The Utilization of Artificial Intelligence (AI) in Lesson Planning by Millennial Teachers
Keywords:
Artificial Intelligence, Educational Technology, Lesson Planning, Millennial TeachersAbstract
The advancement of digital technology has fundamentally transformed the global educational landscape. One of the key innovations driving this transformation is the integration of Artificial Intelligence (AI) into various aspects of education, particularly in lesson planning. This study aims to analyze how millennial teachers utilize AI to design lesson plans that are effective, efficient, and adaptive to the needs of 21st-century learners. Using a descriptive qualitative approach through case studies conducted in several secondary schools, this research identifies the strategies employed by millennial teachers in adopting AI as a pedagogical tool. The findings reveal that millennial teachers actively use a variety of AI applications and platforms to analyze students' learning needs, develop personalized lesson plans, and conduct data-driven learning evaluations. In conclusion, AI functions not only as a support tool but also as a strategic partner in enhancing the quality of education and strengthening the teacher's role as an innovative learning facilitator.
References
Akour, I. A., Al-Maroof, R. S., Alfaisal, R., & Salloum, S. A. (2022). A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach. Computers and Education: Artificial Intelligence, 3, 100052. https://doi.org/10.1016/j.caeai.2022.100052
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3
Clark, S. K., & Byrnes, D. (2015). What Millennial Preservice Teachers Want to Learn in Their Training. Journal of Early Childhood Teacher Education, 36(4), 379–395. https://doi.org/10.1080/10901027.2015.1100148
Cohen, D. K. (1987). Educational Technology, Policy, and Practice. Educational Evaluation and Policy Analysis, 9(2), 153–170. https://doi.org/10.3102/01623737009002153
Damayanti, S. (2020). RELEVANCY THE COMPONENTS OF THE ENGLISH LESSON PLAN. ENGLISH JOURNAL, 12(2), 68. https://doi.org/10.32832/english.v12i2.3772
Derri, V., Papamitrou, E., Vernadakis, N., Koufou, N., & Zetou, E. (2014). Early Professional Development of Physical Education Teachers: Effects on Lesson Planning. Procedia - Social and Behavioral Sciences, 152, 778–783. https://doi.org/10.1016/j.sbspro.2014.09.320
Effect of Lesson Planning on Academic Performance: Evidence from the Elementary Level Classroom. (2024). Pakistan Social Sciences Review, 8(I). https://doi.org/10.35484/pssr.2024(8-I)15
Ely, D. P. (1990). Conditions that Facilitate the Implementation of Educational Technology Innovations. Journal of Research on Computing in Education, 23(2), 298–305. https://doi.org/10.1080/08886504.1990.10781963
Fetzer, J. H. (1990). What is Artificial Intelligence? Dalam J. H. Fetzer, Artificial Intelligence: Its Scope and Limits (Vol. 4, hlm. 3–27). Springer Netherlands. https://doi.org/10.1007/978-94-009-1900-6_1
Fujii, T. (2019). Designing and Adapting Tasks in Lesson Planning: A Critical Process of Lesson Study. Dalam R. Huang, A. Takahashi, & J. P. Da Ponte (Ed.), Theory and Practice of Lesson Study in Mathematics (hlm. 681–704). Springer International Publishing. https://doi.org/10.1007/978-3-030-04031-4_33
Gagné, R. M. (1974). Educational Technology and the Learning Process. Educational Researcher, 3(1), 3–8. https://doi.org/10.3102/0013189X003001004
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. https://doi.org/10.3390/educsci13121216
Granić, A. (2022). Educational Technology Adoption: A systematic review. Education and Information Technologies, 27(7), 9725–9744. https://doi.org/10.1007/s10639-022-10951-7
Hallman, H. L. (2017). Millennial teachers and multiculturalism: Considerations for teaching in Uncertain Times. Journal for Multicultural Education, 11(3), 194–205. https://doi.org/10.1108/JME-10-2016-0055
Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, S36–S40. https://doi.org/10.1016/j.metabol.2017.01.011
Hatmanto, E. D., & Purwanti, E. (2020). Strategies in Teaching and Engaging the Millennial Generation. International Journal of Language Education and Applied Linguistics, 81–88. https://doi.org/10.15282/ijleal.v10.3945
Holmes, J. H., Bellazzi, R., Sacchi, L., & Peek, N. (Ed.). (2015). Artificial Intelligence in Medicine: 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings (Vol. 9105). Springer International Publishing. https://doi.org/10.1007/978-3-319-19551-3
Huynh-The, T., Pham, Q.-V., Pham, X.-Q., Nguyen, T. T., Han, Z., & Kim, D.-S. (2023). Artificial intelligence for the metaverse: A survey. Engineering Applications of Artificial Intelligence, 117, 105581. https://doi.org/10.1016/j.engappai.2022.105581
Issroff, K., & Scanlon, E. (2002). Educational Technology: The Influence of Theory. Journal of Interactive Media in Education, 2002(1), 6. https://doi.org/10.5334/2002-6
Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2(1), 4. https://doi.org/10.1007/s44163-022-00022-8
John, P. D. (2006). Lesson planning and the student teacher: Re‐thinking the dominant model. Journal of Curriculum Studies, 38(4), 483–498. https://doi.org/10.1080/00220270500363620
Kopp, M. L., Witte, C. E., & Vernon, G. M. (2025). A lesson plan for planning lessons. Teaching and Learning in Nursing, 20(1), e43–e47. https://doi.org/10.1016/j.teln.2024.07.024
Mäkinen, M., Linden, J., Annala, J., & Wiseman, A. (2018). Millennial generation preservice teachers inspiring the design of teacher education. European Journal of Teacher Education, 41(3), 343–359. https://doi.org/10.1080/02619768.2018.1448776
Marrero Galván, J. J., Negrín Medina, M. Á., Bernárdez-Gómez, A., & Portela Pruaño, A. (2023). The impact of the first millennial teachers on education: Views held by different generations of teachers. Education and Information Technologies, 28(11), 14805–14826. https://doi.org/10.1007/s10639-023-11768-8
Millennial vs Non-Millennial Teachers: Understanding the Ongoing Battle Occurring in Classrooms Around the World. (2019). Journal of Business Diversity, 19(3). https://doi.org/10.33423/jbd.v19i3.2216
Minsky, M. (1961). Steps toward Artificial Intelligence. Proceedings of the IRE, 49(1), 8–30. https://doi.org/10.1109/JRPROC.1961.287775
Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445–8501. https://doi.org/10.1007/s10639-022-11491-w
Raynesa Noor Emiliasari. (2019). Lesson Planning in EFL Classroom: A Case Study in Lesson Plan Preparation and Implementation. Wiralodra English Journal, 3(2), 367–375. https://doi.org/10.31943/wej.v3i2.67
Society for Information Technology and Teacher Education (with Association for the Advancement of Computing in Education). (2009). Society for Information Technology & Teacher Education 2009 20th international conference: March 2 - 6, 2009, Charleston, South Carolina, USA (I. Gibson, Ed.). AACE.
Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q.-L., & Tang, Y. (2023). A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122–1136. https://doi.org/10.1109/JAS.2023.123618
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mirjana Kocaleva Vitanova, Mulia Sri Huljanah Huljanah, Musthika Wulandary (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
