EFL Teachers’ Perspective on The Implementation of AI In ELT Setting
Main Article Content
Abstract
This study investigates the perspective of English teachers regarding the utilization of Artificial Intelligence (AI) as a tool in the English Language Teaching (ELT) setting. The current research employed a convenience sampling technique to choose a sample of 346 students from 12th grade classes at SMAN 16 Medan. Data was gathered by the processing of questionnaires and conducting interviews with the teachers. A subsequent analysis of the data was carried out using SPSS version 29.0. The findings suggest that students support the incorporation of Artificial Intelligence in English Language Teaching (ELT) as a technological tool. Given the limited availability of the incorporation of Artificial Intelligence does not affect individuals’ positive view points about the importance of the utilization of Artificial Intelligence as an educational tool. The positive viewpoint of the teachers about implementing Artificial Intelligence into the development of educational tools in ELT Setting. The concern expressed by the teachers on the application of Artificial Intelligence highlight the multitude of the utilization of these tools for learning greatly enhances the efficacy of the learning and teaching process
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
Acar, Z., & Eydin E, E. (2022). Perspectives of EFL teachers trainers and pre - service teachers on continued mandatory distance education during the pandemic. Teaching and Teacher Education, 112-114. doi:https://doi.org/10.1016/j.tate.2022.103635
Al, D. E. (2024). English teachers’ beliefs and practices in integrating digital literacy in the language classroom. International Journal of Evaluation and Research in Education (IJERE), 1242-1251. http://ijere.iaescore.com/
Anderson., et al. (2023). A new era in Internet interventions: The advent of Chat-GPT and AI-assisted therapist guidance. Internet Interventions, 2214-7829. https://doi.org/10.1016/j.invent.2023.100621
Bacoz, T. (2016). Pre-service EFL Teachers' attitude towards language learning through social media. procedia behavioral and sciences, 430-438. doi:http://creativecommons.org/licenses/by-nc-nd/4.0/
Baretta, A., & Halenko, N. (2022). Attitude towards regional british accents in EFL teaching: Student and teacher perspectives. Linguistics and Education, 67. doi:https://doi.org/10.1016/j.linged.2022.101018
Carvalho, L., & MaldonadoR, M. e. (2022). How can we design for learning in an AI world? Computers and Education: Artificial Intelligence, 3-9. doi:https://doi.org/10.1016/j.caeai.2022.100053
Celik I. (2023). Exploring the Determinants of Artificial Intelligence (AI) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption . Telematics and Informatics, 83-92. https://doi.org/10.1016/j.tele.2023.102026
Darayseh, A. (2023). Acceptence of artificial intelligence in teaching science: science teachers perspective. Computer and Education: Artificial Intelligence, 4. doi:https://doi.org/10.1016/j.caeai.2023.100132
Deen L, (2023). The role of educational initiatives in EFL teacher professional development: a study of teacher mentors’ perspectives. Heliyon, 9-29. https://doi.org/10.1016/j.heliyon.2023.e13342
Diwan C., et. al. (2023). AI-based learning content generation and learning pathway augmentation to increase learner engagement . Computers and Education: Artificial Intelligence, 40-51. https://doi.org/10.1016/j.caeai.2022.100110
Doleck, T. (2023). Fairness, Accountability, transparancy, and Ethics (FATE) in artificial intelligence (AI) and higher education: A systematic review. Computers & Education: Artificial Intelligence. doi:https://doi.org/10.1016/j.caeai.2023.100152
Embarak. (2022). Internet of Behaviour (IoB)-based AI models for personalized smart education System. Procedia Computer Science, 103-110. https://creativecommons.org/licenses/by-nc-nd/4.0
Gayed G.M., e. a. (2022). Exploring an AI-based writing Assistant’s impact on English language learners. Computers and Education: Artificial Intelligence, 9-16. https://doi.org/10.1016/j.caeai.2022.100055
Ginting. (2023). Applying Flipped Classroom Model Using Duolingo Application to Enhance Thammislam Foundation School’s Student Learning EFL. 116 - 121.
Hasnah Y., et al, (2019). Unpacking the opportunities and challenges in learning speaking online during Covid-19 outbreak: A case-study of Indonesian EFL college students. 109 - 129.
Helate, T. (2023). Professional development for academic engagement primary school efl teachers perceptions and predictors. social science and humanity. doi:https://doi.org/10.1016/j.ssaho.2023.100577
Howard, S. (2022). Educational data journey: Where are we going, what are we taking and making for AI? Computers & Education: Artificial Intelligence. doi:https://doi.org/10.1016/j.caeai.2022.100073
Kaharuddin, p. D. (2018). syllabus design for english language teaching. jakarta: prenada media group.
Khresheh. (2024). Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching. Computers and Education: Artificial Intelligence, 6, 14-15. https://doi.org/10.1016/j.caeai.2024.100218
Kim, K., & Kwon, K. (n.d.). Exploring the AI competencies of elementary school teachers in South Korea. Computers & Education: Artificial Intelligence, 4. doi:https://doi.org/10.1016/j.caeai.2023.100137
Leichtmann,B E. A. (2023). Effects of Explainable Artificial Intelligence on trust and human behavior in ahigh-risk decision task. Computers in Human Behavior, 139. https://doi.org/10.1016/j.chb.2022.107539
Lien, C. (2021). A multigroup analysis of factors underlying teachers’ technostress and their continuance intention toward online teaching. Computers & Education. https://doi.org/10.1016/j.compedu.2021.104335
Li, X. (2023). A theoretical review on the interplay among EFL teachers' professional identity, agency, and positioing. Ce Press, 421-428. doi:https://doi.org/10.1016/j.heliyon. 2023.e15510
Ossa, L. e. (2023). A smarter perspective: Learning with and from AI-cases. Artificial Intelligence, 135. doi:https://doi.org/10.1016/j.artmed.2022.102458
Podsen, I. J. (1997). Written expression:The principal’s survival guide. In Larchmont, Angewandte Chemie International Edition, 6(11), 951–952.
Ray P.P. (2023). Benchmarking, ethical alignment, and evaluation framework for conversational AI: Advancing responsible development of ChatGPT. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2772-4859. https://doi.org/10.1016/j.tbench.2023.100136
Rolt K.J., et al. (2022). Needs and requirements for an additional AI qualification during dual vocational training: Results from studies of apprentices and teachers. Computers and Education: Artificial Intelligence, 266-269. https://doi.org/10.1016/j.caeai.2022.100102
Sagala, R. & Rezeki T. (2024). TOURIST OR EXPLORER? DELVING STUDENTS’ PREDILECTION AND ANXIETY IN SEMANTICS COURSE. Exposure: Jurnal Pendidikan Bahasa Inggris, 13 (1), 114-130. https://journal.unismuh.ac.id/index.php/exposure
Sali P. (2013). Understanding motivations to become teachers of English: ELT trainees’ perceptions. Procedia - Social and Behavioral Sciences, 93, 1418 – 1422. https://doi.org/10.1016/j.heliyon. 2023.e15806
Setyadi, B. A. (2020). teaching English as a Foreign Language 2nd Edition. yogyakarta: Graha Ilmu.
Shopie, A. (2005). Language teaching using pedagogic horizons: language and content teaching in the mainstream. Linguistics and Edcation, 16.2, 173-187. doi:http://doi:10.1016/j.linged.2006.01.006
Sugiyono. (2016). educational research methods ( Quantitative Qualitative and R & D Approach) (Vol. 71). Yogyakarta: Alfabeta IKAPI.
Suyanto, D. (2021). Artificial Intelligence Edition 3 (Searching, Reasoning, Planning, dan Learning). Bandung: Informatika.
Ulfatin, N. t. (2021). Metode penelitian kualitatif untuk keguruan & pendidikan. jakarta: Erlangga.
Wang Y., et al. (2023). The moderating effect of participation in online learning activities and perceived importance of online learning on EFL teachers’teaching ability. Heliyon, 2405-2415. https://doi.org/10.1016/j.heliyon.2023.e13890
Yildiz, C. (2020). ideal classroom setting for english language teaching through the views of english language teaching (A sample turkey). English Langiage teaching, 3. doi:https://doi.org/10.5539/elt.v13n3p31
Yuzlu, Y. (2022). The impact of translanguaging-driven training on in-service EFL teachers: Complexity theory prism. Linguistics and Education, 71-82. https://doi.org/10.1016/j.linged.2022.101080
Zhang B., et al. (2023). Can AI-generated art stimulate the sustainability of intangible cultural heritage? A quantitative research on cultural and creative products of New Year Prints generated by AI Heliyon, 144-179. https://doi.org/10.1016/j.heliyon. 2023.e20477