jump to search box

Developmental cognitive science goes to school / edited by Nancy L. Stein and Stephen W. Raudenbush.


At the Library

Other libraries

Publication date:
New York : Routledge, 2011.
  • Book, Conference Proceedings
  • xiii, 346 p. : ill. ; 23 cm.
Based on a conference held from 10 to 14 October 2007 in Chicago.
Includes bibliographical references and index.
  • TABLE OF CONTENTS Preface Acknowledgements Volume Contributors List of Figures List of Tables 1. Developmental and Learning Sciences go to School: An Overview Nancy L. Stein Part I: Reading, Learning, and Teaching 2. Instructional Influences on Growth of Early Reading: Individualizing Student Learning Frederick J. Morrison & Carol M. Connor 3. Literacies for Learning: A Multiple Source Comprehension Illustration Susan R. Goldman, Yasuhiro Ozuru, Jason L.G. Braasch, Flori H. Manning, Kimberly A. Lawless, Kimberley W. Gomez, & Michael J. Slanovits 4. Constraints on Learning from Expository Science Texts Jennifer Wiley & Christopher A. Sanchez 5. Two Challenges: Teaching Academic Language and Working Productively with Schools Catherine E. Snow & Claire White 6. Learning to Remember: Mothers and Teachers Talking with Children Peter A. Ornstein, Catherine A. Haden, & Jennifer L. Coffman Part II: Science and Learning 7. A Theory of Coherence and Complex Learning in the Physical Sciences: What Works (and What Doesn't) Nancy L. Stein, Marc W. Hernandez, & Florencia K. Anggoro 8. Science Classrooms as Learning Labs Rochel Gelman & Kimberly Brenneman 9. A Research-Based Instructional Model for Integrating Meaningful Learning in Elementary Science and Reading Comprehension: Implications for Policy and Practice Nancy R. Romance & Michael R. Vitale 10. Children's Cognitive Algebra and Intuitive Physics as Foundations of Early Learning in the Sciences Friedrich Wilkening 11. Learning Newtonian Physics with Conversational Agents and Interactive Simulations Arthur C. Graesser, Don Franceschetti, Barry Gholson, & Scotty Craig Part III: Mathematical Learning 12. Emerging Ability to Determine Size: Use of Measurement Janellen Huttenlocher, Susan C. Levine, & Kristin R. Ratliff 13. Number Development in Context: Variations in Home and School Input During the Preschool Years Susan C. Levine, Elizabeth A. Gunderson, & Janellen Huttenlocher 14. Analogy and Classroom Mathematics Learning Lindsey E. Richland 15. Gestures in the Mathematics Classroom: What's the Point? Martha W. Alibali, Mitchell J. Nathan, & Yuka Fujimori 16. Perceptual Learning and Adaptive Learning Technology: Developing New Approaches to Mathematics Learning in the Classroom Christine M. Massey, Philip J. Kellman, Zipora Roth, & Timothy Burke 17. Algebraic Misconceptions: A Test for Teacher (and Researcher Use) for Diagnosing Misconceptions of the Variable Joan Lucariello & Michele Tine 18. Towards Instructional Design for Grounded Mathematics Learning: The Case of the Binomial Dor Abrahamson Part IV: Theoretical and Methodological Concerns 19. Linking Cognitive and Developmental Research and Theory to Problems of Educational Practice: A Consideration of Agendas and Issues James W. Pellegrino 20. The Evolution of Head Start: Why the Combination of Politics and Science Changed Program Management More than Program Design Thomas D. Cook, Manyee Wong, & Vivian C. Wong 21. Connecting Classroom Developmental Science to Educational Policy by Studying Classroom Instruction Stephen W. Raudenbush Index.
  • (source: Nielsen Book Data)
Publisher's Summary:
This book addresses core issues related to school learning and the use of developmental/cognitive science models to improve school-based instruction. The contributors comprise a veritable "who's who" of leading researchers and scientists who are broadly trained in developmental psychology, cognitive science, economics, sociology, statistics, and physical science, and who are using basic learning theories from their respective disciplines to create better learning environments in school settings. Developmental Cognitive Science Goes to School: presents evidence-based studies that describe models of complex learning within specific subject-area disciplines focuses on domain knowledge and how this knowledge is structured in different domains across the curriculum gives critical attention to the topic of the ability to overcome errors and misconceptions addresses models that should be used to begin instruction for populations of children who normally fail at schooling. This is a must-read volume for all researchers, students, and professionals interested in evidence-based educational practices and issues related to domain-specific teaching and learning.
(source: Nielsen Book Data)
Stein, Nancy L.
Raudenbush, Stephen W.

powered by Blacklight
© Stanford University. Stanford, California 94305. (650) 725-1064. Terms of Use | Copyright Complaints | Opt Out of Analytics
jump to top