Bridging the Skills Gap: The Role of LLMs in Vocational Education
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Abstract
One of the most pressing challenges in vocational education is bridging the skills gap between the labor market’s demands and the capabilities of the workforce. This paper examines how Large Language Models (LLMs) can be leveraged to close this gap by providing personalized learning experiences, career guidance, and real-time industry insights. By analyzing how LLMs can be used to design adaptive learning systems, create intelligent tutoring tools, and support skill-based certifications, the paper highlights the potential of LLMs in aligning vocational education with the evolving needs of industries. The study also discusses the ethical considerations and challenges in implementing LLMs at scale.
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