The Future of Learning Student Perceptions on the Integration of Artificial Intelligence in Vocational Technical Education

Arief Kurniawan; Purnawan; Indra Saputra

The Future of Learning Student Perceptions on the Integration of Artificial Intelligence in Vocational Technical Education

Authors

Arief Kurniawan Universitas Ahmad Dahlan
Purnawan Universitas Ahmad Dahlan
Indra Saputra Universitas Negeri Padang

Keywords:

Artificial Intelligence, Student Perception, Vocational Education, Technology Adoption, Personalized Learning

Abstract

The rapid advancement of Artificial Intelligence (AI) has brought transformative changes across various sectors, including education. In vocational education, AI presents opportunities to enhance learning efficiency, content personalization, and interactivity. However, successful integration of AI in learning environments requires a comprehensive understanding of student perceptions, particularly in technical vocational contexts. This study aims to explore the perceptions of students in the Automotive Vocational Education Program at Universitas Ahmad Dahlan regarding the adoption of AI in learning. The research employs a descriptive quantitative approach involving 55 students as respondents. Data were collected using a Likert-scale questionnaire covering eight key indicators of AI adoption: learning efficiency, ease of use, content personalization, overall benefits, long-term relevance, social impact, interactivity, and engagement. The analysis was conducted using descriptive statistical methods, including mean and standard deviation calculations. The results reveal that students generally hold positive perceptions toward AI integration in learning. The highest mean score was found in content personalization (4.55), followed by ease of learning (4.53) and general benefits of AI (4.53). However, the indicator on social impact of AI showed slightly lower agreement and higher variation (mean = 4.35; SD = 0.85), suggesting some student concerns regarding ethical and societal implications. This study concludes that students are optimistic about AI’s role in shaping the future of vocational education. The findings highlight the importance of supporting policies, infrastructure, and digital literacy to foster effective AI integration. Further studies are recommended to explore deeper insights using mixed methods and broader respondent samples across institutions.

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The Future of Learning Student Perceptions on the Integration of Artificial Intelligence in Vocational Technical Education