The Impact of Artificial Intelligence (AI) on High School Lesson Planning

Authors

  • Rasul Ryondiart Department of English Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Surakarta 57169, Indonesia
  • Ahmad Maulana Department of English Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Surakarta 57169, Indonesia
  • Dicky Julian Nurcahyo Department of English Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Surakarta 57169, Indonesia

Keywords:

Artificial Intelligence, Classroom Management, Lesson Planning, Pre-Service English Teachers, AI Integration

Abstract

The rapid development of artificial intelligence (AI) has created new opportunities for improving teaching practices, particularly in classroom management and lesson planning. This study aims to examine pre-service English teachers’ perceptions of AI in classroom management and investigate the extent to which AI technologies are used in lesson planning. A qualitative research approach was employed to explore participants’ experiences, perceptions, benefits, challenges, and recommendations regarding AI-supported teaching. Data were collected through a semi-structured questionnaire consisting of open-ended questions and were analyzed thematically by identifying recurring patterns related to AI perceptions, experiences, applications, benefits, and challenges. The findings reveal that participants generally held positive perceptions of AI and viewed it as a useful tool for improving teaching efficiency, supporting classroom management, generating instructional materials, designing assessments, and providing personalized learning opportunities. AI was also perceived as useful for brainstorming lesson ideas, locating and adapting resources, developing differentiated materials, and creating engaging learning activities. However, the extent of AI use varied among participants. Some actively integrated AI tools into their teaching practices, whereas others remained cautious or had limited experience. Participants identified several challenges, including data privacy, algorithmic bias, accuracy and reliability of AI-generated feedback, reduced teacher–student interaction, and the risk of overreliance on technology. They also emphasized the importance of maintaining teacher autonomy and professional judgment. The study concludes that AI has considerable potential to support English language education when used responsibly and ethically. Continuous professional development, practical training, institutional support, and critical evaluation of AI-generated content are necessary to ensure that AI complements rather than replaces teachers’ pedagogical expertise and human interaction.

References

Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023). Ethical principles for artificial intelligence in K–12 education. Computers and Education: Artificial Intelligence, 4, 100131. https://doi.org/10.1016/j.caeai.2023.100131

Al-khresheh, M. H. (2024). Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching. Computers and Education: Artificial Intelligence, 6, 100218. https://doi.org/10.1016/j.caeai.2024.100218

Ayanwale, M. A., Adelana, O. P., Molefi, R. R., Adeeko, O., & Ishola, A. M. (2024). Examining artificial intelligence literacy among pre-service teachers for future classrooms. Computers and Education Open, 6, 100179. https://doi.org/10.1016/j.caeo.2024.100179

Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21, 4. https://doi.org/10.1186/s41239-023-00436-z

Bower, M., Torrington, J., Lai, J. W. M., Petocz, P., & Alfano, M. (2024). How should we change teaching and assessment in response to increasingly powerful generative artificial intelligence? Outcomes of the ChatGPT teacher survey. Education and Information Technologies, 29, 15403–15439. https://doi.org/10.1007/s10639-023-12405-0

ElSayary, A. (2024). An investigation of teachers’ perceptions of using ChatGPT as a supporting tool for teaching and learning in the digital era. Journal of Computer Assisted Learning, 40(3), 931–945. https://doi.org/10.1111/jcal.12926

Farazouli, A., Cerratto-Pargman, T., Bolander-Laksov, K., & McGrath, C. (2024). Hello GPT! Goodbye home examination? An exploratory study of AI chatbots’ impact on university teachers’ assessment practices. Assessment & Evaluation in Higher Education, 49(3), 363–375. https://doi.org/10.1080/02602938.2023.2241676

Foster, et al. (2025). Artificial intelligence in classroom management: A systematic review on educational purposes, technical implementations, and ethical considerations. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2025.100483

Go, B., Min, S., & Jeon, M. (2026). Making AI in education responsible: Classroom-ready ethical guidelines for teachers and students. AI and Ethics, 6, 337. https://doi.org/10.1007/s43681-026-01176-2

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kohnke, L., & Moorhouse, B. L. (2026). Principles of GenAI-assisted microlearning: Perspectives of pre-service language teachers. ELT Journal, 80(1), 148–159. https://doi.org/10.1093/elt/ccaf066

Lee, J., Hicke, Y., Yu, R., Brooks, C., & Kizilcec, R. F. (2024). The life cycle of large language models in education: A framework for understanding sources of bias. British Journal of Educational Technology, 55(5), 1982–2002. https://doi.org/10.1111/bjet.13505

Lee, S., & Song, K.-S. (2024). Teachers’ and students’ perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education. Computers and Education: Artificial Intelligence, 7, 100283. https://doi.org/10.1016/j.caeai.2024.100283

Li, M., & Li, X. (2026). Unveiling the impact of AI-oriented professional development on Chinese EFL teachers' pedagogical character formation. European Journal of Education, 61(2), e70605. https://doi.org/10.1111/ejed.70605

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084

Moorhouse, B. L. (2024). Beginning and first-year language teachers’ readiness for the generative AI age. Computers and Education: Artificial Intelligence, 6, 100201. https://doi.org/10.1016/j.caeai.2024.100201

Mustafa, M. Y., Tlili, A., Lampropoulos, G., Huang, R., Jandrić, P., Zhao, J., Salha, S., Xu, L., Panda, S., Kinshuk, López-Pernas, S., & Saqr, M. (2024). A systematic review of literature reviews on artificial intelligence in education (AIED): A roadmap to a future research agenda. Smart Learning Environments, 11, 59. https://doi.org/10.1186/s40561-024-00350-5

Petrucco, C., Favino, F., & 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, 15(2). https://doi.org/10.3280/ess2-2024oa18406

Rahimi, A. R., & Sevilla-Pavón, A. (2024). The role of ChatGPT readiness in shaping language teachers’ language teaching innovation and meeting accountability: A bisymmetric approach. Computers and Education: Artificial Intelligence, 7, 100258. https://doi.org/10.1016/j.caeai.2024.100258

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Shenoy, P., & Saarela, M. (2026). A critical review and actionable framework for integrating generative AI into teacher professional development. Discover Education, 5, 570. https://doi.org/10.1007/s44217-026-01579-7

Sun, Y., & Huang, Y. (2025). Exploring the role of generative AI in collaborative lesson planning for pre-service teachers. Journal of Computer Assisted Learning, 41(4), e70098. https://doi.org/10.1111/jcal.70098

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, 15. https://doi.org/10.1186/s40561-023-00237-x

Woolf, B. P. (2010). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.

Yan, L., Sha, L., Zhao, L., Li, Y., Martinez-Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2024). Practical and ethical challenges of large language models in education: A systematic scoping review. British Journal of Educational Technology, 55(1), 90–112. https://doi.org/10.1111/bjet.13370

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Published

2026-06-01

Issue

Vol. 1 No. 2 (2026)

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Articles

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Copyright (c) 2026 Rasul Ryondiart, Ahmad Maulana, Dicky Julian Nurcahyo

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