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Data Driven Differentiation in the Standards-Based Classroom
Engleski
76 b
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In this comprehensive guide to using data to plan differentiated instruction, the authors present step-by-step techniques and planning tools to help teachers design learning that allows all students to grow and achieve to their maximum potential. Four sample units are used to demonstrate every aspect of the planning process, and the authors provide a generous collection of templates, grids, and sample planners for teachers, curriculum designers, and instructional leaders to use at every stop along the way. This resource covers everything you need to know, including: using data to differentiate instruction for student learning styles; using data for pre-assessment, formative assessment, and final assessment; curriculum approaches for data driven instruction.
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