EFL Teachers' Engagement and Perceptions of Integrating Gemini AI for Professional Development
DOI:
https://doi.org/10.24256/ideas.v14i1.10910Keywords:
EFL Teachers; Gemini AI; Professional Development; Teaching Modules; TPACKAbstract
The rapid evolution of generative artificial intelligence (AI) has necessitated a shift in teacher professional development. However, a significant gap remains in understanding how language educators in traditional Islamic secondary schools navigate technological adoption amidst demanding administrative workloads. This study aimed to investigate EFL teachers' engagement—defined operationally through their behavioral prompt iterations and cognitive commitment—and their perceptions of integrating Gemini AI for professional development at a public Islamic high school (MAN) in Medan. Employing a descriptive qualitative approach, data were collected through methodological triangulation, including non-participant observations, semi-structured interviews, and artifact analysis of teaching modules produced by five purposively selected English teachers. The results indicated a high level of behavioral and cognitive engagement, where the application of Gemini AI reduced teaching module development time by approximately 80%. This figure was determined by comparing the teachers' average manual drafting time of 3 to 4 hours against the AI-assisted completion time of under 45 minutes. Furthermore, the integration enhanced the pedagogical quality of enrichment materials and student worksheets (LKPD) through Higher-Order Thinking Skills (HOTS) alignment. Despite initial technology-related anxiety among senior educators, participants perceived Gemini AI as an efficient supportive tool that minimizes administrative burdens and fosters instructional creativity. The study concludes that while Gemini AI effectively streamlines the structural implementation of the Independent Curriculum (Kurikulum Merdeka) in a Madrasah context, tailored peer-mentoring remains vital to address the intergenerational digital divide. These findings imply that structured AI integration can successfully enhance lesson-planning efficiency while respecting local educational structures.
References
Anderson, N., et al. (2023). Artificial Intelligence in Language Learning: Developing High-Order Thinking Skills through Generative Tools. Journal of Educational Technology, 15(2), pp. 112-125. https://doi.org/10.1016/jedutech.2023.01.005
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI in Education Research, 7(1), pp. 45-62. https://dx.doi.org/10.2139/ssrn.4337484
Bria, M. E., et al. (2024). Intergenerational Digital Divide: Challenges for Senior Teachers in Adopting AI Tools. International Journal of Teacher Development, 12(1), pp. 88-102. http://journal.uniyap.ac.id/index.php/ijtd/article/view/1245
Chai, C. S., et al. (2023). Future of AI in Teacher Education: A Framework for AI-Human Collaboration. Educational Research Review, 20(3), pp. 210-225. https://doi.org/10.1016/j.edurev.2023.100537
Chassignol, M., et al. (2018). Artificial Intelligence Trends in Education: A Narrative Review. Procedia Computer Science, 127, pp. 16-25. https://doi.org/10.1016/j.procs.2018.01.103
Dwivedi, Y. K., et al. (2023). "So what if AI wrote it?" The Impact of Generative AI on Education and Research. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Gimpel, H., et al. (2023). Unlocking the Power of Generative AI: A Guide for Educators. Journal of Digital Transformation, 5(2), pp. 15-30. https://arxiv.org/abs/2303.07574
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
Holmes, W., et al. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Paris: UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000370308
Hwang, G. J., et al. (2020). Vision, Issues and Challenges of AI in Education: From Developing AI Applications to Critical Thinking. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
Kasneci, E., et al. (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
Koehler, M. J., & Mishra, P. (2009). What is Technological Pedagogical Content Knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), pp. 60-70. https://citejournal.org/volume-9/issue-1-09/general/what-is-technological-pedagogical-content-knowledge
Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education in the 21st Century. London: UCL Press. https://www.uclpress.co.uk/products/109539
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How May AI and GPT Impact Academia and Libraries? Journal of Academic Librarianship, 49(3), 102684. https://doi.org/10.1016/j.acalib.2023.102684
Maderer, J. (2023). Human-AI Collaboration: Reshaping the Educational Landscape. Journal of Innovative Pedagogy, 18(4), pp. 301-315. https://doi.org/10.1111/jip.12845
Molenaar, I. (2022). Personalized Learning with AI: From Theory to Practice. Journal of Learning Analytics, 9(2), pp. 55-68. https://doi.org/10.18608/jla.2022.7391
Naufal, H., et al. (2024). Evaluation of Teacher Satisfaction in AI-Based Training Programs. Journal of Educational Evaluation, 11(2), pp. 134-148. http://journal.uncp.ac.id/index.php/ethicallingua/article/view/1204
Nurharyanto, S., et al. (2023). Developing Teaching Modules for Kurikulum Merdeka: Identifying Common Obstacles. Indonesian Journal of Curriculum Studies, 10(1), pp. 44-58. http://ejournal.upi.edu/index.php/CURRICULA/article/view/55321
Pawartani, A., & Suciptaningsih, O. (2024). The Readiness of Teachers in Implementing Kurikulum Merdeka: A Case Study in Madrasahs. Journal of Islamic Education, 12(3), pp. 215-230. https://doi.org/10.15575/jpi.v12i3.28450
Pratiwi, N., & Dewi, R. (2024). Enhancing Teacher Professionalism through TPACK Literacy. Journal of Teacher Competency, 6(1), pp. 10-25. https://doi.org/10.31004/obsesi.v6i1.1243
Puspita, D., et al. (2023). The Utilization of Gemini AI for Learning Quality Enhancement in Medan Islamic Schools. Journal of Digital Madrasah, 4(2), pp. 112-126. http://jurnal.uinsu.ac.id/index.php/digitalmadrasah/article/view/9982
Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(2), pp. 582-599. https://doi.org/10.1007/s40593-016-0110-3
Schmidt, M., & Huang, R. (2022). Digital Efficiency in Teacher Workload Management: A Global Perspective. Journal of Educational Administration, 14(3), pp. 156-170. https://doi.org/10.1108/JEA-01-2022-0045
Siemens, G. (2005). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning, 2(1), pp. 3-10. http://www.itdl.org/Journal/Jan_05/article01.htm
Taufik, M., & Rindaningsih, I. (2024). ICT Literacy and TPACK-Based Learning Approaches in Secondary Schools. Journal of Modern Education, 8(2), pp. 77-92. https://doi.org/10.21070/picecrs.v8i2.1542
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Luxembourg: Publications Office of the European Union. https://doi.org/10.2760/12297
Ulimaz, A., et al. (2024). The Rise of Artificial Intelligence in Education: Adaptive and Personalized Learning Techniques. Journal of Future Education, 5(1), pp. 1-18. https://doi.org/10.31004/joe.v5i1.2341
Wati, L., & Nurhasannah, S. (2024). Teachers' Role as Learning Facilitators in the Digital Age. Journal of Pedagogy and Teacher Education, 9(1), pp. 102-115. http://journal.uncp.ac.id/index.php/ethicallingua/article/view/2344
Zhai, X., et al. (2021). A Review of AI in Education: The Role of Generative Models. Frontiers in Education, 6, 678660. https://doi.org/10.3389/feduc.2021.678660
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