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Making Sense of Student Performance Data: Data Use Logics and Mathematics Teachers’ Learning Opportunities

Item

Title
Making Sense of Student Performance Data: Data Use Logics and Mathematics Teachers’ Learning Opportunities
Abstract/Description
In the accountability era, educators are pressed to use evidence-based practice. In this comparative case study, we examine the learning opportunities afforded by teachers’ data use conversations. Using situated discourse analysis, we compare two middle school mathematics teacher workgroups interpreting data from the same district assessment. Despite similarities in their contexts, the workgroups invoked different data use logics that shaped teachers’ learning opportunities. The first workgroup’s instructional management logic linked increasing student achievement to individualization. The second workgroup’s instructional improvement logic focused on students’ thinking and linked it to instructional changes but was limited by broader instructional management logics. Evidence-based practice cannot be understood apart from the data use logics in teachers’ communities, which are shaped by policy constraints.
Date
2015
In publication
American Educational Research Journal
Volume
52
Issue
2
Pages
208-242
Resource type
en
Resource status/form
en
Scholarship genre
en
Language
en
Open access/full-text available
en Yes
Peer reviewed
en Yes
ISSN
0002-8312
Citation
Horn, I. S., Kane, B. D., & Wilson, J. (2015). Making Sense of Student Performance Data: Data Use Logics and Mathematics Teachers’ Learning Opportunities. American Educational Research Journal, 52(2), 208–242. https://doi.org/10.3102/0002831215573773

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