Optimizing Deep Learning: Workshop on Improving Teacher Capacity in the Application of Artificial Inteligent (AI) and Coding at SDIT Mafatih
Article Sidebar
Main Article Content
Abstract
The integration of Coding and Artificial Intelligence (AI) in elementary education faces significant challenges, particularly regarding teacher readiness and infrastructure. SDIT Mafatih teachers often perceive Computational Thinking (CT) solely as a programming activity, overlooking its core pillars: decomposition, pattern recognition, abstraction, and algorithms. This community service program aims to enhance teacher capacity at SDIT Mafatih through a structured four-stage approach: a basic CT workshop emphasizing unplugged activities, provision of basic digital infrastructure, development of an integrative curriculum guide, and progressive Scratch training. The program utilized a participatory method involving 23 participants, supported by the provision of tablets and projectors. Results indicated a significant improvement in teacher competency, with average initial knowledge scores reaching 79.9% of the maximum. The activities successfully produced integrative lesson plans and digital learning modules, demonstrating an effective model for digital transformation in resource-limited educational settings.
Article Details
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
References
[1] G. P. Nobre, C. H. G. Ferreira, C. H. G. Ferreira, and J. M. Almeida, “Beyond Groups: Uncovering Dynamic Communities on the WhatsApp Network of Information Dissemination,” vol. 12467, Springer, Cham, 2020, pp. 252–266. doi: 10.1007/978-3-030-60975-7_19.
[2] K. Han, P. C. Shih, and J. M. Carroll, “Local News Chatter: Augmenting community news by aggregating hyperlocal microblog content in a tag cloud,” International Journal of Human-Computer Interaction, vol. 30, no. 12, pp. 1003–1014, Sep. 2014, doi: 10.1080/10447318.2014.925773.
[3] A. Lara-Millán and M. Guzman-Garcia, “Digital platforms and the maintenance of the urban order,” Social Problems, vol. 72, no. 2, pp. 675–695, Dec. 2023, doi: 10.1093/socpro/spad053.
[4] T. Hatuka and G. Elhanan, “Digitization processes at the neighborhood scale: Infrastructure, governance, community, and practices,” Planning Theory, vol. 25, no. 1, pp. 75–97, Jul. 2024, doi: 10.1177/14730952241263863.
[5] M. E. Cortés-Cediel, A. Segura-Tinoco, I. Cantador, and M. P. R. Bolívar, “Trends and challenges of e-government chatbots: Advances in exploring open government data and citizen participation content,” Government Information Quarterly, vol. 40, no. 4, p. 101877, Oct. 2023, doi: 10.1016/j.giq.2023.101877.
[6] M. E. Mondejar et al., “Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet,” The Science of the Total Environment, vol. 794, p. 148539, Jun. 2021, doi: 10.1016/j.scitotenv.2021.148539.
[7] G. A. Porumbescu, V. Trehan, and A. Edomwonyi, “Frontline Workers and Civic Tech: Bridging the responsiveness gap in digital client encounters,” Public Administration Review, vol. 86, no. 4, pp. 1045–1059, Dec. 2025, doi: 10.1111/puar.70066.
[8] A. Wijaya, I. Fenriana, L. W. Kusuma, and E. Kusuma, “Web-Based Public Complaint Information System design using the LARAVeL framework,” ALGOR, vol. 3, no. 2, pp. 35–43, Mar. 2022, doi: 10.31253/algor.v3i2.1036.
[9] S. S. D. L. Angeles USA and D. Novoselskyi, “MVCA: an Ultra-Lightweight PHP MVC framework for a faster, cleaner web,” The American Journal of Interdisciplinary Innovations and Research, vol. 07, no. 12, pp. 01–07, Dec. 2025, doi: 10.37547/tajiir/volume07issue12-01.