PENGARUH KEMAMPUAN DIGITAL GURU DAN PENERAPAN DEEP LEARNING DALAM PENINGKATAN KUALITAS PEMBELAJARAN DI SEKOLAH DASAR
DOI:
https://doi.org/10.23969/jp.v10i04.37453Keywords:
digital competence, deep learning, learning quality, SEM-PLSAbstract
This study aims to analyze the effect of teachers’ digital competence and the implementation of deep learning on the quality of learning in primary schools. The research employed a quantitative approach using Structural Equation Modeling with Partial Least Squares (SEM-PLS). Respondents consisted of primary school teachers in Sukatani District, Purwakarta Regency selected through purposive sampling. Data were collected using a Likert-scale questionnaire. The results show that teachers’ digital competence has no significant direct effect on learning quality (β = 0,267; t = 1,348; p = 0.178). Teachers’ digital competence significantly affects deep learning implementation (β = 0,731; t = 5,222; p = 0.000). Deep learning significantly influences learning quality (β = 0,685; t = 4,241; p = 0.000). Furthermore, the indirect effect of teachers’ digital competence on learning quality through deep learning is significant (β = 0,501; t = 2,181; p = 0.029). These findings highlight the mediating role of deep learning in enhancing learning quality driven by teachers’ digital competence.
Keywords: digital competence, deep learning, learning quality, SEM-PLS
Downloads
References
Buku
Schunk, D. H. (2020). Learning theories: An educational perspective (8th ed.). Pearson.
Mishra, P., & Koehler, M. J. (2022). Technological Pedagogical Content Knowledge (TPACK) re-examined: Foundations and implications. Routledge.
Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage Publications.
Jurnal
Heong, Y. M., Othman, W. M., Yunos, J. M., Kiong, T. T., & Mohamad, M. M. (2021). Deep learning approach for higher-order thinking skills in education. International Journal of Instruction, 14(3), 1–16.
Luo, L., Chen, X., & Wang, Q. (2023). Teachers’ digital competence and its influence on instructional quality: A structural model. Education and Information Technologies, 28, 451–468.
Sailer, M., Schultz-Pernice, F., & Fischer, F. (2021). Technology in education: What really matters for learning quality? Computers & Education, 168, 104–211.
Zhu, X., & Urhahne, D. (2022). Digital literacy as a predictor of deep teaching and deep learning in schools. Journal of Computer Assisted Learning, 38(5), 1204–1218.
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2023). Partial least squares path modeling using consistent PLS. Behavior Research Methods, 55(1), 45–60.
Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert scale: An approach to field research. International Journal of Academic Research, 1(2), 1–8.
Nurbaya, N., Suryadi, S., & Suharto, N. (2024). Pengaruh kemampuan digital guru dan penerapan deep learning terhadap kualitas pembelajaran di sekolah dasar. Pendas: Jurnal Ilmiah Pendidikan Dasar .
Peraturan Pemerintah
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia. (2022). Kurikulum Merdeka sebagai kerangka kurikulum nasional dalam pemulihan pembelajaran. Jakarta: Kemendikbudristek.
Peraturan Pemerintah Nomor 57 Tahun 2021 tentang Standar Nasional Pendidikan.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Pendas : Jurnal Ilmiah Pendidikan Dasar

This work is licensed under a Creative Commons Attribution 4.0 International License.
















