Methods
for Differentiation &
Deeper Learning
“At last, a differentiation resource that embraces complex thinking and metacognition for all students. I appreciate the authors’ translations of research into practical applications that teachers can readily use with their diverse populations. This book is a must-read.” —Patti Drapeau, Educational Consultant, Maine Department of Education; Author; Adjunct Faculty, University of Southern Maine
“Teachers, teacher educators, and school leaders will love this book: differentiation and deeper learning made accessible for all!” —Andrea Honigsfeld, Professor of Education, Molloy College, New York
Instructional Methods for Differentiation and Deeper Learning by James H. Stronge and Xianxuan Xu presents educators with a toolkit for effective instruction filled with methods that improve student learning and success. Taking a practical approach to differentiation and deeper learning, Stronge and Xu outline these research-based instructional methods and illustrate how K–12 teachers, coaches, and administrators can use them in everyday practices. With the right structures in place, teachers and school leaders can motivate and engage all students. Readers will: • Review specific instructional methods they can use to foster growth and development for teachers and students • Explore the differences between differentiated remedial instruction, differentiation for gifted students, and differentiation for culturally and linguistically diverse students • Discover how they can move from research to practice in delivering effective teaching • Access ready-to-use handouts to help implement the methods immediately
INSTRUCTIONAL METHODS FOR DIFFERENTIATION & DEEPER LEARNING
Instructional
Instructional
Methods
for Differentiation &
• Learn the best questions to ask about differentiation and deeper learning
90000
solution-tree.com 9 781942 496533
STRONGE • XU
ISBN 978-1-942496-53-3
STRONGE • XU
Visit go.solution-tree.com/instruction to download the reproducibles in this book.
Deeper Learning James H. Stronge
Xianxuan Xu