Designing an AI-Integrated LMS: EFL Teachers’ Views on Affordances and Challenges
Abstract
The integration of generative artificial intelligence (GenAI) into English as a Foreign Language (EFL) learning is an emerging area of inquiry, particularly in contexts undergoing curriculum reform. This study explores how embedding ChatGPT into a Learning Management System (LMS) can support secondary EFL teachers’ instructional practices. Despite national efforts to improve digital infrastructure and pedagogical innovation, many EFL teachers still struggle with effectively using LMS platforms for language instruction. The study adopted a Design-Based Research (DBR) guided by the Software Development Life Cycle (SDLC) Waterfall model, to design, implement, and evaluate an AI-integrated LMS. Data were collected through surveys, interviews, and user walkthroughs with six secondary EFL teachers. Findings show that the AI-enhanced LMS improved usability, instructional planning, language material development, and teacher confidence. Teachers described the AI chatbot as a supportive thinking partner for generating lesson ideas, workload and encouraged pedagogical reflection. At the same time, they raised concerns about student overreliance, content accuracy, and the ethical boundaries of AI use. These insights highlight the importance of co-design, context-sensitive implementation, and critical digital literacy in GenAI integration. This study contributes to growing conversations on AI in secondary education by emphasizing the role of teacher agency, ethical awareness, and system adaptability. It suggests that GenAI, when grounded in local practice, can act not only as a technical tool but as a catalyst for language pedagogical instruction.
Downloads
References
Akinsola, M., & Animashun, I. (2020). The effect of simulation-games environment on student achievement and attitudes to mathematics in secondary schools. Turkish Online Journal of Educational Technology, 6(3), 113–119.
Anisah, L., Yawan, H., & Marhamah, M. (2024). Artificial Intelligence Enhanced Learning Management System: Supporting Merdeka Belajar-Kampus Merdeka (MBKM) at a State University in Indonesia. International Journal of Education, Social Studies, and Management (IJESSM), 4(3), 917–931. https://doi.org/10.52121/ijessm.v4i3.414
Bennani, S., Maalel, A., & Ben Ghezala, H. (2021). Adaptive gamification in E‐learning: A literature review and future challenges. Computer Applications in Engineering Education, 30(2), 628–642. https://doi.org/10.1002/cae.22477
Bozkurt, A. (2023). Unleashing the potential of generative AI, conversational agents and chatbots in educational praxis: A systematic review and bibliometric analysis of GenAI in education. Open Praxis, 15(4), 261–270. https://doi.org/10.55982/openpraxis.15.4.609
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
Chiu, T. K. (2024). The impact of generative AI (GenAI) on practices, policies and research direction in education: A case of ChatGPT and Midjourney. Interactive Learning Environments, 32(10), 6187–6203. https://doi.org/10.1080/10494820.2023.2253861
Firat, M. (2023). How ChatGPT can transform autodidactic experiences and open education? OSF Preprints. https://doi.org/10.31219/osf.io/9ge8m
Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernandez-Leo, D., ... & Rienties, B. (2024). The promise and challenges of generative AI in education. Behaviour & Information Technology, 1–27. https://doi.org/10.1080/0144929X.2024.2394886
Guan, L., Li, S., & Gu, M. M. (2024). AI in informal digital English learning: A meta-analysis of its effectiveness on proficiency, motivation, and self-regulation. Computers and Education: Artificial Intelligence, 7, 100323. https://doi.org/10.1016/j.caeai.2024.100323
Pintrich, P., & Groot, E. D. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40.
Rana, J., Gutierrez, P. L., & Oldroyd, J. (2021). Quantitative methods. In Global Encyclopedia of Public Administration, Public Policy, and Governance (p. 1). https://doi.org/10.1007/978-3-319-31816-5_460-1
Saputro, I. E. (2022). Students’ engagement on English learning through YouTube video. Interaction: Jurnal Pendidikan Bahasa, 9(1), 237–241.
Sari, E. F., Siregar, N. M., Sukiri, Julianti, R. R., & Resza, A. M. (2022). How physical education through TikTok makes a difference: The use of TikTok to promote learning activities. International Journal of Human Movement and Sports Sciences, 10(2), 187–192. https://doi.org/10.13189/saj.2022.100208
Sahid, S., Sukristiningsih, & Ruslan. (2022). Improving students’ speaking skill by using retelling story through pantomime at the second semester of English Study Program University of Papua. Qalam: Jurnal Ilmu Kependidikan, 11(1), 67–73.
Sahid, S., & Murianty, R. (2023). Investigating the use of first language in English language teaching at secondary school. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 1(11), 51–57.
Sahid, S. (2024). The influence of teachers’ personality on students’ motivation in learning English in West Papua: Based on university students’ perspective. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 12(1), 236–243.
Sahid, S., Murianty, R., & Manilet, R. (2024). English and its difficulties: An analysis of students’ responses. JLE: Journal of Literate of English Education Study Program, 5(2), 45–50.
Sahid, S., Murianty, R., & Sareng, I. B. (2024). Teacher understanding in implementing independent curriculum at junior high school in Manokwari, West Papua. JULIET: Journal of English Language and Literature, 1(2), 72–76.
Sirait, D., Harahap, Y. S., & Handayani, A. T. (2021). The use of YouTube-based interactive learning. European Journal of English Language Teaching, 6(4), 10–16.
Selwyn, N. (2012). Making sense of young people, education and digital technology: The role of sociological theory. Oxford Review of Education, 38(1), 81–96.
Sreekumar, D. (2023). What is quantitative research? Definition, methods, types, and examples. Retrieved from https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
Trias, D., Huertas, J., Mels, C., Castillejo, I., & Ronqui, V. (2021). Self-regulated learning, academic achievement and socioeconomic context at the end of primary school. Revista Interamericana de Psicología/Interamerican Journal of Psychology, 6(2), 235–240.
Ullah, I., & Bacha, D. M. (2020). The role played by Facebook in developing students' English language skills. University of Chitral Journal of Linguistics and Literature, 4(1), 11–22.
Wong, A., Ho, S., Olusanya, O., Antonini, M. V., & Lyness, D. (2021). The use of social media and online communications in times of pandemic COVID-19. Journal of the Intensive Care Society, 22(3), 255–260.
Zarei, N., & Rudravarapu, R. (2019). Using Instagram in English language learning. Research Journal of English Language and Literature (RJELAL), 7(2), 328–332.
Copyright (c) 2025 Hendri Yawan, Rais Abin, Marhamah, Puan Maharani

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

.png)


