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Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools

Since schools increasingly use digital platforms that provide educational data in digital formats, teacher data use, and data literacy have become a focus of educational research. One main challenge is whether teachers use digital data for pedagogical purposes, such as informing their teaching. We c...

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Autores principales: Michos, Konstantinos, Schmitz, Maria-Luisa, Petko, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088643/
https://www.ncbi.nlm.nih.gov/pubmed/37361815
http://dx.doi.org/10.1007/s10639-023-11772-y
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author Michos, Konstantinos
Schmitz, Maria-Luisa
Petko, Dominik
author_facet Michos, Konstantinos
Schmitz, Maria-Luisa
Petko, Dominik
author_sort Michos, Konstantinos
collection PubMed
description Since schools increasingly use digital platforms that provide educational data in digital formats, teacher data use, and data literacy have become a focus of educational research. One main challenge is whether teachers use digital data for pedagogical purposes, such as informing their teaching. We conducted a survey study with N = 1059 teachers in upper secondary schools in Switzerland to investigate teacher digital data use and related factors such as the available technologies in schools. Descriptive analysis of the survey responses indicated that although more than half of Swiss upper-secondary teachers agreed with having data technologies at their disposal, only one-third showed a clear tendency to use these technologies, and only one-quarter felt positively confident in improving teaching in this way. An in-depth multilevel modeling showed that teachers’ use of digital data could be predicted by differences between schools, teachers’ positive beliefs towards digital technologies (will), self-assessed data literacy (skill), and access to data technologies (tool) as well as by general factors such as frequency of using digital devices in lessons by students. Teacher characteristics, such as age and teaching experience, were minor predictors. These results show that the provision of data technologies needs to be supplemented with efforts to strengthen teacher data literacy and use in schools.
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spelling pubmed-100886432023-04-11 Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools Michos, Konstantinos Schmitz, Maria-Luisa Petko, Dominik Educ Inf Technol (Dordr) Article Since schools increasingly use digital platforms that provide educational data in digital formats, teacher data use, and data literacy have become a focus of educational research. One main challenge is whether teachers use digital data for pedagogical purposes, such as informing their teaching. We conducted a survey study with N = 1059 teachers in upper secondary schools in Switzerland to investigate teacher digital data use and related factors such as the available technologies in schools. Descriptive analysis of the survey responses indicated that although more than half of Swiss upper-secondary teachers agreed with having data technologies at their disposal, only one-third showed a clear tendency to use these technologies, and only one-quarter felt positively confident in improving teaching in this way. An in-depth multilevel modeling showed that teachers’ use of digital data could be predicted by differences between schools, teachers’ positive beliefs towards digital technologies (will), self-assessed data literacy (skill), and access to data technologies (tool) as well as by general factors such as frequency of using digital devices in lessons by students. Teacher characteristics, such as age and teaching experience, were minor predictors. These results show that the provision of data technologies needs to be supplemented with efforts to strengthen teacher data literacy and use in schools. Springer US 2023-04-11 2023 /pmc/articles/PMC10088643/ /pubmed/37361815 http://dx.doi.org/10.1007/s10639-023-11772-y Text en © The Author(s) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Michos, Konstantinos
Schmitz, Maria-Luisa
Petko, Dominik
Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
title Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
title_full Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
title_fullStr Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
title_full_unstemmed Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
title_short Teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
title_sort teachers’ data literacy for learning analytics: a central predictor for digital data use in upper secondary schools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088643/
https://www.ncbi.nlm.nih.gov/pubmed/37361815
http://dx.doi.org/10.1007/s10639-023-11772-y
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