Ebook: Data Driven Differentiation in the Standards-Based Classroom
Author: Gayle H. Gregory Lin Kuzmich
- Genre: Mathematics // Algorithms and Data Structures
- Year: 2004
- Edition: 1
- Language: English
- pdf
A step-by-step guide to designing differentiated instruction to help all students grow and succeed!Data driven instruction, standards-based teaching, diagnostic teaching, high-stakes assessments . . . they’re not just buzz words. The research shows that these realities for today’s schools in fact offer teachers powerful tools for planning differentiated instruction. Chapter by chapter, this resource covers everything you need to know, including:Using data to create a positive classroom climateUsing data to differentiate instruction for student learning styles Using data for pre-assessment, formative assessment, and final assessmentCurriculum approaches for data driven instructionAdjustable assignments for differentiated learningData driven lesson planning for differentiated learning
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