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Combining the best of two worlds: a conceptual proposal for evidence-informed school improvement

Combining the best of two worlds: a conceptual proposal for evidence-informed school improvement
Combining the best of two worlds: a conceptual proposal for evidence-informed school improvement

Background: Data-based decision-making (DBDM) and research-informed teaching practice (RITP) are key to teacher and school improvement. Currently, however, DBDM and RITP represent two distinct approaches to developing evidence-informed practice (EIP) and do not correspond to the all-encompassing notion of EIP envisaged by many academics and commentators. Purpose: DBDM and RITP are usually employed independently of each other. Each is associated with its own theoretical perspectives and research base, and each has its own pitfalls and strengths. Yet the approaches employed appear to be complementary, suggesting that there might be value in combining DBDM and RITP into one overarching process for achieving EIP. This paper presents the conceptual analysis and arguments for this proposal. Sources of evidence: Drawing from literature and previous research in the fields of DBDM, RITP and EIP, we describe both DBDM and RITP, before comparing and contrasting the integral aspects of each. Main argument: Our analysis leads us to suggest that not only is there overlap between these two approaches, but the strengths of each appear to mirror and compensate for the weaknesses of the other. As such, we argue that it is important that decisions in education are based on a combination of personal judgement, research evidence and local school data. This is because such a combination is likely to lead to equitable, effective and efficient decisions that are informed by values and preferences, grounded in context and steeped in practices that have been shown to be effective elsewhere. Conclusions: We suggest that an effective strategy for EIP might be to achieve ‘the best of two worlds’ by integrating DBDM and RITP. In line with evidence-informed practices in medicine and management, this means EIP in education can finally be engaged in as a holistic approach to educational decision-making that critically appraises different forms of evidence before key improvement decisions are made. Our proposed approach, Evidence informed School and Teacher Improvement, is thus designed with the aim of enhancing the quality of educational provision by employing these evidence types as part of a systematic cycle of inquiry, focused on continuously improving the quality of learning in schools.

Data-based decision-making, evidence-informed practice, evidence-informed school and teacher improvement, knowledge mobilisation, professional learning community, research-informed teaching practice
0013-1881
154-172
Brown, Chris
42bbe788-54bf-4081-8c18-ead8b554f0fd
Schildkamp, Kim
702f8ca4-f924-47a0-8e17-563b4dd0e5a7
Hubers, Mireille D.
05232cd3-6d19-4c42-a6e6-ddacd21e5ec4
Brown, Chris
42bbe788-54bf-4081-8c18-ead8b554f0fd
Schildkamp, Kim
702f8ca4-f924-47a0-8e17-563b4dd0e5a7
Hubers, Mireille D.
05232cd3-6d19-4c42-a6e6-ddacd21e5ec4

Brown, Chris, Schildkamp, Kim and Hubers, Mireille D. (2017) Combining the best of two worlds: a conceptual proposal for evidence-informed school improvement. Educational Research, 59 (2), 154-172. (doi:10.1080/00131881.2017.1304327).

Record type: Article

Abstract

Background: Data-based decision-making (DBDM) and research-informed teaching practice (RITP) are key to teacher and school improvement. Currently, however, DBDM and RITP represent two distinct approaches to developing evidence-informed practice (EIP) and do not correspond to the all-encompassing notion of EIP envisaged by many academics and commentators. Purpose: DBDM and RITP are usually employed independently of each other. Each is associated with its own theoretical perspectives and research base, and each has its own pitfalls and strengths. Yet the approaches employed appear to be complementary, suggesting that there might be value in combining DBDM and RITP into one overarching process for achieving EIP. This paper presents the conceptual analysis and arguments for this proposal. Sources of evidence: Drawing from literature and previous research in the fields of DBDM, RITP and EIP, we describe both DBDM and RITP, before comparing and contrasting the integral aspects of each. Main argument: Our analysis leads us to suggest that not only is there overlap between these two approaches, but the strengths of each appear to mirror and compensate for the weaknesses of the other. As such, we argue that it is important that decisions in education are based on a combination of personal judgement, research evidence and local school data. This is because such a combination is likely to lead to equitable, effective and efficient decisions that are informed by values and preferences, grounded in context and steeped in practices that have been shown to be effective elsewhere. Conclusions: We suggest that an effective strategy for EIP might be to achieve ‘the best of two worlds’ by integrating DBDM and RITP. In line with evidence-informed practices in medicine and management, this means EIP in education can finally be engaged in as a holistic approach to educational decision-making that critically appraises different forms of evidence before key improvement decisions are made. Our proposed approach, Evidence informed School and Teacher Improvement, is thus designed with the aim of enhancing the quality of educational provision by employing these evidence types as part of a systematic cycle of inquiry, focused on continuously improving the quality of learning in schools.

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More information

Published date: 3 April 2017
Additional Information: Publisher Copyright: © 2017 NFER.
Keywords: Data-based decision-making, evidence-informed practice, evidence-informed school and teacher improvement, knowledge mobilisation, professional learning community, research-informed teaching practice

Identifiers

Local EPrints ID: 494175
URI: http://eprints.soton.ac.uk/id/eprint/494175
ISSN: 0013-1881
PURE UUID: fb7ccd3e-7f7a-4852-ac4d-119c2d33166e
ORCID for Chris Brown: ORCID iD orcid.org/0000-0002-9759-9624

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Date deposited: 26 Sep 2024 16:49
Last modified: 01 Oct 2024 02:11

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Contributors

Author: Chris Brown ORCID iD
Author: Kim Schildkamp
Author: Mireille D. Hubers

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