Fostering AI literacy in TVET and professional development frameworks for educators in the 21st century

Abstract

This article highlights the importance of Technical and Vocational Education and Training (TVET) in preparing students for careers in AI- driven industries by outlining methods to enhance students' Artificial Intelligence (AI) literacy. The article finds major gaps in the current TVET curriculum, which do not adequately address the demands of vocational students by combining AI principles and practical applications. To address this issue, the authors suggest a curriculum design framework that incorporates AI literacy modules linked to employability skills to ensure their relevance and usefulness. To determine the long- term impact of AI literacy programs on job readiness, this chapter suggests looking at how well teacher training programs scale AI literacy projects and how creative AI technologies can improve learning outcomes. This article persuasively advocates for the integration of AI into vocational education, enabling students to acquire the necessary skills in a world where AI is becoming increasingly significant. © 2025, IGI Global Scientific Publishing. All rights reserved.

Keywords

Author Keywords

Not provided

Index Keywords

Teaching Professional aspects Curricula Engineering education Personnel training Apprentices Students 'current Curricula design professional development Technical and vocational education and trainings Employability skills Education curriculums Design frameworks Development frameworks Training curriculum Training development

Author Affiliations

Politécnico de Portalegre, Portalegre, Portalegre, Portugal, Centre for Comparative Studies, Universidade de Lisboa, Lisbon, Lisbon, Portugal

A’Sharqiyah University, Ibra, Ash Sharqiyah, Oman

Universiti Malaya, Kuala Lumpur, Malaysia

University of Kufa, Kufa, Najaf, Iraq

Funding & Acknowledgements

No funding information

References 10 References

1 Journal of Tvet and Technology Review, (2024)

2 Abulibdeh, Ammar O., Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions, Journal of Cleaner Production, 437, (2024)

3 Ahn, Yeonghwi, Effects of the International Training Program for Enhancing Intelligent Capabilities through Blended Learning on Computational Thinking, Artificial Intelligence Competencies, and Core Competencies for the Future Society in Graduate Students, Applied Sciences (Switzerland), 14, 3, (2024)

4 Akhtar, Mohammad Amir Khusru, Towards Ethical and Socially Responsible Explainable AI: Challenges and Opportunities, Studies in Systems, Decision and Control, 551, pp. 1-381, (2024)

5 Sustainable Development, (2024)

6 Al Yakin, Ahmad M., Enabling federated learning in the classroom: Sociotechnical ecosystem on artificial intelligence integration in educational practices, Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications, pp. 37-56, (2024)

7 Al Yakin, Ahmad M., The importance of collaboration between human intelligence and GenAI in digitalization of education, Impact and Potential of Machine Learning in the Metaverse, pp. 129-160, (2024)

8 Alawneh, Yousef Jaber Jamel, Adaptive Learning Systems: Revolutionizing Higher Education through AI-Driven Curricula, 2024 International Conference on Knowledge Engineering and Communication Systems, ICKECS 2024, (2024)

9 Ali, Rabea Fayez Faheim, Empowering educators integrating computational thinking, AI, and STEM: Fostering innovation through technology and education, Empowering STEM Educators With Digital Tools, pp. 29-58, (2024)

10 Allil, Kamaal, Integrating AI-driven marketing analytics techniques into the classroom: pedagogical strategies for enhancing student engagement and future business success, Journal of Marketing Analytics, 12, 2, pp. 142-168, (2024)

Fostering AI literacy in TVET and professional development frameworks for educators in the 21st century

How to Cite