Transformation Of The Role Of Teachers And Innovative Learning Models In Vocational Education In The Era Of Artificial Intelligence: A Systematic Literature Review
Wawan Eko Putra

Indonesian University of Education

Abstract

The integration of artificial intelligence (AI) in vocational education requires fundamental transformation of the role of teachers and learning model innovations to answer the needs of the ever-growing digital industry. This study aims to analyze changes in the role of teachers and identify innovative learning models in vocational education in the AI era through a comprehensive systematic literature review (SLR). The SLR method follows the PRISMA guidelines by searching data on Scopus using Keywords: artificial intelligence AND education AND teacher AND vocational OR technical, with peer-reviewed publication inclusion criteria for 2020-2025 highlighting the transformation of the role of teachers in the context of AI in vocational education. Of the 483 articles identified, ten high-quality articles were selected for in-depth analysis using Braun & Clarke^s thematic approach. The results of the study show that the role of teachers has undergone three main changes. First, teachers are no longer just the presenters of the material, but act as facilitators who help students learn using data and AI technology. Second, teachers who previously focused on practicum supervision are now transformed into mentors who guide collaboration between humans and AI. Third, teachers no longer just assess learning outcomes in a traditional way, but play a role as designers of adaptive and personalized learning experiences. In addition, three innovative new learning models were found, namely learning that adapts to students^ abilities using AI, learning that involves cooperation between humans and AI, and competency-based assessment systems powered by AI technology. This study concludes that the transformation of the role of TJKT teachers requires strengthening AI literacy, digital pedagogical competence, and ethical decision-making skills to support the implementation of innovative learning models that are relevant to the demands of industry 4.0.

Keywords: artificial intelligence, vocational education, innovative learning, teacher transformation.

Topic: Education for sustainable development