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Data Analysis for School Improvement within Coupled Local School Systems: Which Data and with what Purposes?
Linnaeus University, Faculty of Social Sciences, Department of Education and Teacher's Practice. Linnaeus University, Linnaeus Knowledge Environments, Education in Change. (SITE)ORCID iD: 0000-0002-1911-6615
Dalarna University, Sweden.
2023 (English)In: Leadership and Policy in Schools, ISSN 1570-0763, E-ISSN 1744-5043, Vol. 22, no 3, p. 714-727Article in journal (Refereed) Published
Abstract [en]

From a new institutional theoretical perspective, this article explores school actors’ sense making linked to data-based decision making (DBDM) policy in general and processes of data analysis in particular. The study revealed how actors’ interpretation of and response to DBDM requirements pointed to strong and weak couplings between and within the local school system’s different organizational levels. While teachers primarily emphasized informal, daily analyses, the LEA and principals placed importance on formal, district and school-based analyses. In the same way teachers to a greater extent think that too much resources is spent on collecting and analyzing data rather than on innovation and school improvement.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2023. Vol. 22, no 3, p. 714-727
Keywords [en]
Data-based decision making, Organizational levels, Coupled school systems; Sense-making
National Category
Pedagogy
Research subject
Pedagogics and Educational Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-108095DOI: 10.1080/15700763.2021.2010101ISI: 000725316800001Scopus ID: 2-s2.0-85121014207OAI: oai:DiVA.org:lnu-108095DiVA, id: diva2:1612062
Available from: 2021-11-17 Created: 2021-11-17 Last updated: 2023-09-19Bibliographically approved

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Adolfsson, Carl-Henrik

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