Cited by 229Educational Assessment and ImprovementTeacher Education and Leadership StudiesSchool Leadership and Teacher Performance

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index; none of the 65 sources its claims cite is checked for support yet.

Data teams for school improvement

Open access
Schildkamp, Kim, Poortman, Cindy L., Handelzalts, Adam·2016·School Effectiveness and School Improvement

Abstract

The use of data for educational decision making has never been more prevalent. However, teachers and school leaders need support in data use. Support can be provided by means of professional development in the form of “data teams”. This study followed the functioning of 4 data teams over a period of 2 years, applying a qualitative case study design. The findings show that data use is not a linear process, and that teams go through different feedback loops to reach higher levels of depth of inquiry. The data team procedure is a promising way of enhancing data-based decision making in schools.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This qualitative case study followed four Dutch secondary school data teams over two years as they implemented an eight-step data team procedure. It finds that data use was not linear, with teams moving through feedback loops, and that the procedure is a promising way to enhance data-based decision making in schools.

Key findings

  • Data use was not a linear process: all teams returned to earlier steps, and three of four teams developed new knowledge through feedback loops; two teams (W and C) moved to action and outcomes.
  • Team W reduced grade repetition from over 30% to 23% after implementing measures; Team C found student results did not significantly decline in percentages and fractions after repetition and differentiation measures.
  • Depth of inquiry varied: Teams W, C, and G reached higher depth in final meetings, while Team B remained mostly at low/average depth, did not turn information into knowledge or action, and terminated after Meeting 6 (after 9 months).
  • Attribution shifted in the more successful teams: Teams W and C moved from external to internal causes and took action at the level of their own functioning; Team G did not reach implementing measures related to its own functioning.

Methods

  • Qualitative case study using a micro-process perspective; followed 4 data teams with members from 6 Dutch secondary schools over 2 years, focused on problems including grade repetition, mathematics achievement, and pre-vocational entrants’ performance.
  • Data included audio-recorded 34 data team meetings (1–1.5 hr) and 24 interviews (1 hr) conducted about six months after teams started; transcripts were coded in Atlas.ti using the theoretical framework of data-based decision making, depth of inquiry, and attribution.
  • Analysis used within-case summaries and cross-case matrix displays; interrater agreement was a Cohen’s Kappa of 0.76 on approximately 10% of observation transcripts, and researchers who did not facilitate the teams conducted the analyses.

Limitations

  • Stated: the study is a small pilot in a specific context; the authors cannot conclude that improvements were caused by the data teams alone, and further research is needed on enabling factors, larger scale, and long-term effects.
  • Stated/evident: data availability and quality were sometimes problematic, especially for Teams B and G; Team G had only six meetings within 1 year, and Team B terminated early, limiting comparison across teams.
  • Evident: one researcher developed and facilitated the data team procedure, although analyses were conducted by non-facilitators; teams voluntarily approached the University of Twente, so selection and context may limit generalizability.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1080/09243453.2015.1056192

Cites

87 of 87 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

52 Own result · 24 No full text of the sources · 11 No basis given · 10 Sources not found · 10 Not checked yet · 10 Own interpretation · 8 Own method

Show all 57 claims

  • It may state two separate claims as one. 46
  • The quote only partly states this claim. 8
  • Probably not a substantial claim. 29
68 of 68
  • The paper relies on this without support.

    Teachers and school leaders need support in using data.

    “However, teachers and school leaders need support in data use.”
  • The paper relies on this without support.

    School leaders' participation in a data team helps ensure that the action plan is implemented at the end.

    “Furthermore, their participation will help ensure implementation of the action plan at the end of the process.”
  • The paper relies on this without support.

    Teachers have a central role in achieving sustainable and significant improvement in teaching and learning.

    “Teachers have a central role in realizing sustainable and significant improvement of teaching and learning practices.”
  • The paper relies on this without support.

    It is important that teachers at some stage take responsibility for their students' learning and begin to examine internal causes.

    “It is important that at some stage teachers take the responsibility for their students' learning and start to look at internal causes (internal attribution).”
  • The paper relies on this without support.

    More knowledge is needed on how to support schools in using data.

    “However, we need more knowledge on how to support schools in the use of data.”
5 of 5

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Show all 80 references

Research works printed but not linked: 8

  1. Datnow A., 2007, Achieving with data: How high-performing school systems use data to improve instruction for elementary students
  2. Fullan M., 2000, Phi Delta Kappan, 81, 581
  3. Inspectie van het Onderwijs, 2011, De staat van het onderwijs: Onderwijsverslag 2009/2010
  4. Jimerson J. B., 2012, Branding educational data use through professional learning: Findings from a study in three districts
  5. Organisation for Economic Co-operation and Development, 2010, Education at a glance 2010: OECD indicators
  6. Schildkamp K., 2012, Data teams for school improvement
  7. 10.1007/978-94-007-4816-3 · DOI
  8. Verbeek C., 2014, Leidinggeven aan onderzoekende scholen

Cited by

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Items 101–171 of 171

Metadata

Authors
Schildkamp, K., Poortman, C. L., & Handelzalts, A.
Affiliations
  • University of Twente (NL)
  • Vrije Universiteit Amsterdam (NL)
Corresponding author
Schildkamp, Kim
Venue
School Effectiveness and School Improvement
Published
2015-06-26
Volume
27
Issue
2
Pages
228-254
ISSN
  • 0924-3453 (ISSN-L)
  • 1744-5124
OpenAlex
W2179527361
Cited by
229
References
80
Citations by year
2026: 24 · 2025: 21 · 2024: 17 · 2023: 15 · 2022: 26 · 2021: 22 · 2020: 31 · 2019: 18 · 2018: 15 · 2017: 20 · 2016: 8 · 2015: 4
FWCI
64.76
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • School Effectiveness and School Improvement (publishedVersion)
  • University of Twente Research Information (submittedVersion, other-oa)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Education › Educational Assessment and Improvement
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › School Leadership and Teacher Performance
Keywords
data teams, data-driven decision making, school improvement, professional development, teacher support, school leadership, feedback loops, educational data use

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