Issue |
SHS Web Conf.
Volume 197, 2024
6th International Conference on Arts and Design Education (ICADE 2023)
|
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Article Number | 01011 | |
Number of page(s) | 8 | |
Section | Digital Media Innovation in Art and Design Teaching, Learning Model, and Curriculum Development | |
DOI | https://doi.org/10.1051/shsconf/202419701011 | |
Published online | 06 September 2024 |
The effect of education supervision from school supervisors on teacher competence and its impact on the quality of digital learning
1 Universitas Pendidikan Indonesia, Bandung, Indonesia
2 Institut KH Ahmad Sanusi, Sukabumi, Indonesia
* Corresponding author: liahsitisyarifah.27@gmail.com
This research aims to explain the effect of educational supervision on the quality of digital learning which is mediated by the teacher Competences to manage digital learning. The research used a quantitative approach with sur-vey method. The research population was junior high school teachers in the city of Bandung, Indonesia. There were 357 respondents with random sampling technique. Data collection was carried out by surveys and document studies. The questionnaire as a research instrument uses a Likert scale, for exogenous variables, namely educational supervision, endogenous variable, namely the quality of digital learning and intervening variables, namely the ability of teachers in digital learning. Further-more, the analysis process in this research uses a multivariate test using Smart PLS 3.0 software. Based on the research, there is a positive and significant effect of the educational supervision variable on the quality of digital learning through teacher competences. It means that the better of supervision, so the quality of digital learning will be better, and to achieve this, a good teacher’s ability to man-age digital learning is needed. This implies that there is a need to increase the understanding of school supervisors on the quality of digital learning so that it has a good impact on their supervision.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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