How Do Teachers Make Sense of Data in the Context of High-Stakes Decision Making?
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This study examines the way teachers make sense of data in the context of high-stakes decision making, such as decisions related to student placement in educational tracks. Different types of data, data collected rationally and intuitively, may be used in this sensemaking process, and the same data may be interpreted in different ways by different teachers. Results show that teachers base their decisions on rational processes only to a limited extent. Teachers collect a great amount of data intuitively, and they sometimes interpret data collected rationally by personal criteria and triangulate data to a very limited extent. Since fair educational decisions are informed by a rational collection and a transparent interpretation of data, implications for theory and practice are provided.
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The use of ICT-based data systems to support teachers in data-driven decision-making remains limited.
“The use of information and communication technology-based data systems to support teachers in data-driven decision-making (DDDM) remains limited.”
From Using information and communication technology (ICT)-based data systems to support teacher data-driven decision-making: Insights from the literature (2013–2023) (2024) · cites this paper as Vanlommel & Schildkamp, 2019
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- Authors
- Vanlommel, K., & Schildkamp, K.
- Affiliations
- University of Antwerp (BE)
- University of Twente (NL)
- Venue
- American Educational Research Journal
- Published
- 2018-10-26
- Volume
- 56
- Issue
- 3
- Pages
- 792-821
- ISSN
- 0002-8312 (ISSN-L)
- 1935-1011
- OpenAlex
- W2898505312
- Cited by
- 79
- References
- 83
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 12 · 2023: 11 · 2022: 11 · 2021: 12 · 2020: 12
- FWCI
- 8.52
- Type
- journal article
- Language
- en
- Open access
- green
- research.utwente.nl
- Locations
- American Educational Research Journal (publishedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Teacher Education and Assessments
- Keywords
- teacher decision-making, high-stakes decisions, educational tracking, student placement, data triangulation, data interpretation, educational equity, transparency in decision-making
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