Cross-cultural perspectives on AI-enhanced teacher education: Insights from a student mobility programme at IPG Batu Lintang, Malaysia
DOI:
https://doi.org/10.31571/saintek.v15i1.11230Keywords:
artificial intelligence, learning media, academic mobility, teacher education, cross-cultural learningAbstract
This study explored artificial intelligence (AI)-based teacher education practices observed during an academic mobility program at the Institute of Teacher Education (IPG) Batu Lintang, Sarawak, Malaysia, and interpreted their implications for the development of teacher education in Indonesia. A qualitative approach with an exploratory case study design was employed. Data were collected through non-participant observation, analysis of activity documents, and examination of learning artifacts, and were then analyzed using six-phase thematic analysis. The results showed that AI was positioned as a core component of learning design through the integration of six platforms, namely Gemini AI, Canva AI, Suno AI, NotebookLM, Bitable AI, and CapCut AI, which were used to produce multimodal media in the form of infographics, posters, songs, audio, simulations, and learning videos linked to the Content Standards (Standard Content) of the DSKP. This product-based practice strengthens the digital literacy and creativity of prospective teachers, while the mobility program served as a means of transferring good practices across cultures. The findings suggest that AI integration in teacher education in Indonesia should be positioned as part of pedagogical transformation rather than merely a technical skill.
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References
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3 (2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Byrne, D. (2022). A worked example of Braun and Clarke's approach to reflexive thematic analysis. Quality & Quantity, 56 (3), 1391–1412. https://doi.org/10.1007/s11135-021-01182-y
Damanik, PCIC, Jayanti, FD, Uli, AA, Husaeni, RA, & Chaled, MI (2025). Digital citizenship education in the era 5.0: Integrating artificial intelligence in Indonesian educational context. JIMU: Journal Multidisciplinary Science, 3 (4), 1895–1906. https://doi.org/10.70294/jimu.v3i04.1579
Gamlem, S. M., McGrane, J., Brandmo, C., Moltudal, S., Sun, S. Z., & Hopfenbeck, T. N. (2025). Exploring pre-service teachers' attitudes and experiences with generative AI: A mixed methods study in Norwegian teacher education. Educational Psychology. Advance online publication. https://doi.org/10.1080/01443410.2025.2528663
Luo, J., Zheng, C., Yin, J., & Teo, H.H. (2025). Design and assessment of AI-based learning tools in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 22 (1), Article 42. https://doi.org/10.1186/s41239-025-00540-2
MacDowell, P., Moskalyk, K., Korchinski, K., & Morrison, D. (2024). Preparing educators to teach and create with generative artificial intelligence. Canadian Journal of Learning and Technology, 50 (4), 1–23. https://doi.org/10.21432/cjlt28606
Mukhlis, S., Setiawan, B., Ruwaida, GA, Zulela, MS, Febriyani, EN, & Listiani, ME (2025). Training introduction of Artificial Intelligence (AI) to the project strengthening profile Pancasila students for increase Teacher Competence in Digital Transformation in DKI Jakarta. Initiative: Journal Dedication Community Service, 4 (1), 34–51. https://doi.org/10.61227/inisiatif.v4i1.444
Ng, DTK, Leung, JKL, Su, J., Ng, RCW, & Chu, SKW (2023). Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71 (1), 137–161. https://doi.org/10.1007/s11423-023-10203-6
Panday-Shukla, P. (2025). Exploring generative artificial intelligence in teacher education. Teaching and Teacher Education, Article 105088. https://doi.org/10.1016/j.tate.2025.105088
Przytuła, S., Barzykowski, K., Cassar, V., & Szymańska- Czaplak , E. (2024). Developing cross-cultural competence of students through short-term international mobility program. International Journal of Training and Development, 28 (2), 169–188. https://doi.org/10.1111/ijtd.12315
Wu, D., & Zhang, J. (2025). Generative artificial intelligence in secondary education: Applications and effects on students' innovation skills and digital literacy. PLOS ONE, 20 (5), Article e0323349. https://doi.org/10.1371/journal.pone.0323349
Zalisman. (2025). The artificial intelligence knowledge on digital literacy of teaching competence among Islamic education teachers. POTENTIA: Journal Islamic Education, 11 (1), 1–18. https://doi.org/10.24014/potensia.v11i1.36936
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