Data Driven Differentiation in the Standards-Based Classroom

ISBN-10: 0761931589

ISBN-13: 9780761931584

Edition: 2004

Authors: Gayle H. Gregory, Lin Kuzmich

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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.
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Book details

List price: $36.95
Copyright year: 2004
Publisher: Corwin Press
Publication date: 2/6/2004
Binding: Paperback
Pages: 224
Size: 6.75" wide x 9.75" long x 0.25" tall
Weight: 0.880
Language: English

Gayle Gregory is an internationally known consultant who has specialized in brain compatible learning and differentiated instruction and assessment.She presents practical teacher/student-friendly strategies grounded in sound research that educators find easy to use in the classroom or schoolhouse tomorrow. Her interactive style and modeling of strategies help teachers and administrators transfer new ideas with ease.She has had extensive experience in elementary, middle and secondary schools, community colleges and universities. Gayle has also had district leadership roles including curriculum coordinator and staff development director. She has worked with Instructional Leadership Teams in many schools and district throughout the country focusing on data analysis, using assessment, both formative and summative, and differentiating instruction based on readiness, learning profiles and interests.Her areas of expertise include brain-compatible learning, block scheduling, emotional intelligence, instructional and assessment practices, differentiated instructional strategies, using data to differentiate, literacy, presentation skills, renewal of secondary schools, enhancing teacher quality, coaching and mentoring, managing change and building professional learning communities.Gayle is affiliated with many organizations, such as the Association for Supervision and Curriculum Development and the National Staff Development Council. She is the author and co-author of numerous publications for teachers and administrators.Gayle believes in life long learning for herself and others. 

Preface
About the Authors
Introduction: Differentiating With Data for Student Growth and Achievement
What Is Our Target?
Why Differentiate?
Theaters of the Mind: Learning Systems and the Brain
Learning Systems and Student Growth
Connecting Data to Learning
Using Classroom Data to Plan Differentiated Instructional Strategies
Targeting Growth for All Students
Collecting Data to Create a Positive Classroom Climate
Positive Classroom Connections
Assessing the Learning Environment
Using Feedback
Ritual, Respect, and Cultural History
Differentiating Classroom Climate
Differentiating Celebration and Praise
Summary
Collecting Data to Know the Learner
Going With the Flow
Different Learning Styles
Different Intelligences
Student Contracting for Reflective Learning
Intelligent Behaviors
Reflections
Collecting and Using Assessment Data for Diagnostic Teaching
Diagnostic Teaching
Pre-Assessment
Formative Assessment
Final Assessment
Assessing Our Assessments
Summary
Curriculum Approaches for Data Driven Instruction
Curriculum Mapping and Data Driven Instruction
Standards-Based Unit Planning: Sample Math Unit on Data Analysis and Probability, "The Survey Says. . . ," Grades 3 to 5
Critical Questions for Unit Planning
Pre-Assessing the Learning Gap for Unit Planning
Chunking the Learning
Summary
Other Sample Unit Plans
Adjustable Assignments for Differentiated Learning
Options for Differentiated Learning
Adjustable Learning Grids
Adjustable Learning Elements
Flexible Grouping
Differentiating Pairs
Differentiating Small Groups
Summary
Instructional Strategies That Increase Student Learning
The Art and Science of Teaching
Memory Processes and the Cognitive Learning System
Differentiating Instructional Strategies
Recognizing Similarities and Differences/Using Metaphors and Analogies
Summarizing and Note Taking
Homework and Practice
Nonlinguistic Representations
Cooperative Group Learning
Summary
Data Driven Lesson Planning for Differentiated Learning
Using Data for Lesson Planning
Essential Elements for Data Driven Lesson Planning
Chunking the Learning for Sample Unit Plans
Summary
Conclusion: Putting It All Together for Student Growth and Achievement
How 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?
References
Index
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