Transforming Teacher Competence through ChatGPT: Designing Innovative and Effective Lesson Modules

  • Istiarsyah Istiarsyah Universitas Muhammadiyah Mahakarya Aceh, Bireuen, Aceh,  Indonesia
  • Maisura Maisura Universitas Muhammadiyah Mahakarya Aceh, Bireuen, Aceh,  Indonesia
  • Nurhabibah Nurhabibah Sekolah Tinggi Agama Islam Darul Hikmah, Meulaboh, Aceh,  Indonesia
  • Kumita Kumita Universitas Almuslim, Bireuen, Aceh,  Indonesia
  • Kamarullah Kamarullah Universitas Muhammadiyah Mahakarya Aceh, Bireuen, Aceh,  Indonesia

Abstract

This study investigates the potential of ChatGPT, an Artificial Intelligence (AI), to transform teacher competence and lesson design in a junior high school setting in Lhokseumawe, Indonesia. A quasi-experimental pre-test and post-test design was employed with 25 junior high school teachers from Ihyaaussunnah, Lhokseumawe, Aceh. These teachers were asked to utilize ChatGPT for various pedagogical tasks, including lesson planning, assessment design, and content creation. Pre- and post-test questionnaires assessed changes in teacher competence, while a rubric was used to evaluate the quality of lesson modules designed with ChatGPT. Results revealed significant improvements in all measured aspects of teacher competence, including pedagogical knowledge, technological proficiency, and confidence in using ChatGPT for instructional purposes. Lesson modules created with ChatGPT were rated highly across all evaluation criteria, indicating their effectiveness and alignment with modern pedagogical approaches. Qualitative feedback from teachers highlighted the time-saving benefits of ChatGPT, its ability to enhance creativity and personalize learning experiences, and its potential to spark new pedagogical approaches. However, some teachers reported initial challenges in formulating effective prompts and emphasized the need for ongoing support and training. This study provides valuable insights into the potential of ChatGPT to empower teachers and improve instructional design. However, the small sample size and context-specific nature of the findings limit generalizability. Further research is needed to explore the long-term impact of ChatGPT on teacher competence and student learning outcomes in diverse educational settings.

Keywords: chatGPT, artificial intelligence, teacher competence, lesson modules, professional development, educational technology

PDF Downloads

Download data is not yet available.
Published
2024-11-22
How to Cite:
Istiarsyah, I., Maisura, M., Nurhabibah, N., Kumita, K., & Kamarullah, K. (2024). Transforming Teacher Competence through ChatGPT: Designing Innovative and Effective Lesson Modules. Ideguru: Jurnal Karya Ilmiah Guru, 10(1), 505-513. https://doi.org/10.51169/ideguru.v10i1.1586
Section
Research Articles
Abstract viewed: 118 times
PDF downloaded: 58 times

References

Adeshola, I., & Adepoju, A. P. (2023). The opportunities and challenges of ChatGPT in education. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2023.2253858

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

Albadarin, Y., Saqr, M., Pope, N., & Tukiainen, M. (2024). A systematic literature review of empirical research on ChatGPT in education. Discover Education, 3(1), 60. https://doi.org/10.1007/s44217-024-00138-2

Alshahrani, A. (2023). The impact of ChatGPT on blended learning: Current trends and future research directions. International Journal of Data and Network Science, 7(4), 2029–2040. https://doi.org/10.5267/j.ijdns.2023.6.010

Ayala-Pazmiño, M. (2023). Artificial Intelligence in Education: Exploring the Potential Benefits and Risks. 593 Digital Publisher CEIT, 8(3), 892–899. https://doi.org/10.33386/593dp.2023.3.1827

Ayala, S. (2023). Case Story ChatGPT as a Universal Design for Learning Tool Supporting College Students with Disabilities. Educational Renaissance, 12, 22–41.

Baskara, F. X. R. (2024). A Theoretical Analysis of ChatGPT Integration in Flipped Classrooms to Enhance Personal Learning Space. 1(1), 1–12.

Biggs, J., & Tang, C. (2011). Teaching For Quality Learning At University. McGraw-Hill Education.

Bonwell, C. C., & Eison, J. A. (1991). Active Learning: Creating Excitement in the Classroom. ERIC Clearinghouse on Higher Education.

Borger, J. G., Ng, A. P., Anderton, H., Ashdown, G. W., Auld, M., Blewitt, M. E., Brown, D. V, Call, M. J., Collins, P., Freytag, S., Harrison, L. C., Hesping, E., Hoysted, J., Johnston, A., McInneny, A., Tang, P., Whitehead, L., Jex, A., & Naik, S. H. (2023). Artificial intelligence takes center stage: exploring the capabilities and implications of ChatGPT and other AI‐assisted technologies in scientific research and education. Immunology & Cell Biology, 101(10), 923–935. https://doi.org/10.1111/imcb.12689

CAST. (2018). Universal Design for Learning Guidelines (Version 2.2). CAST.

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

Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864

Grassini, S. (2023). Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692

Gregory, G. H., & Chapman, C. (2012). Differentiated Instructional Strategies: One Size Doesn′t Fit All. Corwin Press.

Guskey, T. R. (2003). How Classroom Assessments Improve Learning. Educational Leadership, 60(5), 6–11.

Ifinedo, A. (2020). This is a self-archived version of an original article . This version may differ from the original in pagination and typographic details . Copyright : Rights : Rights url : Computers & Education, 103760. https://doi.org/10.1016/j.compedu.2019.103760

Jauhiainen, J. S., & Guerra, A. G. (2023). Generative AI and ChatGPT in School Children’s Education: Evidence from a School Lesson. Sustainability, 15(18), 14025. https://doi.org/10.3390/su151814025

Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115

Jeon, J., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies, 28(12), 15873–15892. https://doi.org/10.1007/s10639-023-11834-1

Kamarullah, K., Nuraini, K., & Susanti, A. (2024). To use or not to use ChatGPT in abstracting? AI usage among lecturers. International Social Sciences and Humanities, 351–360. https://doi.org/10.32528/issh.v3i2.612

Kamarullah, K., Sarinauli, B., & Syahmidi, H. (2024). AI writing tools in the classroom: Investigating usage, challenges, and adaptations by rural English teachers. Premise: Journal of English Education, 13(3), 1015–1042. https://doi.org/10.24127/pj.v13i3.10914

Kelly, A., Sullivan, M., & Strampel, K. (2023). Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. Journal of University Teaching and Learning Practice, 20(6). https://doi.org/10.53761/1.20.6.12

Kim, J. (2024). Leading teachers’ perspective on teacher-AI collaboration in education. Education and Information Technologies, 29(7), 8693–8724. https://doi.org/10.1007/s10639-023-12109-5

Li, Y., Garza, V., Keicher, A., & Popov, V. (2019). Predicting High School Teacher Use of Technology: Pedagogical Beliefs, Technological Beliefs and Attitudes, and Teacher Training. Technology, Knowledge and Learning, 24(3), 501–518. https://doi.org/10.1007/s10758-018-9355-2

Lo, C. K. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410

Merrill, M. D. (2021). First Principles of Instruction Revisited (pp. 1–34). https://doi.org/10.1007/978-3-030-26248-8_56-1

Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record: The Voice of Scholarship in Education, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Muksalmina, M., Istiarsyah, I., Kamarullah, K., & Sabaruddin, S. (2024). How Effective is Differentiated Instruction Model for Special Needs Students ? Perspectives of Inclusive Teachers. Proceeding of International Conference on Special Education in South East Asia Region, 3, 220–231. https://doi.org/10.57142/picsar.v3i1.58

Oh, S. (2023). A study on the case of using ChatGPT: Learners’ perceptions in college liberal arts writing. The Korean Association of General Education, 17(3), 11–23. https://doi.org/10.46392/kjge.2023.17.3.11

Piaget, J. (1976). To Understand is to Invent: The Future of Education. Penguin Books.

Rasul, T., Nair, S., Kalendra, D., Robin, M., Santini, F. de O., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1), 41–56. https://doi.org/10.37074/jalt.2023.6.1.29

Reiser, R. A., & Dempsey, J. V. (2017). Trends and Issues in Instructional Design and Technology. Pearson.

Rogers, E. M. (1962). 17 - Rogers 1995 cap 6.pdf (p. 26).

Shulman, L. (1987). Knowledge and Teaching:Foundations of the New Reform. Harvard Educational Review, 57(1), 1–23. https://doi.org/10.17763/haer.57.1.j463w79r56455411

Siminto, Lisnawati, S. D., & Muharam, S. (2023). Teacher Professionalism Development Strategy through ChatGPT Support in the Context of Education Management. Journal of Contemporary Administration and Management (ADMAN), 1(3), 150–155. https://doi.org/10.61100/adman.v1i3.65

Sweller, J. (1988). Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

Tayan, O., Hassan, A., Khankan, K., & Askool, S. (2024). Considerations for adapting higher education technology courses for AI large language models: A critical review of the impact of ChatGPT. Machine Learning with Applications, 15, 100513. https://doi.org/10.1016/j.mlwa.2023.100513

Thanh, B. N., Vo, D. T. H., Nhat, M. N., Pham, T. T. T., Trung, H. T., & Xuan, S. H. (2023). Race with the machines: Assessing the capability of generative AI in solving authentic assessments. Australasian Journal of Educational Technology, 39(5), 59–81. https://doi.org/10.14742/ajet.8902

Tomlinson, C. A. (2001). How to Differentiate Instruction in Mixed-ability Classrooms. ASCD.

Tondeur, J., Aesaert, K., Prestridge, S., & Consuegra, E. (2018). A multilevel analysis of what matters in the training of pre-service teacher’s ICT competencies. Computers & Education, 122, 32–42. https://doi.org/10.1016/j.compedu.2018.03.002

Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: If you can’t beat them, join them. Journal of China Computer-Assisted Language Learning, 3(2), 258–262. https://doi.org/10.1515/jccall-2023-0008

Wiggins, G. P., & McTighe, J. (2005). Understanding by Design. ASCD.

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