Data Driven Differentiation in the Standards-Based Classroom
Home > Society and Social Sciences > Education > Teaching skills and techniques > Data Driven Differentiation in the Standards-Based Classroom
24%
Data Driven Differentiation in the Standards-Based Classroom

Data Driven Differentiation in the Standards-Based Classroom


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Collect the data you need to reach every student! When it comes to meeting the rigorous new standards of the Common Core Curriculum, knowing how to collect, analyze, and use data makes all the difference. Fully updated to support the Common Core and other key standards, this informative book shares an author with the best-selling Differentiated Instructional Strategies: One Size Doesn’t Fit All. Veteran educators Gregory and Kuzmich provide user-friendly techniques for gathering qualitative and quantitative information, helping you tailor instruction and assessment for diverse learners. This resource is ideal for classroom teachers, curriculum developers, instructional leaders, and district administrators. Readers will find: Step-by-step guidance on gathering data to improve classroom dynamics, pinpoint student learning styles, adjust lessons for different learners, and inform diagnostic teaching and assessment Techniques for using data to enhance curriculum, including numerous unit and lesson plans fully linked to the Common Core A wealth of templates for fast and simple data collection Updated differentiation strategies for the Common Core and other key standards, including the Career and College Readiness Standards and the Standards of Mathematical Practice  Collect data with ease and discover new tools for differentiated teaching and learning! Praise for the First Edition: "This book reconciles meeting children’s affective needs with the new accountability requirements from the federal and state government. The title may sound daunting, but the chapters are extremely accessible." —Maria Elena Reyes, Associate Professor University of Alaska Fairbanks

Table of Contents:
Preface Acknowledgments About the Authors Introduction: Differentiating With Data for Student Growth and Achievement What Is Our Target? Challenges and Shifts Presented by the Common Core State Standards 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 1. 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 2. Collecting Data to Know the Learner Going With the Flow Learning Profiles Different Learning Preferences Different Intelligences Student Contracting for Reflective Learning Gender Differences Cultural Differences Pop Culture Differences 21st Century Learners and Technology Reflections 3. Collecting and Using Assessment Data for Diagnostic Teaching Diagnostic Teaching Pre-Assessment Formative Assessment Final Assessment Assessing Our Assessments Summary 4. 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 The Weather Reporter, Grades K to 2 Do You Know Your Rights? Grades 5 to 8 Argumentation Writing--Convince Me! Grades 9 to 12 5. Adjustable Assignments for Differentiated Learning Options for Differentiated Learning Adjustable Learning Grids Adjustable Learning Elements Flexible Grouping Differentiating Pairs Differentiating Small Groups Summary 6. Instructional Strategies That Increase Student Learning The Art and Science of Teaching Memory Processes and the Cognitive Learning System Differentiating Instructional Strategies Cooperative Group Learning Nonlinguistic Representations Summarizing and Note Taking Homework and Practice Recognizing Similarities and Differences/Using Metaphors and Analogies Summary 7. 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? What Are the Major Changes With Common Core State Standards? Why Is It Always About the Student? References Index

About the Author :
Gayle H. Gregory is first and foremost a teacher, having experienced teaching and learning in elementary, middle, and secondary schools, community colleges, and universities. She has had extensive district-wide experience as a curriculum consultant and staff development coordinator. Gayle was principal/course director at York University for the Faculty of Education, teaching in the teacher education program. Her areas of expertise include brain-compatible learning, differentiated instructional and assessment strategies, block scheduling, emotional intelligence, student motivation, RTI Tier One, collaborative learning, common core, renewal of secondary schools, enhancing teacher quality, coaching and mentoring, managing change, and building professional learning communities. She also a trainer for Visible Learning Plus with Corwin. She is an author of numerous books related to educational neuroscience and differentiated instruction, assessment, and curriculum, including the following titles: • Data Driven Differentiation in the Standards-Based Classroom, Second Edition (2014, with Lin Kuzmich) • Differentiated Instructional Strategies: One Size Doesn’t Fit All, Third Edition (2013, with Carolyn Chapman) • Differentiated Instructional Strategies Professional Learning Guide: One Size Doesn’t Fit All, Third Edition (2013) • Differentiated Literacy Strategies for English Language Learners, Grades K–6 and Differentiated Literacy Strategies for English Language Learners, Grades 7–12 (2011, with Amy Burkman) • Differentiated Instructional Strategies for the Block Schedule (2010, with Lynne E. Herndon) • Student Teams That Get Results: Teaching Tools for the Differentiated Classroom (2009, with Lin Kuzmich) • Teacher Teams That Get Results: 61 Strategies for Sustaining and Renewing Professional Learning Communities (2009, with Lin Kuzmich) • Differentiated Instructional Strategies for Science, Grades K–8 (2009, with Elizabeth Hammerman) • Differentiating Instruction With Style: Aligning Teacher and Learner Intelligences for Maximum Achievement (2005) • The Activities for Differentiated Classroom series (2007, with Carolyn Chapman) She is affiliated with organizations such as ASCD and Learning Forward. Her ASCD publication is The Motivated Brain: Improving Student Attention engagement and Perseverance (2015, with Martha Kaufeldt). Gayle consults internationally with teachers, administrators, and staff developers. She and her family of two daughters and two granddaughters all reside in Burlington, Ontario. Gayle is committed to lifelong learning and professional growth for herself and others. She may be contacted at gregorygayle@netscape.net, www.gaylehgregory.com, and @gaylegregory6.   Lin Kuzmich, of KCS, Inc., is an educational consultant, professor, and author from Loveland, CO. She served the Thompson School District in several roles as the assistant superintendent, executive director of secondary and elementary instruction, director of professional development, and a building principal. Her school was named a 2000 winner of the John R. Irwin Award for Academic Excellence and Improvement. In addition, for the past decade she has been involved in staff development through several universities and the Tointon Institute for Educational Change. Kuzmich is an adjunct professor at both Colorado State University and University of Northern Colorado. She is a senior consultant for the International Center for Leadership in Education, has provided training and consulting to school districts around the country, and has presented at numerous national conferences.


Best Sellers


Product Details
  • ISBN-13: 9781483332505
  • Publisher: Sage Publications Inc Ebooks
  • Publisher Imprint: Corwin Press Inc
  • Language: English
  • ISBN-10: 1483332500
  • Publisher Date: 22 May 2014
  • Binding: Digital download and online
  • No of Pages: 248


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Data Driven Differentiation in the Standards-Based Classroom
Sage Publications Inc Ebooks -
Data Driven Differentiation in the Standards-Based Classroom
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Data Driven Differentiation in the Standards-Based Classroom

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!