Generative Artificial Intelligence in English Instruction: Indonesian EFL Vocational High School Teachers’ Perspectives

Generative artificial intelligence (Gen-AI) tools havebeen widely used in English teaching and learning. However, in the context of EFL teachers in vocational high schools, not all the teachers are aware of the potential of Gen-AI for English instruction. This study aims to address the gap identified in previous research by investigating Indonesian EFL teachers' perceptions and challenges of integrating Gen-AI into their classrooms. The participants of this study were 37 EFL teachers from diverse vocational high schools in Eastern Jakarta, Indonesia. This study employed a sequential explanatory mixed-methods design, combining quantitative and qualitative data. A cross-sectional survey was conducted to identify the perceptions of teachers and the challenges they face when integrating Gen-AI in their teaching practices. A semi-structured interview was conducted with a subset of participants to gather qualitative data on their experiences and challenges in utilizing Gen-AI. The results of the survey reveal positive perceptionsamong EFL teachers regarding the use of Gen-AI in English classes (Mean=4.00, SD=0.53). The findings also reveal that teachers are confident and willing to adopt Gen-AI tools (Mean=3.92, SD=0.49) acknowledging their ease of use and practicality in daily teaching practices (Mean=3.92, SD=0.60) and aligning with industry-specific needs (Mean=3.95, SD=0.52).The study underscores the need for equitable access and professional development to support the effective use of Gen-AI in vocational EFL context, ultimately enabling more innovative and future-ready English instruction.

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Publication Details

Journal
Journal of Languages and Language Teaching
Published
2025-07-18
DOI
https://doi.org/10.33394/jollt.v13i3.14190
Citations
1
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
8.93
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article

Generative Artificial Intelligence in English Instruction: Indonesian EFL Vocational High School Teachers’ Perspectives

Tri Wintolo Apoko
1 citations
Journal of Languages and Language Teaching
Technology-Enhanced Education Studies
8.93
article

Generative Artificial Intelligence in English Instruction: Indonesian EFL Vocational High School Teachers’ Perspectives

Tri Wintolo Apoko
article en
1 citations

Abstract

Generative artificial intelligence (Gen-AI) tools havebeen widely used in English teaching and learning. However, in the context of EFL teachers in vocational high schools, not all the teachers are aware of the potential of Gen-AI for English instruction. This study aims to address the gap identified in previous research by investigating Indonesian EFL teachers' perceptions and challenges of integrating Gen-AI into their classrooms. The participants of this study were 37 EFL teachers from diverse vocational high schools in Eastern Jakarta, Indonesia. This study employed a sequential explanatory mixed-methods design, combining quantitative and qualitative data. A cross-sectional survey was conducted to identify the perceptions of teachers and the challenges they face when integrating Gen-AI in their teaching practices. A semi-structured interview was conducted with a subset of participants to gather qualitative data on their experiences and challenges in utilizing Gen-AI. The results of the survey reveal positive perceptionsamong EFL teachers regarding the use of Gen-AI in English classes (Mean=4.00, SD=0.53). The findings also reveal that teachers are confident and willing to adopt Gen-AI tools (Mean=3.92, SD=0.49) acknowledging their ease of use and practicality in daily teaching practices (Mean=3.92, SD=0.60) and aligning with industry-specific needs (Mean=3.95, SD=0.52).The study underscores the need for equitable access and professional development to support the effective use of Gen-AI in vocational EFL context, ultimately enabling more innovative and future-ready English instruction.

Journal of Languages and Language TeachingVol. 13(3)
Universitas Muhammadiyah Prof Dr Hamka (ID)
Openalex Percentile: Top 3%
Technology-Enhanced Education Studies
8.93
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Generative Artificial Intelligence in English Instruction: Indonesian EFL Vocational High School Teachers’ Perspectives — Tri Wintolo Apoko · Journal of Languages and Language Teaching (2025) | TGRS Research Map | TGRS