UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 13 Issue 2
February-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHJ06001


Registration ID:
575072

Page Number

1-4

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Title

ARTIFICIAL INTELLIGENCE IN VOCATIONAL TRAINING: BRIDGING THE SKILLS GAP WITH INTELLIGENT TECHNOLOGY

Abstract

The global workforce faces a persistent and widening skills gap, exacerbated by rapid technological advancements and evolving industry demands. This article explores the transformative potential of Artificial Intelligence (AI) in revolutionizing vocational training, offering innovative solutions to bridge this critical gap. We analyze how AI-powered technologies, including intelligent tutoring systems, virtual and augmented reality simulations, personalized learning platforms, and predictive analytics, can enhance the effectiveness and accessibility of vocational education. AI facilitates individualized learning pathways, provides real-time feedback, simulates complex real-world scenarios for hands-on practice, and identifies emerging skill requirements, thereby optimizing training outcomes. The integration of AI promises to make vocational training more engaging, efficient, and responsive to the dynamic needs of the job market. However, the successful deployment of AI in this domain necessitates addressing key challenges such as ensuring equitable access to technology, developing high-quality AI-driven content, mitigating algorithmic bias in assessment, and providing adequate training for instructors. We argue that by strategically leveraging AI, vocational training institutions can empower individuals with relevant, future-proof skills, fostering a more competent and adaptable workforce capable of thriving in the digital economy.

Key Words

Artificial Intelligence, Vocational Training, Skills Gap, Workforce Development, Intelligent Tutoring Systems, Personalized Learning, Virtual Reality, Augmented Reality, AI in Education.

Cite This Article

"ARTIFICIAL INTELLIGENCE IN VOCATIONAL TRAINING: BRIDGING THE SKILLS GAP WITH INTELLIGENT TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.1-4, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06001.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ARTIFICIAL INTELLIGENCE IN VOCATIONAL TRAINING: BRIDGING THE SKILLS GAP WITH INTELLIGENT TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp1-4, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06001.pdf

Publication Details

Published Paper ID: JETIRHJ06001
Registration ID: 575072
Published In: Volume 13 | Issue 2 | Year February-2026
DOI (Digital Object Identifier):
Page No: 1-4
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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