Adoption of Artificial Intelligence in Vocational High Schools: A Systematic Review of Teachers’ Perspectives
DOI:
10.33395/sinkron.v10i1.15701Keywords:
AI, Adoption, Vocational school, Teacher, Education, Systematic literature reviewAbstract
The purpose of this study is to examine Vocational High School teachers' perceptions of the adoption of artificial intelligence (AI) in vocational education. Using a systematic literature review (SLR) approach with the PRISMA 2020 protocol, 1,346 articles were identified from six main databases: ACM, IEEE Xplore, ScienceDirect, Google Scholar, and Semantic Scholar. Of the 1,346 articles identified, 263 were excluded at an early stage because they did not meet basic criteria, such as authorship, publication language, and document type. A total of 1,083 articles were screened, yielding 208 reports for in-depth screening. After the screening and feasibility assessment, 29 studies were included in the final analysis. The analysis showed that 72% of studies reported positive results, 24% reported moderate results, and 3% reported exploratory results. The dominant factors influencing teachers' perceptions included infrastructure readiness, digital competence, institutional support, the relevance of the vocational curriculum, and ethical and privacy issues. These findings emphasize the need for a holistic strategy for implementing AI in vocational schools that encompasses teacher training, education policy, and ethical considerations.
Downloads
References
Adekunle, M., Ntshangase, S. D., Paul, O., Waheed, K., Adam, U. A., & Oluwakemi, S. (2024). Computers and Education : Artificial Intelligence Navigating the future : Exploring in-service teachers ’ preparedness for artificial intelligence integration into South African schools. Computers and Education: Artificial Intelligence, 7(November), 100330. https://doi.org/10.1016/j.caeai.2024.100330
Al-abdullatif, A. M. (2024). Modeling Teachers ’ Acceptance of Generative Artificial Intelligence Use in Higher Education : The Role of AI Literacy , Intelligent TPACK , and Perceived Trust.
Al Darayseh, A. (2023). Acceptance of artificial intelligence in teaching science: Science teachers’ perspective. Computers and Education: Artificial Intelligence, 4(October 2017), 100132. https://doi.org/10.1016/j.caeai.2023.100132
Ampong, K. O. (2024). Beyond the hype : exploring faculty perceptions and acceptability of AI in teaching practices. Discover Education. https://doi.org/10.1007/s44217-024-00128-4
Apoko, T. W. (2025). GENERATIVE ARTIFICIAL INTELLIGENCE IN ENGLISH INSTRUCTION : INDONESIAN EFL VOCATIONAL HIGH SCHOOL TEACHERS ’ PERSPECTIVES. 13(3), 1432–1444.
Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K. D., & Oyelere, S. S. (2022). Teachers’ readiness and intention to teach artificial intelligence in schools. Computers and Education: Artificial Intelligence, 3(June). https://doi.org/10.1016/j.caeai.2022.100099
Baihaqi, M. I., & Fitriawati, N. (2024). Artificial Intelligence in Civic Education Finding a Balance between Technology and Teacher Roles. 1(1), 1–6.
Cabrera-lanzo, N., & Fabi, M. (2025). Computers and Education : Artificial Intelligence Understanding AI adoption among secondary education teachers : A pls-sem approach. 8(May). https://doi.org/10.1016/j.caeai.2025.100416
Chear, T. S., & Norman, M. H. (2024). Perception on the use of Artificial Intelligence ( Ai ) in Teaching in SMK Dato Permaisuri , Miri , Malaysia. 14(8), 574–582. https://doi.org/10.6007/IJARBSS/v14-i8/22425
Delcker, J., Heil, J., & Ifenthaler, D. (2025). Evidence ‑ based development of an instrument for the assessment of teachers ’ self ‑ perceptions of their artificial intelligence competence. Educational Technology Research and Development, 73(1), 115–133. https://doi.org/10.1007/s11423-024-10418-1
Filiz, O., Haldun, M., & Tufan, K. (2025). Teachers and AI : Understanding the factors influencing AI integration in K ‑ 12 education. In Education and Information Technologies (Issue 0123456789). Springer US. https://doi.org/10.1007/s10639-025-13463-2
Gumelar, A., Nugraha, H. D., Anggrainy, R., & Sutrisno, H. H. (2025). Evaluation of Readiness among Prospective Mechanical Engineering Vocational Teachers to Apply Generative AI in Education Using Technology Acceptance Model ( TAM ). 5, 1779–1786.
Kim, N. J., & Kim, M. K. (2022). Teacher ’ s Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writing. 7(March), 1–13. https://doi.org/10.3389/feduc.2022.755914
Kitchenham, B. (n.d.). Procedures for Performing Systematic Reviews.
Konecki, M., Baksa, T., & Konecki, M. (2024). Teachers ’ Perception of AI and Their Attitudes Towards AI. 1(Csedu), 564–568. https://doi.org/10.5220/0012739300003693
Lee, Y., Davis, R. O., & Ryu, J. (2024). Korean in-Service Teachers ’ Perceptions of Implementing Artificial Intelligence ( AI ) Education for Teaching in Schools and Their AI Teacher Training Programs. 14(2), 1–6. https://doi.org/10.18178/ijiet.2024.14.2.2042
Lin, X. F., Chen, L., Chan, K. K., Peng, S., Chen, X., Xie, S., Liu, J., & Hu, Q. (2022). Teachers’ Perceptions of Teaching Sustainable Artificial Intelligence: A Design Frame Perspective. Sustainability (Switzerland), 14(13). https://doi.org/10.3390/su14137811
Lucas, M., Bem-haja, P., Zhang, Y., Llorente-cejudo, C., & Palacios-rodríguez, A. (2025). Computers and Education : Artificial Intelligence A comparative analysis of pre-service teachers ’ readiness for AI integration. Computers and Education: Artificial Intelligence, 8(August 2024), 100396. https://doi.org/10.1016/j.caeai.2025.100396
Meyne, L., Klaus, F., Siemer, C., & Deitmer, L. (2025). Artificial Intelligence in Vocational Education and Training : A Micro , Meso and Macro Perspective From the AI Pioneers Project. September.
Nugroho, O. F., Hikmawaty, L., Juwita, S. R., Hikmawaty, L., & Juwita, S. R. (2024). Artificial Intelligence Technology Embedded in High School Science Learning : A Study of Teacher Perception. 08(02), 132–143. https://doi.org/10.55215/pedagonal.v8i2.16
Nurkhin, A., Tri, J., Santoso, B., & Astuti, D. P. (2024). Understanding the teacher ’ s intention to use artificial intelligence for accounting learning. August, 24–32.
Oh, S., & Ahn, Y. (n.d.). Exploring Teachers ’ Perception of Artificial.
Online, I. (2025). International Journal of. 1(1), 1–11.
Pendidikan, M., & Inggris, B. (2025). Analisis Perspektif Guru Terhadap Chat GPT di SMK Negeri 1 Bangli.
Putra, R. P. (2025). The Need Analysis for AI-Based Applications to Support Teacher Performance. 6(1), 116–124. https://doi.org/10.46843/jiecr.v6i1.2100
Rosemary, R., Adekunle, M., Kurata, L., & Chere-masopha, J. (2024). Do in-service teachers accept artificial intelligence-driven technology ? The mediating role of school support and resources. Computers and Education Open, 6(January), 100191. https://doi.org/10.1016/j.caeo.2024.100191
Runge, I., & Hebibi, F. (2025). Acceptance of Pre-Service Teachers Towards Artificial Intelligence ( AI ): The Role of AI-Related Teacher Training Courses and AI-TPACK Within the Technology Acceptance Model.
Sakarya University Journal of Education. (2024). 14(Apa 7), 179–193.
Sholikhah, A. (2016). Statistik deskriptif dalam penelitian kualitatif. KOMUNIKA: Jurnal Dakwah Dan Komunikasi, 10(2), 342–362.
Syahputra, M. (2023). EXPLORING CHATGPT IN LANGUAGE EDUCATION : FRIEND OR FOE FOR TEACHERS ? 1252–1269.
Syahria, B. A., Darlis, A., Islam, U., Sumatera, N., Islam, U., & Sumatera, N. (2025). PERSEPSI GURU TERHADAP PENGGUNAAN TEKNOLOGI EDUKASI BERBASIS ARTIFICIAL INTELLIGENCE DI MAS AL WASHLIYAH 12 PERBAUNGAN. 10.
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., & Hickey, D. T. (2023). What if the devil is my guardian angel : ChatGPT as a case study of using chatbots in education. Smart Learning Environments. https://doi.org/10.1186/s40561-023-00237-x
Untari, D., Salim, H. A., Agustin, S. D., & Yuliana, S. (2024). Persepsi Guru dan Siswa dalam Sosialisasi Penggunaan Aplikasi Elsa Speak untuk Pembelajaran Pengucapan Bahasa Inggris di SMK Inklusi TPA Jember. 4, 1154–1161.
Yao, N., & Wang, Q. (2024). Heliyon Factors influencing pre-service special education teachers ’ intention toward AI in education : Digital literacy , teacher self-efficacy , perceived ease of use , and perceived usefulness. 10(January).
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2026 Erny Mafrukhah, Lisana Lisana

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






















Moraref
PKP Index
Indonesia OneSearch
OCLC Worldcat
Index Copernicus
Scilit
