Teaching English in the Age of AI: A Qualitative Study of Primary English Teachers’ Perceptions

The adoption of AI tools in English language teaching has dramatically increase in recent years causing a fundamental shift to lesson planning and teaching at all levels of countries. The purpose of this study is to investigate and understand how Malaysian primary English teachers employ AI in designing and implementing lesson plans for students and describe their perceptions of the impact of AI on students. This study responds to a critical research gap by investigating the underexplored experiences of primary level teachers to whom learners’ expectations for engaging, scaffolded and contextualised learning are not the same as those of secondary and tertiary educators. Using a qualitative approach, data were gathered from six experienced primary teachers in different Malaysian schools through semi-structured interviews, observations and analysis of AI enhanced lesson plans by using checklist. The results show that teachers use AI most for producing differentiated content within the classroom as well as engaging in creative lesson planning to adapt products to local situations and learner diversity yet emphasise the importance of teacher guided implementation for pedagogical and cultural relevance. Participants reported that it also improves lower proficiency students’ engagement, motivation and confidence to learn. It also indicated the importance of continuous professional development of AI literacy. The research highlights opportunities such as better efficiency, equity and more personalisation as well as challenges such as the reliability of AI generated content and the risk of relying too much on them. In conclusion, teacher agency, prompt engineering and reflective practice are the keys to the effective integration of AI in primary English classroom.

Artificial Intelligence, perceptions, English

1. Alamri, W. (2025, August). Evaluating the benefits and challenges of using authentic materials in EFL context for listening purpose. In Frontiers in Education (Vol. 10, p. 1611308). Frontiers. https://doi.org/10.3389/feduc.2025.1611308 [Google Scholar] [Crossref]

2. Aldosemani, T. I., Assalahi, H., Lhothali, A., & Albsisi, M. (2023). Automated writing evaluation in EFL contexts: A review of effectiveness, impact, and pedagogical implications. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 13(1), 1-19. https://doi.org/10.4018/IJCALLT.329962 [Google Scholar] [Crossref]

3. Aljohani, M. (2017). Principles of “constructivism” in foreign language teaching. Journal of Literature and Art Studies, 7(1), 97-107. DOI: 10.17265/2159-5836/2017.01.013 [Google Scholar] [Crossref]

4. Almegren, A. (2025). AI‑powered ELT: Instructors’ transformative roles in AI‑powered learning environments. PLOS ONE, 20(5), e0324910. https://doi.org/10.1371/journal.pone.0324910 [Google Scholar] [Crossref]

5. Alonzo, D., Abril, J. M. V., & Oo, C. Z. (2024). The use of artificial intelligence in English language assessment: Empirical evidence and future directions. Available at SSRN 4695394. DOI:10.2139/ssrn.4695394 [Google Scholar] [Crossref]

6. Belloula, S. (2025). Empowering educators: Leveraging AI to revolutionize lesson planning. International Journal of Research in Education and Science (IJRES), 11(2), 264-280. https://doi.org/10.46328/ijres.1295 [Google Scholar] [Crossref]

7. Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education (8th ed.). Routledge. [Google Scholar] [Crossref]

8. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa [Google Scholar] [Crossref]

9. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications. [Google Scholar] [Crossref]

10. Del Valle, J. M. (2024). Use of generative AI in writing lesson plans: The case of English pre-service teachers. International Journal of Social Science, Humanity & Management Researchers, 4(7), 12–25. https://ijsshmr.com/v4i7/2.php [Google Scholar] [Crossref]

11. Dekhakhena, A. (2025). AI-Powered Personalized Learning in EFL Acquisition: Exploring Adaptive Instruction and Feedback Systems. Journal of Studies in Language, Culture and Society (JSLCS), 8(1), 111-131. [Google Scholar] [Crossref]

12. Denzin, N. K. (2012). Triangulation 2.0. Journal of Mixed Methods Research, 6, 80-88. https://doi.org/10.1177/1558689812437186 [Google Scholar] [Crossref]

13. De Vina, A. P. R. (2025). Using AI to integrate local legends into language lessons in West Kalimantan. Wanastra English Journal, 13(1), 45–60. DOI: 10.31943/wej.v9i1.342 [Google Scholar] [Crossref]

14. Dogan, S. (2025). A Human-AI Hybrid Co-Design Model: Planning Effective Instruction with ChatGPT. Asian Journal of Distance Education, 20(1). Retrieved from http://asianjde.com/ojs/index.php/AsianJDE/article/view/818 [Google Scholar] [Crossref]

15. Flick, U. (2022). Revitalising triangulation for designing multi-perspective qualitative research. In U. Flick (Ed.) Revitalising triangulation for designing multi-perspective qualitative research (Vol. 2, pp. 652-664). SAGE Publications Ltd. https://doi.org/10.4135/9781529770278.n40 [Google Scholar] [Crossref]

16. Granström, M., & Oppi, P. (2025). Student engagement with AI tools in learning: Evidence from a large-scale Estonian survey. Frontiers in Education, 10, 1688092. https://doi.org/10.3389/feduc.2025.1688092 [Google Scholar] [Crossref]

17. Hasin, H., Mahat, Z., Jamil, A., Mohd Sehat, R., & Fauzihardani, E. (2025). The Role of AI-Assisted Learning Tools in Personalized Learning and Adaptive Education. Information Management and Business Review, 17(1(I)S), 314-324. Retrieved from https://ojs.amhinternational.com/index.php/imbr/article/view/4413 [Google Scholar] [Crossref]

18. He, M., Abbasi, B.N. & He, J. (2025). AI-driven language learning in higher education: an empirical study on self-reflection, creativity, anxiety, and emotional resilience in EFL learners. Humanit Soc Sci Commun 12, 1525. https://doi.org/10.1057/s41599-025-05817-5 [Google Scholar] [Crossref]

19. Hossain, K. I. (2024). Reviewing the role of culture in English language learning: Challenges and opportunities for educators. Social Sciences & Humanities Open, 9, 100781. https://doi.org/10.1016/j.ssaho.2023.100781 [Google Scholar] [Crossref]

20. Hwang, G., & Tu, Y. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Creative Education, 12(12), 2849-2865. https://doi.org/10.3390/math9060584 [Google Scholar] [Crossref]

21. Ilma, A., & Rohmah, Z. (2025). AI in EFL education: teachers’ competence and the roadblocks to teaching material development. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2588471 [Google Scholar] [Crossref]

22. Ismaniati, C., Khairaty, N. I., Yusuf, N., & Supramono, A. (2025). Harnessing self-efficacy: Mediating the connection between TPACK and AI intentions among teachers. Journal of Pedagogical Research, 9(2), 109-126. [Google Scholar] [Crossref]

23. Jingyi, X., & Pamintuan, C. (2024). Intelligent Enhancements in Differentiated Language Education: A Case Study Focused on Learner Needs. SAGE Open, 14(4), 21582440241287585. https://doi.org/10.1177/21582440241287585 [Google Scholar] [Crossref]

24. Jong, M., Ruzaini, A., Thulasy, S., Ravi, D. M., Munirah, W. A., Yunus, M. M., ... & Salehi, H. (2025). Leveraging Artificial Intelligence (AI) to Enhance Differentiated Learning Strategies in Malaysian ESL Learners: A Conceptual Paper. ASEAN Artificial Intelligence Journal, 2(1), 1-18. https://doi.org/10.37934/aaij.2.1.118 [Google Scholar] [Crossref]

25. Khasawneh, M. A. S., & Belton, B. (2025). Disclosing the effects of automated feedback on reading comprehension, reading motivation, reading engagement, and reading anxiety through personalized technology-enhanced learning. Computers in Human Behavior Reports, 20, 100817. https://doi.org/10.1016/j.chbr.2025.100817 [Google Scholar] [Crossref]

26. Kerr, Robert C. & Kim, Hyekyeng. (2025). From Prompts to Plans: A Case Study of Pre-Service EFL Teachers' Use of Generative AI for Lesson Planning From Prompts to Plans: A Case Study of Pre-Service EFL Teachers' Use of Generative AI for Lesson Planning. English Teaching. 80. 95-118. 10.15858/engtea.80.1.202503.95. [Google Scholar] [Crossref]

27. Kim, N. J., & Kim, Y. (2022). Teacher perceptions and challenges of AI-enhanced scaffolding systems in STEM education. Frontiers in Education, 7, 823. DOI: 10.3389/feduc.2022.00823 [Google Scholar] [Crossref]

28. Koehler, M. J., Mishra, P., Kereluik, K., Shin, T. S., & Graham, C. R. (2014). The Technological Pedagogical Content Knowledge Framework. In J. M. Spector et al. (Eds.), Handbook of Research on Educational Communications and Technology (pp. 101-111). Springer. https://doi.org/10.1007/978-1-4614-3185-5_9 [Google Scholar] [Crossref]

29. Krippendorff, K. (2019). Content analysis. SAGE Publications, Inc., https://doi.org/10.4135/9781071878781 [Google Scholar] [Crossref]

30. Kwak, M. (2025). The Effectiveness of AI-Driven Tools in Improving Student Learning Outcomes Compared to Traditional Methods. Issues in Information Systems, 26(4), 233-247. https://doi.org/10.48009/4_iis_2025_120 [Google Scholar] [Crossref]

31. Lan, M., Zhou, X. (2025). A qualitative systematic review on AI empowered self-regulated learning in higher education. npj Sci. Learn. 10, 21. https://doi.org/10.1038/s41539-025-00319-0 [Google Scholar] [Crossref]

32. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications. [Google Scholar] [Crossref]

33. Liu, Y., Thurston, A., & Ye, X. (2024). Technology-enhanced cooperative language learning: A systematic review. International Journal of Educational Research, 124, 102314. https://doi.org/10.1016/j.ijer.2024.102314 [Google Scholar] [Crossref]

34. Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x [Google Scholar] [Crossref]

35. Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & 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.2024.103399 [Google Scholar] [Crossref]

36. Nurin Hanisah Roslan, Zamri Mahamod (2025). The Use of Artificial Intelligence (AI) in Planning Differentiated Learning for Malay Language Teaching and Learning. International Journal of Research and Innovation in Social Science (IJRISS), 9(03), 5989-6013. https://doi.org/https://dx.doi.org/10.47772/IJRISS.2025.903SEDU0432 [Google Scholar] [Crossref]

37. Oranga, J., & Matere, A. (2023). Qualitative research: Essence, types and advantages. Open Access Library Journal, 10(12), 1-9. DOI: 10.4236/oalib.1111001 [Google Scholar] [Crossref]

38. Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544. https://doi.org/10.1007/s10488-013-0528-y [Google Scholar] [Crossref]

39. Piaget, J. (1972). Intellectual Evolution from Adolescence to Adulthood. Human Development, 15, 1-12. http://dx.doi.org/10.1159/000271225 [Google Scholar] [Crossref]

40. Rajandren, L. R. (2021). Exploring TPACK Competencies of Primary School Teachers in ESL Classroom (Doctoral dissertation, Universiti Teknologi Malaysia). http://eprints.utm.my/102558/1/LalithaRajRajandrenMSP2021.pdf.pdf [Google Scholar] [Crossref]

41. Ruslim, M. I., & Khalid, F. (2024). The use of artificial intelligence in differentiated instruction classrooms. International Journal of Academic Research in Business & Social Sciences, 14(8), 682-697. http://dx.doi.org/10.6007/IJARBSS/v14-i8/22435 [Google Scholar] [Crossref]

42. Sallam, M. (2024). ChatGPT usage and attitudes are driven by perceptions of the educational benefits of generative AI. Frontiers in Education, 9, Article 1414758. https://doi.org/10.3389/feduc.2024.1414758 [Google Scholar] [Crossref]

43. Shafie, H., Majid, F. A., & Ismail, I. S. (2019). Technological pedagogical content knowledge (TPACK) in teaching 21st century skills in the 21st century classroom. Asian Journal of University Education, 15(3), 24-33. DOI:10.24191/ajue.v15i3.7818 [Google Scholar] [Crossref]

44. Shulman, L.S. (1986) Those Who Understand: Knowledge Growth in Teaching. Educational Researcher, 15, 4-14. http://dx.doi.org/10.3102/0013189X015002004 [Google Scholar] [Crossref]

45. Tai, H. Y., Lin, M. F., & Chen, Y. S. (2025). Incorporating ChatGPT Into Genre‐Based Instruction for Argumentative Writing Among EFL College Students. International Journal of Applied Linguistics, e12777. https://doi.org/10.1111/ijal.12777 [Google Scholar] [Crossref]

46. Tan, L. Y., Hu, S., Yeo, D. J., & Cheong, K. H. (2025). Artificial Intelligence-Enabled Adaptive Learning Platforms: A Review. Computers and Education: Artificial Intelligence, 100429. https://doi.org/10.1016/j.caeai.2025.100429 [Google Scholar] [Crossref]

47. Tan, S. C., Tan, Y. Y., Teo, C. L., & Yuan, G. (2025). Teachers' professional agency in learning with AI: A case study of a generative AI‐based knowledge building learning companion for teachers. British Journal of Educational Technology. https://doi.org/10.1111/bjet.70013 [Google Scholar] [Crossref]

48. 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 [Google Scholar] [Crossref]

49. Tan, X., Cheng, G., & Ling, M. H. (2025). Investigating the mediating role of TPACK on teachers’ AI competency and their teaching performance in higher education. Computers and Education: Artificial Intelligence, 100461. https://doi.org/10.1016/j.caeai.2025.100461 [Google Scholar] [Crossref]

50. Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact (2nd ed.). Wiley-Blackwell. [Google Scholar] [Crossref]

51. Uchida, S. (2025). Generative AI and CEFR levels: Evaluating the accuracy of text generation with ChatGPT‑4o through textual features. Journal of Computer Assisted Language Learning and Teaching, 15(1), 1–22. https://doi.org/10.29140/vli.v14n1.2078 [Google Scholar] [Crossref]

52. Van Teijlingen, E., & Hundley, V. (2001). The importance of pilot studies. Social Research Update, 35(1), 1–4. [Google Scholar] [Crossref]

53. Vesna, L., Sawale, P. S., Kaul, P., Pal, S., & Murthy, B. S. N. V. R. (2025). Digital divide in AI-powered education: Challenges and solutions for equitable learning. Journal of Information Systems Engineering and Management, 10(21), 300-308. [Google Scholar] [Crossref]

54. Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press. [Google Scholar] [Crossref]

55. Wang, F., Zhou, X., Li, K., Cheung, A. C. K., & Tian, M. (2025). The effects of artificial intelligence-based interactive scaffolding on secondary students’ speaking performance, goal setting, self-evaluation, and motivation in informal digital learning of English. Interactive Learning Environments, 33(7), 4633–4652. https://doi.org/10.1080/10494820.2025.2470319 [Google Scholar] [Crossref]

56. Wang, W., & Li, Y. Z. (2024). International Generative Artificial Intelligence Education Application and Provincial Thinking. Open Education Research, 30, 37-44. [Google Scholar] [Crossref]

57. Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2023.1261955 [Google Scholar] [Crossref]

58. Wei, P., Wang, X., & Dong, H. (2023). The impact of automated writing evaluation on second language writing skills of Chinese EFL learners: A randomized controlled trial. Frontiers in Psychology, 14, 1249991. https://doi.org/10.3389/fpsyg.2023.1249991 [Google Scholar] [Crossref]

59. Xiaofan, W. (2025). Investigating the use of AI tools in English language learning. Contemporary Educational Technology, 17(2), ep578. DOI: 10.30935/cet.ep578 [Google Scholar] [Crossref]

60. Xuan, S. Y., & Yunus, M. M. (2023). Teachers’ attitude towards the use of Artificial Intelligence-based English language learning: A mini review. International Journal of Academic Research in Business & Social Sciences, 13(5), 793-800. http://dx.doi.org/10.6007/IJARBSS/v13-i5/16459 [Google Scholar] [Crossref]

61. Yuan, L. J. & Liu. X. J. (2025). The effect of artificial intelligence tools on EFL learners’ engagement, enjoyment, and motivation. Computers in Human Behaviour, 162, 108474. https://doi.org/10.1016/j.chb.2024.108474 [Google Scholar] [Crossref]

62. Zhang, K. (2025). Enhancing Critical Writing Through AI Feedback: A Randomized Control Study. Behavioral Sciences, 15(5), 600. https://doi.org/10.3390/bs15050600 [Google Scholar] [Crossref]

63. Zhang, P., & Tur, G. (2024). A systematic review of ChatGPT use in K‐12 education. European Journal of Education, 59(2), e12599. https://doi.org/10.1111/ejed.12599 [Google Scholar] [Crossref]

64. Zhang, Y., & Miao, Z. (2025). Enhancing EFL Learners' Engagement and Motivation Through Immersive Technologies: The Role of Artificial Intelligence, Augmented Reality, Virtual Reality, and Mobile Applications. European Journal of Education, 60(2), e70128. [Google Scholar] [Crossref]

65. Zheng, Y. D., & Stewart, N. (2024). Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT. Computers and Education: Artificial Intelligence, 6, 100223. https://doi.org/10.1016/j.caeai.2024.100223 [Google Scholar] [Crossref]

66. Zou, B., Liviero, S., Ma, Q., Zhang, W., Du, Y., & Xing, P. (2024). Exploring EFL learners’ perceived promise and limitations of using an artificial intelligence speech evaluation system for speaking practice. System, 126, 103497. DOI:10.1016/j.system.2024.103497 [Google Scholar] [Crossref]

67. Zulkarnain, N. S., & Yunus, M. M. (2023). Primary teachers’ perspectives on using artificial intelligence technology in English as a second language teaching and learning: A systematic review. International Journal of Academic Research in Progressive Education and Development, 12(2), 861-875. http://dx.doi.org/10.6007/IJARPED/v12-i2/17119 [Google Scholar] [Crossref]

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