Learning Science: Theory, Research, and Practice

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Learning Science: Theory, Research, and Practice

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  • 製本 Hardcover:ハードカバー版／ページ数 384 p.
  • 言語 ENG
  • 商品コード 9781260457995
  • DDC分類 153.15

Full Description

A group of distinguished experts in the field of brain science provide an overview of learning science today and its future, while offering insights for improving educational practice.
Whether you're a researcher, educator, administrator, or policymaker, Learning Science brings you up to date on the state of learning science today—and on where it's headed. Presenting the newest research and ideas of leading authorities in their respective fields, it draws on many disciplines—from psychology and sociology to data science and cognitive science—and offers solutions to our most urgent educational challenges. 
Learning Science also bridges the gap between theory and practice, providing concrete examples of how theory drives educational innovation. It is organized into three sections: Foundations of Learning Science (broad explorations of learning science approaches to education, learning, and teaching); Technology, Algorithms, and Educational Practice (how advances in technology, data science, and AI are being harnessed to improve educational outcomes); and From Research to Practice (best practices and exemplary educational programs based on findings of learning science).
Contributors include:
•Arthur Grasser, University of Memphis  •Rose Luckin and Mutlu Cukurova, UCL Knowledge Lab, London•Tanya Joosten, University of Wisconsin•Melina Uncapher, University of California, San Francisco•Xiangen Hu, Central China Normal University and University of Memphis•Susan Fuhrman, Teachers College, Columbia University•Ryan Baker, Jaclyn Ocumpaugh, and Juan Miguel L. Andres, University of Pennsylvania•Neil Heffernan and Korinn Ostrow, Worcester Polytechnic Institute•Alfred Essa, McGraw-Hill Education•Christopher Dede, Tina Grotzer, Amy Kamarainen, and Shari Metcalf, Harvard University•Richard C. Larson, M. Elizabeth Murray, and Daniel D. Frey, Massachusetts Institute of Technology•Jennifer Kotler, Sesame Workshop  •Valerie Shute, Fengfeng Ke, and Russell Almond, Florida State University

Contents

CONTENTS
CONTRIBUTORS
PREFACE
ACKNOWLEDGMENTS
ABOUT THE EDITOR
PART I FOUNDATIONS OF LEARNING SCIENCE
CHAPTER 1 Learning Science Principles and Technologies with Agents That Promote Deep Learning
CHAPTER 2 Learning Sciences Beyond Cognition: Exploring Student Interactions in Collaborative Problem Solving
CHAPTER 3 Learning Science Research Through a Social Scientific Lens
CHAPTER 4 Semantic Representation and Analysis (SRA) and Its Application in Conversation-Based Intelligent Tutoring Systems (CbITS)
PART II NEW PERSPECTIVES ON LEARNING SCIENCE
CHAPTER 5 BROMP Quantitative Field Observations: A Review
CHAPTER 6 Science of Learning and Learning Engineering: Advancing the Relationship Between Learning Sciences and Teaching Practice
CHAPTER 7 The Learning Sciences and Education Schools
PART III FROM THEORY AND RESEARCH TO EDUCATIONAL PRACTICE
CHAPTER 8 Advancing the State of Online Learning: Stay Integrated, Stay Accessible, Stay Curious
CHAPTER 9 Designing Immersive Authentic Simulations That Enhance Motivation and Learning: EcoLearn
CHAPTER 10 MIT BLOSSOMS—High School OER STEM Lessons Leading to Deep Learning, for Students and Teachers
CHAPTER 11 The Art of Learning Science at Sesame Workshop
CHAPTER 12 How to Increase Learning While Not Decreasing the Fun in Educational Games
INDEX