Artificial Intelligence for Vocational & Skill Education

Authors

  • R. D. Patidar O.P. Jindal University, Chhattisgarh (INDIA)
  • Vanshika Jain Zakir Husain Delhi College, Delhi (INDIA) , University of Delhi image/svg+xml
  • Jitendra Jha Maa Vindhyavashini College of Education, Jharkhand (INDIA)

DOI:

https://doi.org/10.62431/jvevax02

Keywords:

Vocational, Skill-based education, Technical expertise, AI-Driven Simulations, Virtual Labs, Employer Integration

Abstract

Vocational and skill-based education is central to workforce development, as it equips learners with practical competencies, technical expertise, and employability skills aligned with specific industries. In the context of rapid technological advancement, globalization, and shifting labor market demands, traditional vocational training models face challenges related to scalability, consistency, safety, and alignment with emerging industry needs. Artificial Intelligence (AI) has emerged as a transformative force capable of redefining vocational and skill education by enhancing personalization, efficiency, and relevance.
This chapter explores the role of AI in vocational and skill-based education, highlighting its capacity to deliver adaptive and learner-centered training experiences. AI-powered systems enable personalized learning pathways by analyzing real-time performance data and tailoring instructional content to individual learners’ strengths and gaps. Immersive technologies such as AI-driven virtual and augmented reality simulations provide safe, cost-effective environments for hands-on practice in high-risk or resource-intensive trades. Additionally, AI-based assessment tools offer objective, continuous feedback on skill performance, improving accuracy, safety compliance, and mastery.
The chapter also examines how AI supports curriculum alignment with industry demands through data-driven labor market analysis, ensuring that vocational programs remain current and employment-focused. Beyond technical training, AI facilitates the development of soft skills, professional competencies, and lifelong learning pathways essential for sustained employability in dynamic work environments. While acknowledging challenges related to infrastructure, cost, educator readiness, and ethical considerations, the chapter concludes that AI holds significant promise in bridging the gap between education and industry. By fostering adaptable, skilled, and future-ready professionals, AI has the potential to reshape vocational and skill education as a cornerstone of sustainable economic and workforce development.

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Published

2025-12-19

How to Cite

Artificial Intelligence for Vocational & Skill Education. (2025). IARS’ Knowledge Planet, 979-8-25-326897-1. https://doi.org/10.62431/jvevax02

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