Empowering Digital Pedagogy through ICT-Based Deep Learning for  Numeracy and Computational Thinking in Elementary Schools

Yullys Helsa; Syafri Arlis; Melva Zainil; Hutkemri Zulnaidi; Bayu Rachman

doi:10.20527/btjpm.v8i1.17314

Empowering Digital Pedagogy through ICT-Based Deep Learning for Numeracy and Computational Thinking in Elementary Schools

Yullys Helsa, Syafri Arlis, Melva Zainil, Hutkemri Zulnaidi, Bayu Rachman

Abstract

This community service program aimed to strengthen elementary school teachers’ capacity to integrate ICT-based deep learning pedagogy in improving students’ numeracy and computational thinking (CT) literacy. The program involved 30 teachers within a local Teacher Learning Community and was implemented through participatory workshops and structured mentoring using a one-group pre-test–post-test design to examine program impact. The intervention focused on enhancing teachers’ competence in designing ICT-integrated lesson plans, learning activities, and assessments aligned with numeracy and CT indicators. Data were collected through teacher self-assessment, classroom observation, and students’ pre- and post-tests and analyzed descriptively to determine mean improvement and percentage gain. The results demonstrated a 24% increase in teachers’ ICT pedagogical competence, indicating strengthened instructional capacity. As a follow-up impact of improved teaching practice, students’ numeracy achievement increased by 24%, and computational thinking performance improved by 20%. These findings confirm that empowering teachers through ICT-integrated deep learning contributes to measurable improvements in instructional quality and supports the development of higher-order literacy skills. Overall, the program achieved its objective by reinforcing teacher capacity as the primary outcome, with positive learning gains emerging as a direct pedagogical impact within elementary classrooms.

Keywords

Computational thinking; Deep learning; Digital pedagogy; Numeracy; Teacher empowerment

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References

Abidin, Z. (2023). The computational thinking in elementary school in the indonesia new curriculum : A teacher ’ s perspective. Sekolah Dasar: Kajian Teori Dan Praktik Pendidikan, 32(02), 178–185.

Ayu, G., Robithoh, S., & Deswita, Y. (2024). Peningkatan hasil belajar matematika melalui model pembelajaran kooperatif tipe talking stick berbantuan geogebra. Jurnal Cendekia: Jurnal Pendidikan Matematika, 08, 737–749.

Azizah, N., Setiadi, D., Lestari, T. A., & Jufri, A. W. (2024). Pengaruh model problem based learning berbantuan smart apps creator terhadap kemampuan computational thinking siswa. Journal Of Classroom Action Research, 6(2).

Helsa, Y., Turmudi, T., & Juandi, D. (2023). TPACK-based hybrid learning model design for computational thinking skills achievement in mathematics. Journal on Mathematics Education, 14(2), 225–252.

Helsa, Y., Suparman, S., Juandi, D., & Turmudi, T. (2023). A meta-analysis of the utilization of computer technology in enhancing computational thinking skills : Direction for mathematics learning a meta-analysis of the utilization of computer technology in enhancing computational thinking skills : Direction for mathematics learning. International Journal of Instruction, 16(April). https://doi.org/10.29333/iji.2023.16239a

ISSED. (2023). The development of PISA in Indonesia: Challenges and hopes on international literacy day. https://www.issed.id/the-development-of-pisa-in-indonesia-challenges-and-hopes-on-international-literacy-day?utm_source=chatgpt.com

Lee, I., Lee, I., & Malyn-smith, J. (2019). Computational thinking integration patterns along the framework defining computational thinking from a disciplinary perspective. Journal of Science Education and Technology, 29(1), 9-18.

Li, Y., Schoenfeld, A. H., Andrea, A., & Graesser, A. C. (2020). Computational thinking is more about thinking than computing. Journal for STEM Education Research, 1–18.

Liu, Z., Gearty, Z., Richard, E., Orrill, C. H., & Kayumova, S. (2025). Bringing computational thinking into classrooms : A systematic review on supporting teachers in integrating computational thinking into K ‑ 12 classrooms. International Journal of STEM Education, 11(1), 51.

Ma, H., Dong, Y., Jing, B., Zeng, Y., & Sun, J. (2025). Effectiveness of in ‑ service computer science teachers ’ professional development in K ‑ 12 education : a systematic review and meta ‑ analysis. International Journal of STEM Education, 12(1). https://doi.org/10.1186/s40594-025-00548-0

Melva Zainil, et all. (2024). Development of Learning Management System Model and Numerical Literacy-based Message Content. International Journal of Instruction, 16(4), 1041–1060.

Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative data analysis. sage.

Nasrulloh, I., Solihati, E., & Nugraha, W. (2024). Developing Professional Teachers in the Digital Age Through ICT Learning in the Cijeungjing Regional Office. Indonesian Journal of Community Empowerment (IJCE), 5, 69–80.

Oyelere, A., Friday, S., Agbo, J., & Suhonen, J. (2025). Co ‑ design Pedagogy for Computational Thinking Education in K ‑ 12 : A Systematic Literature Review. In Technology, Knowledge and Learning, 30(1). Springer Netherlands. https://doi.org/10.1007/s10758-024-09765-y

Palop, B., Díaz, I., Rodríguez, L. J., & Santaengracia, J. J. (2025). Redefining computational thinking : A holistic framework and its implications for K ‑ 12 education. Education and Information Technologies, 30(10), 13385–13410.

https://doi.org/10.1007/s10639-024-13297-4

Peng, J., Hao, M., Chen, B., & Wang, M. (2025). Cultivating computational thinking in a STEM course through the ICDCO instructional model. Education and Information Technologies, 30(17), 25137-25175.

Putri, D. E., Fransiska, F. W., Krisnawati, N., & Husnita, L. (2025). Empowering elementary school teachers through technology-enhanced pedagogical mentoring. Communnity Development Journal, 6(3), 4843–4849.

Schwarzhaupt, R., & Wilson, J. P. (2024). Broadening participation of teachers in computing : examining postsecondary educational experiences and prospective educators’ cs teaching interests. Journal of Computer Science Integration, 7(1), 1–16. https://doi.org/10.26716/jcsi.2024.02.01.44

Syaiful, S., Halizah, N., & Fauziah, N. (2024). Pendampingan pembelajaran teknologi informasi dan komunikasi kepada siswa madrasah aliyah nurul. Kolaborasi: Jurnal Hasil Kegiatan Kolaborasi Pengabdian Masyarakat, 2(4), 81-92.

Trianung, T., Susanto, D., Solihin, R. R., Fauziyah, E. P., Vita, N., Yanti, I., & Ramadhania, A. P. (2024). The efforts of indonesian government in increasing teacher quality based on pisa result in 2022 : A literature review. Perspektif Ilmu Pendidikan, 38(1), 57-65.38(1), 57–65.

Tyas, Z., Rifayanti, E., Prameswari, N. K., & Aditya, L. (2025). Pendampingan komunitas belajar di platform merdeka mengajar sekolah. JPMD: Jurnal Pengabdian Kepada Masyarakat Desa, 6(1).

Villavicencio, A., Martin, W., Fancsali, C., Israel, M., Villavicencio, A., Martin, W., Fancsali, C., & Israel, M. (2025). Examining two different models for developing teachers new to computer science : lessons from a CS4All district. Journal of Research on Technology in Education, 57(1), 178-200. https://doi.org/10.1080/15391523.2024.2410183

Wakit, A., Hidayati, N., Wahono, B. B., Arif, M. N., Fauziah, A., Islam, U., & Ulama, N. (2025). Pkm penguatan literasi numerasi siswa sd melalui pelatihan media digital pada kelompok ibu belajar. Madiun Spoor: Jurnal Pengabdian Masyarakat, 5(April).

Xu, Z. (2024). AI in education : Enhancing learning experiences and student outcomes. Applied and Computational Engineering, 51(1), 104-111. https://doi.org/10.54254/2755-2721/51/20241187

Yeni, S., Nijenhuis-voogt, J., Saeli, M., Barendsen, E., & Hermans, F. (2024). Computational thinking integrated in school subjects A cross-case analysis of students’ experiences. International Journal of Child-Computer Interaction, 42(September), 100696. https://doi.org/10.1016/j.ijcci.2024.100696

Ziatdinov, R., & Valles Jr, J. R. (2022). Synthesis of modeling, visualization, and programming in GeoGebra as an effective approach for teaching and learning STEM topics. Mathematics, 10(3), 398.

DOI: https://doi.org/10.20527/btjpm.v8i1.17314