Artificial Intelligence in Education: In-Service Teachers’ Experiences of Using ChatGPT for Generating Lesson Plans
DOI:
https://doi.org/10.46328/ijres.7071Keywords:
Artificial intelligence, In-service teachers, ChatGPT, Lesson plans, EducationAbstract
This study was conducted to explore in-service teachers’ experiences of using Chat Generative Pre-trained Transformer (ChatGPT) for generating lesson plans. Fifteen in-service teachers from an online graduate technology course at a university in the south participated in the study. Participants were required to generate a lesson plan using ChatGPT based on a curriculum standard of their choice. They were also required to compare the Artificial Intelligence (AI) generated lesson plan with the one they had created on their own using the same curricular standard without using AI. To reflect on their experiences participants were required to respond to an open-ended Google questionnaire. Data was analyzed step-by-step starting from assigning codes, categorizing the codes, and developing themes. The themes suggest that comparing the ChatGPT-generated lesson plan with the teacher-generated lesson plan allowed participants to gain a deeper understanding of how to use ChatGPT effectively to generate lesson plans. Findings also focus on some concerns regarding the use of ChatGPT in generating lesson plans.
References
Adil, J. J. (2025). AI in education: A systematic literature review of emerging trends, benefits, and challenges. Seminars in Medical Writing and Education, 4, 795. https://doi.org/10.56294/mw2025795.
Ajose, S. T., Apata, O. E., Saidu, G. O., & Orobator, E. S. (2026). Exploring teachers’ awareness and perceptions of ChatGPT in K–12 STEM education. International Journal of Technology in Education, 9(1), 260-278. https://doi.org/10.46328/ijte.5077
Akanzire, B. N., Nyaaba, M., & Nabang, M. (2025). Generative AI in teacher education: Teacher educators’ perception and preparedness. Journal of Digital Educational Technology, 5(1), ep2508. https://doi.org/10.30935/jdet/15887
Alasgarova, R., & Rzayev, J. (2024). The role of artificial intelligence in shaping high school students’ motivation. International Journal of Technology in Education and Science, 8(2), 311–324. https://doi.org/10.46328/ijtes.553
Ayanwale, M. A., Frimpong, E.K., Opesemowo O. A. G., & Sanusi, I. T. (2024). Exploring factors that support pre-service teachers’ engagement in learning artificial intelligence. Journal for STEM Education Research 8(2), 199-229.
Azaria, A., Azoulay, R., & Reches, S. (2024). ChatGPT is a remarkable tool—for experts. Data Intelligence, 6(1), 240-296.
Bayly-Castaneda, K., Ramirez-Montoya, M. S., & Morita-Alexander, A. (2024). Crafting personalized learning paths with AI for lifelong learning: A systematic literature review. Frontiers in Education, 9. https://doi.org/ 10.3389/feduc.2024.1424386
Bice, H., & Tang, H. (2022). Teachers' beliefs and practices of technology integration at a school for students with dyslexia: A mixed methods study. Education and Information Technologies, 27(7), 10179–10205. https://doi.org/10.1007/s10639-022-11044-1
Boubker, O. (2024). From chatting to self-educating: Can AI tools boost student learning outcomes?. Expert Systems with Applications, 238, 121820.
Chandrasekaran, B., & Nair, S. G. S. (2024). Unleashing the potential of ChatGPT in education: Revolutionizing learning and collaboration. IEEE Potentials, 43 (6) 13-22, doi: 10.1109/MPOT.2024.3449257
Cheah, Y. H., & Kim, J. (2025). STEM teachers' perceptions, familiarity, and support needs for integrating generative artificial intelligence in K‐12 education. School Science and Mathematics. https://doi.org/10.1111/ssm.18334
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255–284. https://doi.org/10.1080/15391523.2010.10782551
Fernández-Cerero, J., Pérez-González, A., & Domínguez-González, M. (2025). ChatGPT as a digital tool in the transformation of digital teaching competence: A systematic review. Technologies, 13(5), 205. https://doi.org/10.3390/technologies13050205
Fortuna, A., Prasetya, F., Samala, A. D., Rawas, S., Criollo-C, S., Kaya, D., & Nabawi, R. A. (2025). Artificial intelligence in personalized learning: A global systematic review of current advancements and shaping future opportunities. Social Sciences & Humanities Open, 12, 102114.
Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216.
Isiaku, L., Muhammad, A. S., Kefas, H. I., & Ukaegbu, F. C. (2024). Enhancing technological sustainability in academia: Leveraging ChatGPT for teaching, learning and evaluation. Quality Education for All, 1(1), 385-416.
Kiryakova, G., & Angelova, N. (2023). ChatGPT— challenging tools for the university professors in their teaching practice. Education Sciences, 13(10), 1056.
Klimova, B., & Pikhart, M. (2025). Exploring the effects of artificial intelligence on student and academic well-being in higher education: A mini-review. Frontiers in Psychology, 16, 1498132.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Beverly Hills, CA: Sage Publications, Inc.
Luo, Z., & Tahir, R. (2025). ChatGPT-Assisted lesson planning for children’s STEAM Arts Education: An experimental study on benefits, challenges, methods, and a prompt framework. International Journal of Artificial Intelligence in Education, 1-50.
Merino-Campos, C. (2025). The impact of artificial intelligence on personalized learning in higher education: A systematic review. Trends in Higher Education, 4(2), 17.
Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
Noroozi, O., Soleimani, S., Farrokhnia, M., & Banihashem, S.K. (2024). Generative AI in education: Pedagogical, theoretical, and methodological perspectives. International Journal of Technology in Education, 7(3), 373-385. https://doi.org/10.46328/ijte.845
Ogurlu, U., & Mossholder, R. (2023). Educators’ perceptions of ChatGPT in education. Research in Educational Administration & Leadership, 8(4), 1189–1215. https://doi.org/10.30828/real/2023.4.9
Okaiyeto, S. A., Bai, J., & Xiao, H. (2023). Generative AI in education: To embrace it or not?. International Journal of Agricultural and Biological Engineering, 16(3), 285–286. https://doi.org/10.25165/j.ijabe.20231603.8486
Parra, J. A. B., Escobar, Á. E. S., & Martínez, A. P. P. (2024). Artificial intelligence in education: Benefits, challenges, and ethical considerations according to scientific evidence. Journal of International Crisis and Risk Communication Research, 7(S5), 48-65. https://doi.org/10.63278/jicrcr.vi.606
Qi, K. (2025). Teacher perceptions and readiness for integrating AI-powered learning platforms into Chinese classroom practice. Uniglobal Journal of Social Sciences and Humanities, 4(2), 161–167. https://doi.org/10.53797/ujssh.v4i2.19.2025
Riggs, V. (2025). Teachers' perceptions and readiness for AI integration in under-resourced K-12 classrooms. Journal of Research Initiatives, 9(1), 1.
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639-653.
Utami, S. P. T., Andayani, Winarni, R., & Sumarwati. (2023). Utilization of artificial intelligence technology in an academic writing class: How do Indonesian students perceive? Contemporary Educational Technology, 15(4), ep450. https://doi.org/10.30935/cedtech/13419
Vashista, N., Gugnani, P., Bala, M., & Kumar, A. (2023). The Educator's Lens: Understanding the impact of AI on management education. International Journal of Education and Development using Information and Communication Technology, 19(3), 9–27.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education -where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27.
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