Exploring the Integration of Artificial Intelligence in Technical and Vocational Education and Training (TVET): Applications, Benefits, Challenges, and Future Prospects

Abstract

Artificial intelligence (AI) can potentially revolutionise Technical and Vocational Education and Training (TVET) by providing innovative solutions for personalised learning and efficient administrative processes. Integrating AI in TVET can enhance instructional methods and offer immersive, hands-on training experiences that closely replicate real-world scenarios, ensuring students are better prepared for modern workforce demands. This systematic literature review investigates the integration of AI in TVET through the PRISMA methodology, aiming to identify current AI applications, evaluate the benefits, analyse the challenges, and explore future prospects. Findings reveal that AI technologies, such as Intelligent Tutoring Systems and adaptive learning platforms, are increasingly used to provide personalised learning experiences and simulate real-world training scenarios. The benefits of AI in TVET include enhanced engagement, improved efficiency in administrative tasks, and data-driven insights for educators. However, the integration of AI faces significant challenges, including high implementation costs, insufficient infrastructure, and ethical concerns related to data privacy and algorithmic bias. The study concludes that while AI holds substantial promise for revolutionising TVET, addressing these challenges is crucial for its successful adoption. Future research should focus on developing cost-effective AI solutions, improving infrastructure, and ensuring ethical implementation to fully realise the potential of AI in enhancing TVET.