FROM READINESS TO PRACTICE: EXPLORING GENAI AS AN ACADEMIC COUNSELING TOOL AMONG VOCATIONAL EFL TEACHERS
DOI:
https://doi.org/10.51878/educational.v6i2.9924Keywords:
Academic Counseling, Generative Artificial Intelligence (GenAI), Teacher Readiness, Vocational EFL TeachersAbstract
ABSTRACT
The rapid development of Generative Artificial Intelligence (GenAI) technology has brought significant changes to instructional practices and academic services in vocational education settings. This study aims to explore the functions of Generative Artificial Intelligence (GenAI) utilized by English teachers in vocational schools in supporting instructional practices and academic counseling, particularly professional practices that go beyond the readiness indicators outlined in the Readiness for Artificial Intelligence Application Scale (RAIS). This study employed a mixed-method sequential explanatory design, using a RAIS-based questionnaire for quantitative data collection and semi-structured interviews for qualitative data collection. The quantitative data were analyzed descriptively to determine teachers’ readiness levels, while the qualitative data were examined through thematic analysis to gain deeper insights into the use of GenAI in professional practice. The results indicate that teachers are categorized as “ready” for GenAI utilization, reflecting an adequate level of competence to integrate GenAI into practical, pedagogical, and ethical aspects of English language teaching. Furthermore, the thematic findings reveal that GenAI functions not only as an instructional support tool but also as an academic support tool, serving as a reflective partner, decision-making aid, assessment design facilitator, and learning data management tool. These findings highlight the evolving role of GenAI in supporting teachers’ reflective practices, pedagogical decision-making, and professional development. This study suggests the importance of practice-oriented training and the development of more comprehensive technology readiness frameworks that incorporate reflective and data-informed teaching practices.
ABSTRAK
Perkembangan pesat teknologi Generative Artificial Intelligence (GenAI) telah membawa perubahan signifikan dalam praktik pembelajaran dan layanan akademik di lingkungan pendidikan vokasi. Penelitian ini bertujuan untuk mengeksplorasi fungsi penggunaan Generative Artificial Intelligence (GenAI) oleh guru bahasa Inggris di sekolah vokasi dalam mendukung praktik pembelajaran dan konseling akademik, khususnya praktik profesional yang melampaui indikator kesiapan yang tercantum dalam Readiness for Artificial Intelligence Application Scale (RAIS). Penelitian ini menggunakan desain mixed-method dengan pendekatan sequential explanatory, dengan kuesioner berbasis RAIS sebagai instrumen pengumpulan data kuantitatif dan wawancara semi-terstruktur sebagai instrumen pengumpulan data kualitatif. Data kuantitatif dianalisis secara deskriptif untuk menentukan tingkat kesiapan guru, sedangkan data kualitatif dianalisis menggunakan analisis tematik untuk memperoleh pemahaman yang lebih mendalam mengenai penggunaan GenAI dalam praktik profesional. Hasil penelitian menunjukkan bahwa guru termasuk dalam kategori “siap” dalam penggunaan GenAI, yang mencerminkan tingkat kompetensi yang memadai untuk mengintegrasikan GenAI ke dalam aspek praktis, pedagogis, dan etis dalam pembelajaran bahasa Inggris. Selain itu, temuan tematik mengungkapkan bahwa GenAI tidak hanya berfungsi sebagai alat pendukung pembelajaran, tetapi juga sebagai alat pendukung akademik, yang berperan sebagai mitra reflektif, pendukung pengambilan keputusan, fasilitator perancangan asesmen, serta alat pengelolaan data pembelajaran. Temuan ini menegaskan peran GenAI yang semakin berkembang dalam mendukung praktik reflektif guru, pengambilan keputusan pedagogis, serta pengembangan profesional. Penelitian ini merekomendasikan pentingnya pelatihan yang berorientasi pada praktik serta pengembangan kerangka kesiapan teknologi yang lebih komprehensif, yang mencakup praktik pembelajaran reflektif dan berbasis data.
Downloads
References
Aryanti, R. D., & Santosa, M. H. (2024). A Systematic Review on Artificial Intelligence Applications for Enhancing EFL Students’ Pronunciation Skill. The Art of Teaching English as a Foreign Language (TATEFL), 5(1), 102–113. https://doi.org/10.36663/tatefl.v5i1.718
Aullia, L. G. Y. M., & Santosa, M. H. (2025). AI in language education: Systematic review of ELSA Speak’s impact on English. Jurnal Pendidikan Bahasa Inggris Indonesia, 13(1), 1–10. https://doi.org/10.23887/jpbi.v13i1.3771
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Brown, H. D. (2001). Teaching by principles: An interactive approach to language pedagogy. In Language (Vol. 71, Issue 4). https://doi.org/10.2307/415773
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4(November 2022), 100118. https://doi.org/10.1016/j.caeai.2022.100118
Dewi, F. (2025). Leveraging generative AI in ELT: Teachers’ integration strategies and pedagogical adaptations. JOLLT Journal of Languages and Language Teaching, 13(2). https://doi.org/10.33394/jollt.v13i2.13670
Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. In Societies, 15(1), 1–6. https://doi.org/10.3390/soc15010006
Ghiasvand, F., Kogani, M., & Alipoor, A. (2024). "I’m not ready for this metamorphosis”: An ecological approach to Iranian and Italian EFL teachers’ readiness for artificial intelligence-mediated instruction. Teaching English with Technology, 24(3), 18–40. https://doi.org/10.56297/vaca6841//BFFO7057/ISKI2001
Ghiasvand, F., & Seyri, H. (2025). A collaborative reflection on the synergy of Artificial Intelligence (AI) and language teacher identity reconstruction. Teaching and Teacher Education, 160, 105022. https://doi.org/10.1016/j.tate.2025.105022
Hong, W. C. H. (2023). The impact of ChatGPT on foreign language teaching and learning: opportunities in education and research. Journal of Educational Technology and Innovation, 5(1), 37–45. https://doi.org/10.61414/jeti.v5i1.103
Kristiawan, D. Y., Bashar, K., & Pradana, D. A. (2024). Artificial intelligence in English language learning: A systematic review of AI tools, applications, and pedagogical outcomes. The Art of Teaching English as a Foreign Language(TATEFL), 5(2), 207–218. https://doi.org/10.36663/tatefl.v5i2.912
Kusumaningrum, S. R., Dewi, R. S. I., & Pristiani, R. (2023). Persepsi dosen di Indonesia terhadap penggunaan ChatGPT di lingkup akademik. Community Development Journal, 4(6), 11898–11905. https://doi.org/10.31004/cdj.v4i6.22861
Lee, S., Jeon, J., McKinley, J., & Rose, H. (2025). Generative AI and English language teaching: A global Englishes perspective. Annual Review of Applied Linguistics, 45, 85–108. https://doi.org/10.1017/S0267190525100184
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. International Journal of Management Education, 21(2), 100790. https://doi.org/10.1016/j.ijme.2023.100790
Mariani, C., Aaltonen, K., Ingason, H. þor, Mancini, M., & Huemann, M. (2025). The future of learning: how artificial intelligence and other new technologies revolutionize project management education and foster Project Learning Intelligence. Project Leadership and Society, 6, 1–4. https://doi.org/10.1016/j.plas.2025.100199
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535
Moorhouse, B. L. (2024a). Beginning and first-year language teachers’ readiness for the generative AI age. Computers and Education: Artificial Intelligence, 6(November 2023). https://doi.org/10.1016/j.caeai.2024.100201
Moorhouse, B. L. (2024b). Generative artificial intelligence and ELT. ELT Journal, 78(4), 378–392. https://doi.org/10.1093/elt/ccae032
Ozdemir, N., & Mede, E. (2024). Exploring in-service EFL teachers’ readiness for the generative AI age. International Journal of Research in Teacher Education, 15(4), 60–77. https://ijrte.inased.org/makale/5643
Prilop, C. N., Mah, D.-K., Jacobsen, L. J., Hansen, R. R., Weber, K. E., & Hoya, F. (2025). Generative AI in teacher education: Educators’ perceptions of transformative potentials and the triadic nature of AI literacy explored through AI-enhanced methods. Computers and Education: Artificial Intelligence, 9, 100471. https://doi.org/10.1016/j.caeai.2025.100471
Purba, M. P., Santosa, M. H., & Mahendrayana, G. (2024). Investigation of vocational teachers ’ and students ’ perception of AI technology in English language learning in SMK Negeri 1 Singarja. Jurnal Pendidikan Tambusai, 8, 33309–33316. https://jptam.org/index.php/jptam/article/view/18657
Rahman, A., Nurmahmudah, F., Cahya, E., Putra, S., Mulya, A., Harsono, B., Asagi, B., Arsyad, M. Z. T., & Alfarisa, F. (2025). Artificial intelligence (AI) as the reflective partner: Empowering teachers for deep learning pedagogy. Journal of Artificial Intelligence and Digital Business (RIGGS), 4(3), 3877–3889. https://doi.org/10.31004/riggs.v4i3.2426
Ramazano?lu, M., & Akin, T. (2024). AI readiness scale for teachers: Development and validation. Education and Information Technologies, 30, 6869–6897. https://doi.org/10.1007/s10639-024-13087-y
Shyh-mee, T., Kiran, K., & Diljit, S. (2015). Examining school librarians ’ readiness for information literacy education implementation. Malaysian Journal of Library & Information Science, 20(1), 79–97. https://ejournal.um.edu.my/index.php/MJLIS/article/view/1761
Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Artificial intelligence in EFL classrooms: Friend or foe?. LEARN Journal: Language Education and Acquisition Research Network, 15(1), 232–256. https://so04.tci-thaijo.org/index.php/LEARN/article/view/256723
Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8, 100355. https://doi.org/10.1016/j.caeai.2024.100355
Wedekind, V., Russon, J.-A., Zungu, Z., Liu, Z., & Li, M. (2025). Dimensions of a quality vocational teacher: Future issues and research. World Vocational and Technical Education, 1(2), 192–218. https://doi.org/doi:10.1515/wvte-2025-0004
Wei, X., Wang, L., Koszalka, T. A., Lee, L.-K., & Liu, R. (2025). Enhancing pre-service teachers’ reflective thinking skills through generative AI-assisted digital storytelling creation: A three-dimensional framework analysis. Computers & Education, 235, 105356. https://doi.org/10.1016/j.compedu.2025.105356
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 EDUCATIONAL : Jurnal Inovasi Pendidikan & Pengajaran

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