Teachers' Perceptions of Artificial Intelligence (AI) Integration in Learning at SMKN 3 Surakarta
Abstract
Abstrak
Penelitian ini bertujuan untuk mengetahui: (1) sikap guru SMK N 3 Surakarta terhadap penggunaan Artificial Intelligence (AI) dalam pembelajaran, dan (2) persepsi guru terhadap integrasi AI dalam proses belajar mengajar.Penelitian ini dilatarbelakangi oleh masih terbatasnya kajian yang secara spesifik membahas persepsi guru sekolah menengah kejuruan terhadap penggunaan AI dalam konteks pembelajaran. Menggunakan pendekatan mixed methods dengan desain explanatory sequential, data kuantitatif diperoleh melalui angket kepada 73 guru, sedangkan data kualitatif dikumpulkan melalui wawancara terstruktur, observasi langsung, dan dokumentasi untuk memperdalam hasil kuantitatif. Hasil menunjukkan bahwa sebagian besar guru bersikap positif terhadap penggunaan AI karena mendukung efisiensi dan personalisasi pembelajaran. Namun, kekhawatiran juga muncul terkait pemahaman teknologi, keterbatasan pelatihan, dan potensi tergantikannya peran guru. AI dipandang sebagai alat bantu, bukan pengganti guru. Penelitian ini merekomendasikan pelatihan berkelanjutan, penguatan literasi AI, serta kebijakan implementasi yang bertahap dan etis untuk mendukung pemanfaatan AI secara optimal di sekolah kejuruan. Penelitian ini memberikan kontribusi berupa gambaran empiris mengenai kesiapan guru SMK dalam mengadopsi AI sebagai bagian dari transformasi digital pendidikan.
Kata kunci : Artificial Intelligence; persepsi guru; sikap guru; pembelajaran digital
Abstract
This study aimed to investigate: (1) the attitudes of teachers at SMK Negeri 3 Surakarta toward the use of Artificial Intelligence (AI) in learning, and (2) teachers' perceptions regarding the integration of AI in the teaching and learning process. The study was motivated by the limited body of research specifically addressing vocational secondary school teachers' perceptions of AI use in educational contexts. A mixed-methods approach with an explanatory sequential design was employed; quantitative data were collected through questionnaires administered to 73 teachers, while qualitative data were gathered through structured interviews, direct classroom observations, and document analysis to extend and deepen the quantitative findings. Results indicated that the majority of teachers held positive attitudes toward AI, perceiving it as a tool that enhances learning efficiency and enables personalized instruction. Nonetheless, concerns were expressed regarding students' potential over-reliance on technology, diminished direct teacher-student interaction, and data privacy risks. Teachers consistently framed AI as a pedagogical aid rather than a substitute for the teaching profession. The study recommends sustained AI literacy training, the establishment of evidence-based and ethically grounded implementation policies, and the development of institutional support structures to facilitate the responsible and optimal integration of AI in vocational school settings. These findings contribute an empirical account of vocational school teachers' readiness to adopt AI as a component of broader digital transformation in education.
Keywords: Artificial Intelligence; teacher perception; teacher attitude; digital learning; vocational school
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Abdul, M., & Kun, S. (2024). Tantangan integrasi AI dalam pendidikan vokasional: Analisis hambatan teknis dan etis [Challenges of AI integration in vocational education: Analysis of technical and ethical barriers]. Jurnal Pendidikan Kejuruan Indonesia, 6(1), 45–58.
Afrita, F. (2023). Pemanfaatan teknologi AI dalam pembelajaran adaptif [The use of AI technology in adaptive learning]. Penerbit Edukasi Digital.
Ajzen, I. (2020). Attitudes and personality: The theory of planned behavior revisited. Psychology Press.
Annisa, R. (2024). Transformasi digital dalam pendidikan Indonesia [Digital transformation in Indonesian education]. Literasi Nusantara.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Hanila, M., & Alghaffaru, M. (2023). Perlindungan data dalam penggunaan AI untuk pembelajaran daring [Data protection in the use of AI for online learning]. Jurnal Etika Teknologi, 5(3), 212–225.
Hayati, L., & Zuraini, N. (2023). Difusi inovasi dalam penerapan teknologi pembelajaran digital: Studi pada guru sekolah menengah [Diffusion of innovation in the implementation of digital learning technology: A study of secondary school teachers]. Jurnal Inovasi Pendidikan, 7(2), 85–93.
Lazer, D., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., & Zittrain, J. L. (2022). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao2998
Meilinda, A., Pramesti, D., & Kusumaningrum, T. (2024). Tantangan kemandirian belajar di era AI: Studi persepsi guru sekolah menengah [Challenges of learning independence in the AI era: A study of secondary school teachers' perceptions]. Jurnal Ilmu Pendidikan Indonesia, 9(1), 12–25.
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). SAGE.
Nisa, R., Hidayat, A., & Syamsul, M. (2023). Persepsi guru terhadap adopsi teknologi dalam kurikulum merdeka [Teachers' perceptions of technology adoption in the Merdeka curriculum]. Jurnal Inovasi Pendidikan, 10(1), 42–57.
OECD. (2023). Education at a glance 2023: OECD indicators. OECD Publishing. https://doi.org/10.1787/e13bef63-en
Rachmad, R., Setiawan, A., & Fitria, Y. (2022). Proses adopsi teknologi dalam dunia pendidikan: Kajian literatur [The process of technology adoption in education: A literature review]. Global Aksara.
Riyandi, R., Fadhilah, N., & Pratama, H. (2024). Efektivitas pemanfaatan Artificial Intelligence dalam pembelajaran adaptif di sekolah kejuruan [Effectiveness of Artificial Intelligence use in adaptive learning at vocational schools]. Jurnal Pendidikan Vokasi, 14(1), 33–42.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Scherer, R. (2023). Understanding teachers' attitudes toward educational technology: A three-component model. Educational Psychology Review, 35(1), 25–40. https://doi.org/10.1007/s10648-023-09726-6
Sugiarto, A., Ningsih, S., & Lestari, D. (2024). Pemanfaatan AI dalam kurikulum merdeka [The use of AI in the Merdeka curriculum]. Jurnal Teknologi dan Pendidikan, 8(1), 12–28.
Susanto, E., & Jimad, M. (2019). Analisis penerimaan teknologi dalam pendidikan berdasarkan Technology Acceptance Model (TAM) [Analysis of technology acceptance in education based on the Technology Acceptance Model]. Jurnal Sistem Informasi, 15(2), 112–121.
Susanto, H., & Jimad, S. (2020). Technology acceptance model: Teori dan implementasi dalam sistem informasi [Technology acceptance model: Theory and implementation in information systems]. Pustaka Pelajar.
UNESCO. (2023). Global education monitoring report 2023: Technology in education—A tool on whose terms? UNESCO Publishing.
Wiwin, R. (2023). AI sebagai sistem evaluasi dalam pembelajaran [AI as an evaluation system in learning]. Jurnal Pembelajaran Digital, 9(2), 2185–2197.
Wiwin, W. (2023). Penggunaan AI dalam pembelajaran berbasis personalisasi di sekolah menengah [The use of AI in personalization-based learning in secondary schools]. Jurnal Teknologi dan Pendidikan, 5(3), 101–109.
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