Integrating Generative AI in Primary English Material Design: Insights from Indonesian Teachers’ Perceptions
DOI:
https://doi.org/10.18690/rei5409Keywords:
Artificial Intelligence, English Material Design, Generative AI, Primary Education, Teacher Perception.Abstract
This study explored primary school teachers’ perceptions of Generative AI (GenAI) in English material design. Data from 20 certified Indonesian teachers were collected through interviews and document analysis. Findings indicate GenAI is valued for enhancing efficiency and personalization, especially in creating worksheets, reading texts, grammar tasks, and vocabulary lists. However, concerns emerged regarding pedagogical integration, ethical use, and lack of training. Teachers’ perceptions were shaped by their professional development experiences. The study underscores the urgent need for continuous, practice-based teacher training to develop AI literacy and ensure that GenAI supports, rather than replaces, instructional decision-making.
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Ahmad, S. F., Alam, M. M., Rahmat, Mohd. K., Mubarik, M. S., and Hyder, S. I. (2022). Academic and administrative role of Artificial Intelligence in education. Sustainability, 14(3), 1–11. https://–doi.org/10.3390/su14031101
Al-Abdullatif, A. M., and Gameil, A. A. (2020). Exploring students’ knowledge and practice of digital citizenship in higher education. International Journal of Emerging Technologies in Learning (IJET), 15(19), 122–142. https://doi.org/10.3991/ijet.v15i19.15611
Al-Adwan, A. S., Meet, R. K., Anand, S., Shukla, G. P., Alsharif, R., and Dabbaghia, M. (2025). Understanding continuous use intention of technology among higher education teachers in emerging economy: evidence from integrated TAM, TPACK, and UTAUT model. Studies in Higher Education, 50(3), 505–524. https://doi.org/10.1080/03075079.2024.2343955
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027
Braun, V., and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Cahyono, B. Y., Kurnianti, O. D., and Mutiaraningrum, I. (2016). Indonesian EFL teachers’ application of TPACK in in-service education teaching practices. International Journal of English Language Teaching, 4(5), 16–30. https://eajournals.org/ijelt/vol-4-issue-5-may-2016/indonesian-efl-teachers-application-tpack-service-education-teaching-practices/
Chang, D. H., Lin, M. P. C., Hajian, S., and Wang, Q. Q. (2023). Educational design principles of using AI chatbot that supports self-regulated learning in education: Goal setting, feedback, and personalization. Sustainability, 15(17), 12921. https://doi.org/10.3390/SU151712921
Chow, B. W.-Y., Hui, A. N.-N., Li, Z., and Dong, Y. (2023). Dialogic teaching in English-as-a-second-language classroom: Its effects on first graders with different levels of vocabulary knowledge. Language Teaching Research, 27(6), 1408–1430. https://doi.org/10.1177/1362168820981399
Creswell, J. W., and Poth, C. N. (2018). Qualitative inquiry and research design: choosing among five approaches. Sage Publications.
Darwin, Rusdin, D., Mukminatien, N., Suryati, N., Laksmi, E. D., and Marzuki. (2024). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education, 11(1), 1–18. https://doi.org/10.1080/2331186X.2023.2290342
Denzin, N. K. (2017). The research act. Routledge. https://doi.org/10.4324/9781315134543
Eguchi, A., Okada, H., and Muto, Y. (2021). Contextualizing AI education for K-12 students to enhance their learning of AI literacy through culturally responsive approaches. KI - Künstliche Intelligenz, 35(2), 153–161. https://doi.org/10.1007/s13218-021-00737-3
George, B., and Wooden, O. (2023). Managing the strategic transformation of higher education through Artificial Intelligence. Administrative Sciences, 13(9), 1–20. https://doi.org/10.33–90/admsci13090196
Gozali, I., and Cahyono, B. Y. (2022). Studentsʼ perspective on the importance of EFL teachersʼ TPACK (technological pedagogical content knowledge) and XK (contextual knowledge) for learning English during the pandemic. PASAA Journal, 64, 244–277. https://har–rt.in.th/handle/123456789/1465
Hastomo, T., Sari, A. S., Widiati, U., Ivone, F. M., Zen, E. L., and Andianto, A. (2025). Exploring EFL teachers’ strategies in employing AI chatbots in writing instruction to enhance student engagement. World Journal of English Language, 15(7), 93–102. https://doi.org/10.5430/–wjel.v15n7p93
Hu, W., and Shao, Z. (2025). Design and evaluation of a GenAI-based personalized educational content system tailored to personality traits and emotional responses for adaptive learning. Computers in Human Behavior Reports, 19, 1–12. https://doi.org/10.1016/j.chbr.2025.100735
Ibrahim, A., and Shiring, E. (2022). The relationship between educators’ attitudes, perceived usefulness, and perceived ease of use of Instructional and web-based technologies: Implications from Technology Acceptance Model (TAM). International Journal of Technology in Education, 5(4), 535–551. https://doi.org/10.46328/ijte.285
Kong, S. C., Yang, Y., and Hou, C. (2024). Examining teachers’ behavioural intention of using generative artificial intelligence tools for teaching and learning based on the extended technology acceptance model. Computers and Education: Artificial Intelligence, 7, 1–12. https://d–oi.org/10.1016/j.caeai.2024.100328
Kvale, S., and Brinkmann, S. (2009). InterViews: Learning the craft of qualitative research interviewing. Sage Publications.
Lee, K. W., and Tseng, Y. F. (2025). When ChatGPT meets classical management theories: the role and impact of AI chatbots on management learning. Interactive Learning Environments, 33, 1–24. https://doi.org/10.1080/10494820.2025.2482589
Leung, C. H. (2024). Promoting optimal learning with ChatGPT: A comprehensive exploration of prompt engineering in education. Asian Journal of Contemporary Education, 8(2), 104–114. https://doi.org/10.55493/5052.v8i2.5101
Li, J., Gao, X. (Andy), and Cui, X. (2023). Language teachers as materials developers. RELC Journal, 54(3), 881–889. https://doi.org/10.1177/00336882211061627
Lin, T., Zhang, J., and Xiong, B. (2025). Effects of technology perceptions, teacher beliefs, and AI literacy on AI technology adoption in sustainable mathematics education. Sustainability, 17(8), 3698. https://doi.org/10.3390/su17083698
Lincoln, Y. S., and Guba, E. G. (1985). Naturalistic inquiry. Sage Publications.
Liu, X., and Xiao, Y. (2025). Chinese university teachers’ engagement with generative AI in different stages of foreign language teaching: A qualitative enquiry through the prism of ADDIE. Education and Information Technologies, 30(1), 485–508. https://doi.org/10.1007/s10639-024-13117-9
Lucas, C. (2023). “Too young to learn English?”—Nurturing preschool children’s English language learning across an early years curriculum: A case study. Education Sciences, 13(9), 1–28. https://doi.org/10.3390/educsci13090949
Marzuki, Widiati, U., Rusdin, D., Darwin, and Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 1–17. https://doi.org/10.1080/2331186X.2023.2236469
Massala, K. (2023). Navigating bias and ensuring fairness equity unveiled in the AI-powered educational landscape. Intelligence Artificielle et Technologie, 13(1), 37–41. https://doi.org/10.7202/11075–42ar
Mohamed, A. M. (2024). Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a Foreign Language (EFL) teaching: perceptions of EFL Faculty Members.
Education and Information Technologies, 29(3), 3195–3217. https://doi.org/10.1007/s10639-023-11917-z
Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., and Kwong, T. (2024). Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course. System, 125, 103399. https://doi.org/10.1016/j.system.2024.103–399
Patton, M. Q. (2015). Qualitative research & evaluation methods. Sage Publications.
Petrucco, C., Favino, F., and Conte, A. (2025). Teachers’ perceptions on the introduction of Generative AI in schools: A mixed-method study on the opinions of 1,223 teachers in the Veneto Region, Italy. Education Sciences & Society, 2, 17–37. https://doi.org/10.3280/ess2-2024–oa18406
Rudolph, J., Tan, Shannon., and Tan, Samson. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning & Teaching, 6(1), 364–389. https://doi.org/10.37074/jalt.2023.6.1.23
Safitri, M., and Fithriani, R. (2024). Exploring higher education EFL students’ perception of AI writing tools in the 5.0 era. Cetta: Jurnal Ilmu Pendidikan, 7(1), 267–276. https://doi.org/10.37329/–cetta.v7i1.3158
Saldana, J. (2021). The coding manual for qualitative researchers. Sage Publications.
Silvola, A., Näykki, P., Kaveri, A., and Muukkonen, H. (2021). Expectations for supporting student engagement with learning analytics: An academic path perspective. Computers & Education, 168, 1–12. https://doi.org/10.1016/j.compedu.2021.104192
Taşçı, S., and Tunaz, M. (2024). Opportunities and challenges in AI-assisted language teaching: Perceptions of pre-service EFL teachers. Araştırma ve Deneyim Dergisi, 9(2), 74–83. https://doi.org/10.47214/adeder.1575897
Tong, F., Zhang, H., Zhen, F., Irby, B. J., and Lara-Alecio, R. (2021). Supporting home literacy practices in promoting Chinese parents’ engagement in their children’s English education in low-SES families: An experimental study. International Journal of Educational Research, 109, 1–16. https://doi.org/10.1016/j.ijer.2021.101816
Tugtekin, E. B., and Dursun, O. O. (2022). Effect of animated and interactive video variations on learners’ motivation in distance Education. Education and Information Technologies, 27(3), 3247–3276. https://doi.org/10.1007/s10639-021-10735-5
Yeh, H.-C. (2025). The synergy of generative AI and inquiry-based learning: transforming the landscape of English teaching and learning. Interactive Learning Environments, 33(1), 88–102. https://doi.org/10.1080/10494820.2024.2335491
Yin, R. K. (2018). Case study research and applications: Design and methods. Sage Publications.
Zulianti, H., Hastuti, H., Nurchurifiani, E., Hastomo, T., Maximilian, A., and Ajeng, G. D. (2024). Enhancing novice EFL teachers’ competency in AI-powered tools through a TPACK-based professional development program. World Journal of English Language, 15(3), 117–131. https://doi.org/10.5430/wjel.v15n3p117
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Copyright (c) 2026 Tommy Hastomo, Utami Widiati, Francisca Maria Ivone, Evynurul Laily Zen
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