Exploring The Influence of Artificial Intelligence Tools on Creative Lesson Planning Among Preschool Teachers in Selangor

This study investigates the role of Artificial Intelligence (AI) tools in enhancing teachers’ creativity in lesson planning within early childhood education (ECE) settings in Selangor, Malaysia. While AI applications such as ChatGPT, Canva AI, and lesson plan generators are increasingly used in global education, limited research has explored their impact on teacher practices in Malaysian preschools. Using a qualitative research design, data were collected through semi-structured interviews with ten preschool teachers representing diverse teaching experiences and institutional settings. The findings reveal that AI tools support teachers by saving time, generating fresh ideas, and enabling differentiated instruction for mixed-ability learners. However, challenges include concerns about age appropriateness, curriculum alignment, cultural relevance, and potential over-reliance on technology. Despite these challenges, teachers emphasized maintaining professional autonomy, viewing AI as a supportive assistant rather than a replacement for creativity. The study concludes that AI holds promise in reducing workload and inspiring innovative lesson activities, but its effectiveness depends on teachers’ ability to review, adapt, and contextualize AI-generated content. The results provide practical implications for teacher training, curriculum design, and policy development, while also highlighting the need for further research on inclusive AI tools tailored to the Malaysian preschool context.

Artificial Intelligence, AI Tools, Lesson Planning, Preschool Teachers

1. Ahn, J., Park, S., & Kim, H. (2024). AI applications in early childhood classrooms: Opportunities and challenges.Early Childhood Research Quarterly, 59,123–134. https://www.sciencedirect.com/science/article/abs/pii/S0885200623001266?via% 3Dihub [Google Scholar] [Crossref]

2. Amabile, T. M. (2023). Componential theory of creativity (Updated ed.). Oxford University Press. Belloula, S. (2025). Empowering Educators: Leveraging AI to Revolutionize Lesson Planning. International Journal of Research in Education and Science, 11(2), 264-280. [Google Scholar] [Crossref]

3. Bonner, C., Harris, J., & Lee, S. (2023). Exploring AI-assisted lesson planning for inclusive education. International Journal of Educational Technology, 12(2), 45–59. https://www.sciencedirect.com/science/article/pii/S2666920X2400078X [Google Scholar] [Crossref]

4. Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications. [Google Scholar] [Crossref]

5. Cardona, G., Lim, M., & Tan, K. (2023). Teachers’ readiness for AI integration in preschool education. Asia-Pacific Education Review, 24(1), 33–47. https://www.sciencedirect.com/science/article/pii/S2666920X22000546 [Google Scholar] [Crossref]

6. Carter, R. (2021). Artificial intelligence and special education: Exploring inclusivity and accessibility. Journal of Special Educational Technology, 36(4), 289–304. https://doi.org/10.1177/01626434211020765 [Google Scholar] [Crossref]

7. Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. [Google Scholar] [Crossref]

8. Chai, C. S., Koh, J. H. L., & Teo, Y. H. (2021). Enhancing teachers’ technological pedagogical content knowledge (TPACK): A critical review. Australasian Journal of Educational Technology, 37(4), 88–103. https://doi.org/10.14742/ajet.6696 [Google Scholar] [Crossref]

9. Chen, L., Zhang, Y., & Xu, Q. (2022). AI-enhanced personalized learning in secondary education: Opportunities and challenges. Computers & Education, 187, 104636. https://doi.org/10.1016/j.compedu.2022.104636 [Google Scholar] [Crossref]

10. Chen, L., Zhang, Y., & Xu, Q. (2023). AI-enhanced personalized learning in early childhood education. Educational Technology & Society, 26(1), 1–14. https://www.j-ets.net/ets/journals/26_1/1.pdf [Google Scholar] [Crossref]

11. David, M. K., Irfan, H., & Tahir, S. R. (2025). Using Sindhi in universities to develop Sindhi identity and culture. International Premier Journal of Languages & Literature, 3(2), 615–633. [Google Scholar] [Crossref]

12. Etikan, I., Musa, S. A., & Alkassim, R. S. (2021). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20210501.11 [Google Scholar] [Crossref]

13. Haron, H., Rahman, N. A., & Ismail, N. (2022). WhatsApp as a tool for qualitative research data collection in education studies. Malaysian Journal of Learning and Instruction, 19(2), 135–150. https://doi.org/10.32890/mjli2022.19.2 [Google Scholar] [Crossref]

14. Kilickaya, F. (2023). Artificial intelligence in education: A systematic review. Computers & Education,190,04607. https://www.sciencedirect.com/science/article/pii/S0360131522001786?via%3Dihub [Google Scholar] [Crossref]

15. Lee, H. (2021). Ensuring age-appropriateness in AI-generated educational content. Early Childhood Education Journal, 49(6), 963–974. https://doi.org/10.1007/s10643-021-01190-8 [Google Scholar] [Crossref]

16. Lee, J., & Wong, M. (2022). Artificial intelligence and teacher creativity in lesson design. Teaching and Teacher Education, 114, 103716. https://www.sciencedirect.com/science/article/abs/pii/S0742051X22000907?via%3Dihub [Google Scholar] [Crossref]

17. Mishra, P., & Koehler, M. J. (2022). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 124(1), 1–30. https://doi.org/10.1177/01614681221012401 [Google Scholar] [Crossref]

18. Nair, S. M., Tahir, S. R., Jopius, A. A., & Govindarajoo, M. V. V. (2025). The impact of play-based learning in teaching English to preschoolers in Kota Kinabalu, Sabah, Malaysia. International Journal of Innovative [Google Scholar] [Crossref]

19. Research and Scientific Studies, 8(7), 727–737. https://doi.org/10.53894/ijirss.v8i7.10530 [Google Scholar] [Crossref]

20. Puentedura, R. R. (2021). Transformation, technology, and education: The SAMR model. Journal of Educational Computing Research, 59(8), 1546–1564. https://doi.org/10.1177/07356331211021599 [Google Scholar] [Crossref]

21. Trust, T. (2022). Integrating the SAMR model into teacher professional development. Journal of Technology and Teacher Education, 30(2), 123–140. https://www.learntechlib.org/primary/p/220635/ [Google Scholar] [Crossref]

22. Walton Family Foundation. (2024). The state of AI in education. Education Insights Report. https://www.waltonfamilyfoundation.org/stories/education/the-state-of-ai-in-education [Google Scholar] [Crossref]

23. Wang, Y., & Lai, C. (2021). Examining the use of artificial intelligence in language learning in higher education. Language Learning & Technology, 25(3), 28–43. https://www.lltjournal.org/item/3346 [Google Scholar] [Crossref]

24. Woolf, B. P., & Silver, C. (2022). Using NVivo for educational research: A guide for qualitative data analysis. International Journal of Qualitative Methods, 21, 1– [Google Scholar] [Crossref]

25. 13. https://doi.org/10.1177/16094069221100947 [Google Scholar] [Crossref]

26. Yadav, S. (2025). Leveraging AI to enhance teaching and learning in education: The role of artificial intelligence in modernizing classroom practices. In Optimizing research techniques and learning strategies with digital technologies (pp. 211-238). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

27. Yusof, N., & Hamid, M. (2023). Technology integration in Malaysian preschools: Challenges and opportunities. Malaysian Journal of Learning and Instruction, 20(1),45–60.https://e-journal.uum.edu.my/index.php/mjli/article/view/14921/3884 [Google Scholar] [Crossref]

28. Zhou, J., & Hoever, I. J. (2022). Research on workplace creativity: A review and redirection. Annual Review of Organizational Psychology and Organizational Behavior, 9, 259–289. https://doi.org/10.1146/annurev-orgpsych-012420-091317 [Google Scholar] [Crossref]

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