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Transforming Vocational Education through LLM Innovations
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Author(s): Madhu Chavva (CloudPac Inc., USA)
Copyright: 2025
Pages: 18
Source title:
Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
Source Author(s)/Editor(s): Ali Sorayyaei Azar (University of Malaya, Malaysia), Shashi Kant Gupta (Eudoxia Research University, USA), Hamed Taherdoost (Department of Arts, University Canada West, Canada & GUS Institute, Global University Systems, UK & College of Technology and Engineering, Westcliff University, USA & Gisma University of Applied Sciences, Germany & Q Minded, Quark Minded Technology, Canada & Research and Development Department, Hamta Business Corporation, Canada)and Fahima Alhamaty (Harvard Business Review, Kuwait)
DOI: 10.4018/979-8-3373-1142-5.ch010
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Abstract
The rapid advancement of Large Language Models (LLMs) has the potential to revolutionize vocational education by enhancing learning experiences, improving accessibility, and providing personalized instruction at scale. This chapter explores how LLM innovations are transforming vocational education, particularly in the context of skill development, training, and certification processes. By leveraging LLMs, vocational education programs can offer adaptive learning platforms, real-time feedback, and intelligent tutoring systems that cater to diverse learner needs. The chapter delves into the integration of LLMs in curriculum design, assessment, and career guidance, highlighting the role of AI-driven tools in bridging the gap between traditional educational models and the evolving demands of the workforce.
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