Data Driven Differentiation in the Standards-Based Classroom

Data Driven Differentiation in the Standards-Based Classroom

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  • 製本 Hardcover:ハードカバー版/ページ数 216 p.
  • 言語 ENG
  • 商品コード 9780761931577
  • DDC分類 371.394

Full Description


`Reminds educators of their commitment to children and reassures them that the tasks they must complete are doable' -Maria Elena Reyes, Associate Professor, School of Education, University of Alaska, FairbanksIn this comprehensive guide to using data-driven strategies for curriculum, instruction, and assessment, the authors present step-by-step techniques and planning tools for designing instruction with student success in mind. Topics include using data to assess classroom climate and create optimal learning conditions; using data to assess student learning styles and multiple intelligences; using data for diagnostic teaching before, during, and after instruction; using curriculum mapping and critical questions for standards-based unit planning; using adjustable assignments and flexible grouping for differentiated learning; using the most effective research-based instructional strategies; and using data for lesson planning in learning chunks that keep students active, engaged, and able to demonstrate what they know and can do. Four sample units that cross content areas and grade levels 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.

Contents

PrefaceAbout the AuthorsIntroduction: Differentiating With Data for Student Growth and AchievementWhat Is Our Target?Why Differentiate?Theaters of the Mind: Learning Systems and the BrainLearning Systems and Student GrowthConnecting Data to LearningUsing Classroom Data to Plan Differentiated Instructional StrategiesTargeting Growth for All Students1. Collecting Data to Create a Positive Classroom ClimatePositive Classroom ConnectionsAssessing the Learning Environment Using FeedbackRitual, Respect, and Cultural History Differentiating Classroom Climate Differentiating Celebration and Praise Summary2. Collecting Data to Know the LearnerGoing With the FlowDifferent Learning Styles Different IntelligencesStudent Contracting for Reflective LearningIntelligent BehaviorsReflections3. Collecting and Using Assessment Data for Diagnostic TeachingDiagnostic TeachingPre-AssessmentFormative AssessmentFinal AssessmentAssessing Our AssessmentsSummary4. Curriculum Approaches for Data Driven InstructionCurriculum Mapping and Data Driven InstructionStandards-Based Unit Planning: Sample Math Unit on Data Analysis and Probability, "The Survey Says. . . ," Grades 3 to 5 Critical Questions for Unit PlanningPre-Assessing the Learning Gap for Unit PlanningChunking the Learning SummaryOther Sample Unit Plans5. Adjustable Assignments for Differentiated LearningOptions for Differentiated LearningAdjustable Learning GridsAdjustable Learning ElementsFlexible GroupingDifferentiating Pairs Differentiating Small GroupsSummary 6. Instructional Strategies That Increase Student LearningThe Art and Science of TeachingMemory Processes and the Cognitive Learning SystemDifferentiating Instructional StrategiesRecognizing Similarities and Differences/Using Metaphors and AnalogiesSummarizing and Note TakingHomework and PracticeNonlinguistic RepresentationsCooperative Group Learning Summary7. Data Driven Lesson Planning for Differentiated LearningUsing Data for Lesson PlanningEssential Elements for Data Driven Lesson PlanningChunking the Learning for Sample Unit PlansSummaryConclusion: Putting It All Together for Student Growth and AchievementHow Do We Do All This Without Running From the Room Screaming?What Can We Learn From the Errors and Successes of the Best Teachers?Why Is It Always About the Student?ReferencesIndex