EXPLORING INDONESIAN EFL TEACHERS’ READINESS FOR INTEGRATING ARTIFICIAL INTELLIGENCE IN CLASSROOM PRACTICES
DOI:
https://doi.org/10.30829/vis.v21i2.5086Keywords:
Artificial intelligence, English teachers, teacher readiness, educational technology, language teaching.Abstract
The rapid growth of artificial intelligence (AI) in education is a factor introducing significant changes in teaching English as a foreign language (EFL). Many AI-based applications, including chatbots, automated feedback systems, and adaptive platforms, offer the possibility to develop more interactive and personalized learning. Nonetheless, the implementation of AI will be successful if teachers are willing to learn, adapt, and implement it well. The study sought to see the extent to which teachers in Indonesia who teach English are prepared to adopt AI technology in learning activities. The areas studied were teachers' awareness, perceived benefits, difficulties, and flexibility towards AI. The results of this study to provide an initial picture of teachers' willingness to be exposed to digital transformation and can serve as a basis for developing more relevant training and education policies.References
Alghamdi, L. H., & Alghizzi, T. M. (2025). Educators ’ reflections on AI-automated feedback in higher education : a structured integrative review of potentials , pitfalls , and ethical dimensions. November, 1–17. https://doi.org/10.3389/feduc.2025.1704820
Apoko, T. W. (2025). Generative Artificial Intelligence in English Instruction: Indonesian EFL Vocational High School Teachers’ Perspectives. 13(3), 1432–1444.
Asrori, M., & Setyaningsih, E. (2025). Mapping the Terrain : EFL Teachers ’ Acceptance of Generative AI Integration in Lesson Planning. 17(2024), 2136–2146. https://doi.org/10.35445/alishlah.v17i2.6253
Ayuningtryas, V., & Emaliana, I. (2025). Are Pre-Service EFL Teachers Ready for AI-Assisted Assessment? 7(2), 267–294. https://doi.org/10.19105/panyonara.v7i2.21416
Babanoğlu, M. P., Öztürk Karataş, T., & Dundar, E. (2025). Envisioning the Future of AI-Assisted EFL Teaching and Learning : Conceptual Representations of Prospective Teachers. June, 1–22. https://doi.org/10.1177/21582440251341590
Braun, V. (2006). Using thematic analysis in psychology. 3, 77–101.
Chan, K. K., & Tang, W. K. (2025). Evaluating English Teachers ’ Artificial Intelligence Readiness and Training Needs with a TPACK-Based Model. 15(1), 129–145. https://doi.org/10.5430/wjel.v15n1p129.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approach (4th ed.). SAGE Publications.
Duan, N., & Hoagwood, K. (2013). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. https://doi.org/10.1007/s10488-013-0528-y
Fang, L. (2025). The Impact of AI Tools on ESL Learners ’ Engagement and Language Learning Motivation. 12(3), 111–114.
Floris, F. D., Widiati, U., Renandya, W. A., & Basthomi, Y. (2024). Artificial Intelligence in English Language Teaching : Fostering Joint Enterprise in Online Communities. 9(1), 12–21.
Hazaymeh, W. A., Bouzenoun, A., & Remache, A. (2024). EFL Instructors ’ Perspective on Using AI Applications in English as a Foreign Language Teaching and Learning. 8, 73–87.
Khairullah, S. A., Harris, S., Hadi, H. J., Sandhu, R. A., Ahmad, N., & Alshara, M. A. (n.d.). Implementing artificial intelligence in academic and administrative processes through responsible strategic leadership in the higher education institutions.
Kristiawan, D. Y. (2024). Artificial Intelligence in English Language Learning : A Systematic Review of AI Tools , Applications , and Pedagogical Outcomes. 5(2), 207–218.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
Ngoc, P., & Ly, K. (2025). “Are you on board?”: University EFL instructors’ readiness for integrating AI-powered tools in teaching. 41(3), 74–91.
Nurjanah, L., Cahyono, B. Y., Suryati, N., & Idris, M. (2025). Integrating Technology in English Language Teaching : A Study on Teachers ’ Digital Competencies. 14(3), 5803–5814.
Ozdemir, N., & Mede, E. (2024). Exploring In- service EFL Teachers ’ Readiness for the Generative AI Age. 15(4), 60–77. https://doi.org/10.29329/ijrte.
Pareek, K. (2023). The Effect Of AI In Classroom Teaching : Enhancing Learning Experiences And Teacher Support. 25(5), 36–39. https://doi.org/10.9790/0661-2505023639
Rahman, M. A. (2024). Pedagogy : Journal of English Language Teaching Exploring the Integration of Artificial Intelligence in English as a Foreign Language Education in Indonesia. 12(2), 196–212. https://doi.org/10.32332/joelt.v12i2.9549.Journal
Sari, L. I., & Sari, R. H. (2025). AI Integration in English Language Teaching: Insights into ESP Teachers’ Views and Readiness. 13(2), 779–792.
Sibarani, D. P., Cendana, W., & Anggraeni, C. K. P. (2025). Teachers ’ Perceptions and Readiness for AI-Based Virtual Assistants in Supporting Schools ’ Learning Transformation. 5(1), 215–222. https://doi.org/10.58737/jpled.v5i1.398
Syaparamadhany, F., Ibrati, S. I., Maulana, A., Sayripudin, U., Kurniati, U., Swadaya, U., & Jati, G. (2025). AI Integration in EFL Teacher Education: Perceptions. 8(2), 253–272.
Vera, N., Liando, F., Tatipang, D. P., Rorimpandey, R., Kumayas, T., Saudah, K., Iskandar, I., Manado, U. N., Program, P., Makassar, U. N., Program, P., & Yogyakarta, U. N. (2025). AI-Powered Language Learning : A Blessing or a Curse for English Language Education ? 12(1), 301–311.
Vistari, L., & Yuliasri, I. (2025). Gen Z Students ’ Readiness for AI-Assisted English Speaking Practice : Qualitative Analysis. 14, 243–267.
Downloads
Published
Issue
Section
License
Authors who publish with VISION agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.