Professional Development in the Use of Data: From Data to Knowledge in Data Teams
Open accessAbstract
Schools need support in the use of data. To provide this support, a data team intervention was developed. A prior study conducted in the Netherlands showed that several factors can enable or hinder the work of data teams. The current replication study focuses on the factors influencing data use in data teams and the perceived effects of the data teams’ work, but looking at data teams in Sweden. The results of this qualitative study show that the data teams’ work is influenced by the same factors as in the Netherlands: Data characteristics (e.g., relevance of the data), team characteristics (e.g., heterogeneity of the team), and school organizational characteristics (e.g., school leader support).
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Systemic pressure on schools to meet accountability requirements has impacted their endeavors to utilize, assess, and demonstrate school performance based on student assessment data in recent years.
“Furthermore, the systemic pressure on schools to meet accountability requirements has also impacted their endeavors to utilize, assess, and demonstrate school performance based on student assessment data in recent years (Abdusyakur & Poortman, 2019; Farrell, 2015; Schildkamp et al., 2017; Weiss, 2012).”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Schildkamp et al., 2017
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Mixed Methods Research: A Research Paradigm Whose Time Has Come
Johnson, R. B., & Onwuegbuzie, A. J. (2004) · Educational Researcher · doi:10.3102/0013189x033007014 · Cited by 11,170 · cited 2× · see citing works
“Triangulation is very important in a mixed methods design: if independent measures point in the same direction or at least do not contradict each other, greater confidence in the conclusion is possible (Burke Johnson & Onwuegbuzie, 2004; Miles & Huberman, 1994).”
BackgroundMethodFacts Are More Important Than Novelty: Replication in the Education Sciences
Makel, M. C., & Plucker, J. A. (2014) · Educational Researcher · doi:10.3102/0013189x14545513 · Cited by 609 · cited 5× · see citing works
“Replication studies are often viewed as lacking originality, prestige, and excitementand are not seen as contributing very much to the field (Makel & Plucker, 2014).”
BackgroundMethodResultInfluentialData-informed curriculum reform: Which data, what purposes, and promoting and hindering factors
Schildkamp, K., & Kuiper, W. (2010) · Teaching and Teacher Education · doi:10.1016/j.tate.2009.06.007 · Cited by 406 · cited 8× · see citing works
“…a positive attitude towards data use at the start may also enable the work of data teams (Coburn & Turner, 2011; Earl & Katz, 2006; Levin & Datnow, 2012; Mandinach & Honey, 2008; Marsh, 2012; Marsh et al., 2006; Schildkamp & Kuiper, 2010; Spillane, 2012; Vanhoof, Van Petegem, & De Maeyer, 2009).”
BackgroundInfluentialSelf-citationTeachers’ Sensemaking of Data and Implications for Equity
Bertrand, M., & Marsh, J. A. (2015) · American Educational Research Journal · doi:10.3102/0002831215599251 · Cited by 209 · see citing works
Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research
(2006) · RAND Corporation eBooks · doi:10.7249/op170 · Cited by 202 · see citing works
Park, V., & Datnow, A. (2009) · School Leadership & Management · doi:10.1080/13632430903162541 · Cited by 199 · cited 4× · see citing works
“School staff often lack the knowledge and skills to use data effectively, and thus need professional development in this area (Earl & Katz, 2006; Marsh, Pane, & Hamilton, 2006; Park & Datnow, 2009; Schildkamp & Poortman, 2015).”
BackgroundInfluentialData-based Decision Making: An Overview
Lai, M. K., & Schildkamp, K. (2013) · Data-based Decision Making in Education · doi:10.1007/978-94-007-4816-3_2 · Cited by 167 · see citing works
Self-citationAlternative quality standards in qualitative research?
Poortman, C. L., & Schildkamp, K. (2012) · Quality & Quantity · doi:10.1007/s11135-011-9555-5 · Cited by 100 · see citing works
Self-citationLai, M. K., Wilson, A., McNaughton, S., & Hsiao, S. (2014) · Reading Research Quarterly · doi:10.1002/rrq.73 · Cited by 69 · cited 1× · see citing works
“Studies show that data use can lead to school improvement in terms of increased student achievement (Carl-son, Borman, & Robinson, 2011; Lai, Wilson, McNaughton, & Hsiao, 2014; Poortman & Schild-kamp, 2016; Van Geel, Keuning, Visscher, & Fox, 2016).”
BackgroundNelson, T. H., & Slavit, D. (2007) · Journal of In-Service Education · doi:10.1080/13674580601157620 · Cited by 59 · see citing works
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Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021
Lee, J., Alonzo, D., Beswick, K., Abril, J. M. V., Chew, A. W., & Oo, C. Z. (2024) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-024-09435-8 · Cited by 40 · see citing works
- Authors
- Schildkamp, K., Smit, M., & Blossing, U.
- Affiliations
- University of Twente (NL)
- Datateam Partners, Hengelo, The Netherlands
- University of Gothenburg (SE)
- Corresponding author
- Schildkamp, Kim
- Venue
- Scandinavian Journal of Educational Research
- Publisher
- Informa UK Limited
- Published
- 2017-11-22
- Volume
- 63
- Issue
- 3
- Pages
- 393-411
- ISSN
- 0031-3831 (ISSN-L)
- 1470-1170
- OpenAlex
- W2770128404
- Cited by
- 31
- References
- 10
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 8 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 1
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- green
- research.utwente.nl
- Licence
- other-oa
- Locations
- Scandinavian Journal of Educational Research (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 › Teacher Education and Leadership Studies
- Social Sciences › Education › Collaborative Teaching and Inclusion
- Keywords
- data teams, data use in schools, school data, professional development, school leadership support, team heterogeneity, data characteristics, school organizational characteristics, data to knowledge, replication study
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