<![CDATA[Purpose – This study examines the role of artificial intelligence (AI)-based tutoring systems in enhancing both technical and soft skills of vocational education students. In the context of rapid technological advancement and Industry 5.0, vocational education institutions are required to produce graduates who are not only technically competent but also possess strong soft skills such as critical thinking, communication, collaboration, creativity, and adaptability. Methods – This study employs a literature review method by analyzing scholarly articles, books, and research reports published between 2020 and 2025. Findings – The findings indicate that AI-based tutoring systems provide personalized and adaptive learning experiences, allowing students to learn at their own pace and receive immediate feedback (Hwang & Tu, 2021). Furthermore, AI tutors contribute significantly to the development of technical competencies through simulations, virtual laboratories, and task-based learning, especially in vocational fields such as electronics, networking, and information technology (Woolf, 2021). In addition, AI supports the development of soft skills by encouraging independent learning, problem-solving, collaborative interaction, and decision-making abilities (Holmes et al., 2022). AI-driven systems also improve student motivation and engagement by creating interactive and responsive learning environments. Research implications – However, challenges such as infrastructure limitations, teacher readiness, data privacy concerns, and ethical considerations remain key issues in implementation. Therefore, this study recommends strengthening digital infrastructure, improving teacher training, and developing clear educational policies to optimize the integration of AI-based tutoring systems in vocational education and support future workforce readines. Originality – The study highlights the combined contribution of AI tutoring to technical competence and soft-skill development in vocational education.]]>
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