Potensi Implementasi Pendekatan Deep Learning dalam Pembelajaran Numerasi di Kelas 4 Sekolah Dasar

Authors

  • Anisa Nurahmadani Universitas PGRI Yogyakarta
  • Heru Purnomo Universitas PGRI Yogyakarta

Keywords:

deep learning, Numeracy, Basic education

Abstract

Numeracy skills are an important component of mathematical literacy that need to be instilled from an early age so that students are able to face real-life problems logically and systematically. However, the reality on the ground shows that numeracy learning at the elementary school level still faces various obstacles, particularly in terms of learning approaches that do not fully encourage active involvement and in-depth student understanding. This study aims to describe the real conditions of numeracy learning implementation in fourth grade elementary schools based on observations and interviews, and explore the possibility of implementing a deep learning approach as an innovative strategy that is adaptive to the learning needs of 21st-century students. The study was conducted using a descriptive qualitative approach, through observations of numeracy learning and semi-structured interviews with class teachers. The results of the study indicate that conventional approaches are still dominant, with low student engagement and limited understanding of numeracy concepts, especially in fractions. Nevertheless, there are positive indications that the use of visual media and contextual activities can increase student enthusiasm and participation. These findings indicate that the deep learning approach has the potential to be integrated into numeracy learning, provided it is supported by increased teacher capacity and the provision of adequate digital learning infrastructure.

Downloads

Download data is not yet available.

References

Boaler, J. (2021). Mathematical mindsets. San Francisco, CA: Jossey-Bass.

Digital Media Innovation for Enhancing Numeracy Literacy in Elementary Schools. (2024). Proceedings of PPD, Universitas Muhammadiyah.

Goodfellow, I., Bengio, Y., & Courville, A. (2022). Deep learning. Cambridge, MA: MIT Press.

Hattie, J. (2020). Visible learning. Abingdon: Routledge.

Hikamudin, E., Riyadi, A. R., Aryanti, P., Peniasiani, D., Nuryani, P., & Gofur, R. (2023). Improving elementary school students’ understanding of literacy and numeracy through digital applications. Mimbar PGSD Undiksha, 11(3), 462–467. https://doi.org/10.23887/jjpgsd.v11i3.64018

Juhaevah, F., Tahmir, S., & Talib, A. (2025). The effect of learning media on students' early numeracy skills: Meta-analysis. Journal of Mathematics and Science Teacher, 5(2), em079. https://doi.org/10.29333/mathsciteacher/16059

Khosravi, H., Kitto, K., & Liu, D. Y. (2022). Learning analytics as a middle-ground between learning and teaching. Journal of Educational Technology & Society, 25(1), 115–125.

Mardhiyah, A., & Mutiani. (2021). Peran literasi numerasi dalam kehidupan sehari-hari. In Prosiding Seminar Nasional Pendidikan (pp. 1–10).

OECD. (2023). The future of education and skills: Education 2030. Paris: OECD Publishing.

Orhani, S. (2024). Deep learning in math education. International Journal of Research and Innovation in Social Science (IJRISS), 8(4), 270–277.

Punyamurthula, K., & Kumar, P. (2021). Evaluation of online learning platforms in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 18(2), 70–78.

Selwyn, N. (2022). Education and technology: Key issues and debates (2nd ed.). London: Bloomsbury Publishing.

Suhardi. (2017). Efektivitas penerapan model pembelajaran Deeper Learning Cycle (DELC) dalam meningkatkan hasil belajar matematika kelas VII MTs DDI Parangsialla Kab. Jeneponto (Skripsi, Universitas Islam Negeri Alauddin Makassar).

Teachers and learners' perceptions about implementation of AI tools in elementary mathematics classrooms. (2025). SAGE Open. Advance online publication.

Yuliana, R., & Nurkamto, J. (2022). Strategi pembelajaran adaptif dalam meningkatkan literasi numerasi di sekolah dasar. Jurnal Inovasi Pendidikan, 10(4), 145–159.

Zhang, Y., & Lu, X. (2020). Learning analytics for student modeling in online learning environments. International Journal of Emerging Technologies in Learning, 15(5), 210–218.

Zhou, H., & LeCun, Y. (2021). Deep reinforcement learning for educational data mining. Journal of Artificial Intelligence in Education, 30(1), 89–104.

Downloads

Published

20-10-2025

Issue

Section

Articles

How to Cite

Potensi Implementasi Pendekatan Deep Learning dalam Pembelajaran Numerasi di Kelas 4 Sekolah Dasar. (2025). Pendagogia: Jurnal Pendidikan Dasar, 5(a), 86-92. https://jurnal.educ3.org/index.php/pendagogia/article/view/256

Similar Articles

31-40 of 90

You may also start an advanced similarity search for this article.