Editorial article for the special issue on data-based decision making around the world: from policy to practice to results

Kim Schildkamp · Melanie Ehren · Mei Kuin Lai

76 citations0/0 files storedSchool Effectiveness and School Improvement

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Educational Assessment and Improvement Global Educational Policies and Reforms Evaluation and Performance Assessment

Abstract

This editorial article briefly examines the importance of data-based decision making. It discusses the definition as well as rationale for data-based decision making, its purposes, the use of data at different levels of the educational system, and possible promoting and hindering factors of effective data use. It also examines the effects of data use, intended effects (e.g., increased student achievement), as well as unintended consequences (e.g., cheating with tests). We end with suggestions for new research priorities.

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References

1998Working knowledge: how organizations manage what they know 2007Teacher professional learning and development: Best evidence synthesis iteration 2009Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors 2004Accountability Policies and Teacher Decision Making: Barriers to the Use of Data to Improve Practice 2006Strategies to Promote Data Use for Instructional Improvement: Actions, Outcomes, and Lessons fromThree Urban Districts 2002Leading Schools in a Data-Rich World 2005Involving Teachers in Data-Driven Decision Making: Using Computer Data Systems to Support Teacher Inquiry and Reflection 2011A Multistate District-Level Cluster Randomized Trial of the Impact of Data-Driven Reform on Reading and Mathematics Achievement

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2016Diversity and Equity: A Global Education Challenge 2014Effects of student feedback as a method of self-evaluating the quality of teaching 2017Differentiated instruction in a data-based decision-making context 2020On the value of data-based decision making in education: The evidence from six intervention studies

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