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Complexity and then some: Theories of action and theories of learning in data-informed decision making

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Abstract This article presents a synthesis of the complexity of using data in education and highlights some of the promise and challenges of adequately understanding data use across the continuum… Click to show full abstract

Abstract This article presents a synthesis of the complexity of using data in education and highlights some of the promise and challenges of adequately understanding data use across the continuum of accountability to instructional influence in the classroom. Several common themes around the complexity of data use were identified: (1) The nature of the data used, (2) the importance and difficulty of educator data capacity building and sense-making, (3) the importance of characteristics of collaboration, (4) the influence of contextual factors of schools, districts and international settings, (5) the potential negative influence of data use in equity considerations, and (6) the difficulty of determining impact of data use and discerning explanations of why data use initiative work some of the times were examined across the articles. This synthesis concludes with a call for an approach to research in data use in education that concurrently engages multiple aspects of the educational system with a focus on multiple levels of theories of learning that address students, teachers, and organizations.

Keywords: data use; theories learning; complexity; action theories; theories action; complexity theories

Journal Title: Studies in Educational Evaluation
Year Published: 2020

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