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June 8, 2026
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Abstract

The era of Artificial Intelligence (AI) demands educators to transform from conventional teaching practices toward adaptive, technology-based smart classrooms. This community service activity aims to enhance the digital competence of teachers and lecturers in utilizing generative AI tools to design innovative and contextual learning media. The workshop was conducted online via Zoom, involving 24 educators from various educational institutions across Indonesia. The training covered three main platforms: Google Gemini for effective prompt engineering, NotebookLM for AI-based learning material management and synthesis, and the Magic Layer feature in Canva for interactive visual media development. The implementation method consisted of three stages: needs-based planning, an intensive 8-hour workshop, and evaluation and reflection using a satisfaction questionnaire. Evaluation results indicated very high participant satisfaction across all indicators, ranging from 89% to 96%, with acquisition of new knowledge scoring the highest (96%). Participants demonstrated significant improvement in technical, pedagogical, and collaborative dimensions, and exhibited a role shift from passive technology consumers to active creators of AI-based educational content. This activity proves that a practical, guided, and project-based workshop approach is effective in sustainably developing educators' digital competence in the era of digital transformation.

Keywords

Smart Classroom Teacher Digital Competence Artificial Intelligence NotebookLM Canva Learning Transformation

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How to Cite
Mawarni, S., Maenuddin Bustanil Syah, Nuraini Yusuf, Nur Eva Yanti, & Dedy Aswan. (2026). Workshop Transformasi Kelas Konvensional Ke Kelas Cerdas Guru Adaptif di Era Digital dan AI. LOSARI: Jurnal Pengabdian Kepada Masyarakat, 8(2), 225–234. https://doi.org/10.53860/losari.v8i2.618
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References

  1. Afnani, M. R., & Attalina, S. N. C. (2025). Studi Kesiapan Guru Dalam Mengintegrasikan Peran Teknologi Digital pada Pembelajaran Kurikulum Merdeka di Sekolah Dasar. Nusantara: Jurnal Pendidikan Indonesia, 5(2), 482–495. https://doi.org/10.62491/njpi.2025.v5i2-17
  2. Aljutaily, M. (2021). Prosodic correlates and pragmatic functions of the particle tʕayb in spoken Saudi Arabic. Journal of Language and Linguistic Studies, 17(4), 1932–1955. https://doi.org/10.52462/jlls.140
  3. Anis, M., Rahman, A., Prasetyo, O., Hadi Sutrisno, I., & Usman, U. (2025). Peningkatan Kompetensi Guru Melalui Pelatihan Media Pembelajaran Interaktif Berbasis Edpuzzle di SMA Negeri 3 Kejuruan Muda. Jurnal Pengabdian UntukMu NegeRI, 9(2), 223–228. https://doi.org/10.37859/jpumri.v9i2.9448
  4. Annisa Nur Azizah, Salma Azizah Azzahra, Annisa Wulandari, Ratri Dian Aprilia, & Safira Nur Sabillah. (2024). Tinjauan Literatur Tentang Tantangan Dan Peluang Profesi Guru Di Era Digital. Pandu: Jurnal Pendidikan Anak Dan Pendidikan Umum, 2(4), 56–64. https://doi.org/10.59966/pandu.v2i4.1356
  5. Darling-Hammond, L., Hyler, M., & Gardner, M. (2017). Effective Teacher Professional Development. https://doi.org/10.54300/122.311
  6. Google. (2024). NotebookLM: AI-powered research and writing assistant. Google DeepMind. Https://Notebooklm.Google.Com.
  7. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence In Education Promises and Implications for Teaching and Learning. The Center for Curriculum Redesign. http://bit.ly/AIED-BOOK
  8. Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
  9. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E.,
  10. Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … 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
  11. Kemendikbudristek. (2023). Rapor pendidikan Indonesia 2023: Refleksi dan transformasi sistem pendidikan nasional.
  12. Liu, K., Yao, J., Tao, D., & Yang, T. (2023). Influence of Individual-technology-task-environment Fit on University Student Online Learning Performance: The Mediating Role of Behavioral, Emotional, and Cognitive Engagement. Education and Information Technologies, 28(12), 15949–15968. https://doi.org/10.1007/s10639-023-11833-2
  13. OECD Digital Education Outlook 2023. (2023). OECD Publishing. https://doi.org/10.1787/c74f03de-en
  14. Mishara, P. (2024). The Ethical Implications of AI in Education: Privacy, Bias, and Accountability. Journal of Informatics Education and Research, 4(2). https://doi.org/10.52783/jier.v4i2.1827
  15. Savitri, F. A., & Ratri, D. P. (2025). Canva as a Creative Digital Learning Media for English Learning: A Student Perception Study. Didaktika: Jurnal Kependidikan, 14(2 Mei), 1811–1820. https://doi.org/10.58230/27454312.2184
  16. Selwyn, N. (2022). Education and technology: Key issues and debates (3rd ed.). Bloomsbury Academic.
  17. Suartama, I. K., Setyosari, P., Sulthoni, S., & Ulfa, S. (2019). Development of an Instructional Design Model for Mobile Blended Learning in Higher Education. International Journal of Emerging Technologies in Learning (IJET), 14(16), 4. https://doi.org/10.3991/ijet.v14i16.10633
  18. Tondeur, J., van Braak, J., Sang, G., Voogt, J., Fisser, P., & Ottenbreit-Leftwich, A. (2012). Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence. Computers & Education, 59(1), 134–144. https://doi.org/10.1016/j.compedu.2011.10.009
  19. Vidhani, N., & Mishra, E. (2024). Enhancing Work Efficiency through Digital Integration: A Study in Higher Education. Asian Journal of Management, 249–255. https://doi.org/10.52711/2321-5763.2024.00039
  20. White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., & Schmidt, D. C. (2023). A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. ArXiv, abs/2302.11382. https://api.semanticscholar.org/CorpusID:257079092
  21. 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
  22. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
  23. Zhu, Z., Wang, Z., & Bao, H. (2025). Using AI Chatbots in Visual Programming: Effect on Programming Self-Efficacy of Upper Primary School Learners. International Journal of Information and Education Technology, 15(1), 30–38. https://doi.org/10.18178/ijiet.2025.15.1.2215