Digital Transformation, Artificial Intelligence, and Career Development in Vocational Technology Education: An Integrative Review Based on Twenty Articles and VOSviewer Mapping

Chairul Anshar; M Giatman; Nizwardi Jalinus; Ernawati Ernawati; Fadhilah Fadhilah; Dedy Irfan; Hansi Effendi

doi:10.56806/jh.v7i3.458

Authors

Chairul Anshar Universitas Ekasakti
M Giatman Universitas Negeri Padang
Nizwardi Jalinus Universitas Negeri Padang
Ernawati Ernawati Universitas Negeri Padang
Fadhilah Fadhilah Universitas Negeri Padang
Dedy Irfan Universitas Negeri Padang
Hansi Effendi Universitas Negeri Padang

DOI:

https://doi.org/10.56806/jh.v7i3.458

Keywords:

Vocational Technology Education, TVET, Artificial Intelligence, Career Development,, Digital Competence

Abstract

Digital Transformation, Artificial Intelligence, and Career Development in Vocational Technology Education: An Integrative Review Based on Twenty Articles and VOSviewer Mapping. This article synthesizes twenty uploaded scholarly documents to examine how digital transformation, artificial intelligence (AI), Industry 4.0/5.0, and learning technologies reshape career development in Vocational Technology Education (VTE) and Technical and Vocational Education and Training (TVET). Using an integrative literature review supported by VOSviewer-based visual interpretation, the study reorganizes findings from diverse contexts into a career-oriented conceptual framework. The analysis identifies career development as the central connecting theme linking AI adoption, digital competence, e-learning, electronic portfolio management, cybersecurity behavior, hard skills, lifelong learning, and industry-responsive curricula. The findings show that technology integration in VTE is not merely a matter of introducing digital tools. It requires a systemic alignment of teacher competence, curriculum relevance, institutional governance, industry collaboration, data-informed learning ecosystems, and sustainable lifelong learning pathways. AI can strengthen personalization, feedback, assessment, and instructional efficiency; however, its educational value depends on pedagogical judgment, ethical data practices, infrastructure, and professional development. This study proposes an integrative TVET 5.0 framework built on five pillars: human-centered AI, teachers’ digital and AI competence, industry-responsive curriculum, secure and inclusive technology governance, and lifelong career development ecosystems. The article contributes a synthesized scholarly argument for designing VTE curricula that improve employability, adaptability, and career resilience in the era of intelligent and sustainable industry.

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