidi (King Abdulaziz University, Saudi Arabia)and Usman Khalid (Elizabeth School of London, UK)
Copyright: 2025
Pages: 24
Source title:
Bridging Global Divides for Transnational Higher Education in the AI Era
Source Author(s)/Editor(s): Fawad Naseer (Beaconhouse International College, Pakistan), Cheryl Yu (Jimmy Choo Academy, UK), Rhytheema Dulloo (Hindustan Institute of Technology and Science, India), Munshi Muhammad Abdul Kader Jilani (Bangladesh Institute of Governance and Management, University of Dhaka, Bangladesh)and Momina Shaheen (University of Roehampton, UK)
DOI: 10.4018/979-8-3693-7016-2.ch017
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Abstract
The study explores the impact of artificial intelligence (AI) on graduate employability within transnational higher education (TNHE). The findings demonstrate significant improvements in employment rates, with institutions such as the University of Nottingham Malaysia and RMIT University Vietnam reporting higher employment rates among graduates who utilised AI-based career services compared to those who did not. AI-driven platforms have enhanced student satisfaction, with approximately 85% of students acknowledging that AI tools helped them develop industry-relevant skills, thereby increasing their job readiness. Furthermore, AI has played a crucial role in aligning TNE curricula with industry needs, as evidenced by the successful integration of AI tools at Singapore Management University and the American University of Sharjah to tailor programs that meet employer demands. Despite these benefits, challenges such as inclusivity and ethical considerations persist, emphasising the need for continuous evaluation and improvement of AI systems in educational settings.
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