Data driven instruction article

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Data-driven instruction is based on a theory of action that goes like this: Data collection can lead to more deliberate and systematic analysis of student work, which in turn can lead to more differentiated approaches to instruction that highlight individual students’ strengths while working on their weaknesses, which

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DATA DRIVEN INSTRUCTION ARTICLE >> DOWNLOAD NOW

DATA DRIVEN INSTRUCTION ARTICLE >> READ ONLINE

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16 Oct 2018 When it comes to assessing student knowledge levels, data has empowered more schools to choose formative assessments versus summative assessments. Giving feedback to students is an integral part of the teaching process, and both formative and summative assessments have their place
(Read full case studies [PDF] of two schools using data-driven instruction to achieve breakthrough student learning gains.) All elements of a school’s culture, including student aspirations and a code of conduct that promotes positive learning behaviors, benefit from the use of student learning data.
Data-driven decision making is essential in K-12 education today, but teachers multiple data sets) to reflect on student progress or to differentiate instruction.
Support Instructional Decision Making data use;. • Provide supports that foster a data- driven culture within the the benefits of data use by helping teachers.
What Data-Driven Instruction Should Really Look Like. By Kathie Marshall. June 3, 2009. Article Tools. Print Printer-Friendly; Email Article; Reprint Reprints
Data-driven instruction is an educational approach that relies on information to inform teaching . In their article, Richard Halverson, Jeffrey Grigg, Reid Prichett, and Chris Thomas suggest that the DDIS framework is composed of six
16 Nov 2015 Data-Driven Instruction in the Classroom. Article (PDF Available) · January 2015 with 640 Reads. Cite this publication. Arnon Hershkovitz at TelThe main ideas of the book are: Implemented well, data-driven instruction has the power to dramatically improve student performance. This book presents the four building blocks of data-driven instruction used by effective data-driven schools and provides the professional development activities to develop them.

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