The Cambridge Handbook of Cognition and Education

John Dunlosky is a Professor of Psychology in the Department of Psychological Sciences and Director of the Science of Learning and Education Center at Kent State University, Ohio. He received the Distinguished Scholar Award in 2010 from Kent State University and is a founder of the International Association for Metacognition. Katherine A. Rawson is a Professor of Psychology in the Department of Psychological Sciences at Kent State University, Ohio. She has received numerous awards for her research, including the US Presidential Early Career Award for Scientists and Engineers, the Outstanding Research and Scholarship Award from Kent State University, Ohio, and the Outstanding Early Career Award from the Psychonomic Society.

'What does cognitive psychology have to offer for those who want to make instruction and education more effective? This Handbook provides expert and up-to-date analyses of the many strands in this complex interdisciplinary field. Edited by two of the most dynamic and respected researchers working in the area, the Handbook should be very useful for those working in this burgeoning field and for those hoping to join the field.' Hal Pashler, University of California, San Diego

• How cognitive psychology can inform evidence-based education reform: an overview of The Cambridge Handbook of Cognition and Education John Dunlosky and Katherine A. Rawson; Part I. Foundations: 1. How the learning sciences can inform cognitive psychology Keith Sawyer and John Dunlosky; 2. Quackery in educational research Daniel H. Robinson and Joel R. Levin; Part II. Science and Math: 3. Teaching critical thinking as if our future depends on it, because it does Diane F. Halpern and Heather A. Butler; 4. Improving students' scientific thinking David Klahr, Corinne Zimmerman and Bryan J. Matlen; 5. Spatial skills, reasoning, and mathematics Nora S. Newcombe, Julie L. Booth and Elizabeth Gunderson; 6. Iterative development of conceptual and procedural knowledge in mathematics learning and instruction Bethany Rittle-Johnson; 7. Development of fraction understanding Pooja G. Sidney, Clarissa A. Thompson and John E. Opfer; 8. Learning how to solve problems by studying examples Tamara van Gog, Nikol Rummel and Alexander Renkl; 9. Harnessing our hands to teach mathematics: how gesture can be used as a teaching tool in the classroom Elizabeth M. Wakefield and Susan Goldin-Meadow; Part III. Reading and Writing: 10. Fundamental components of reading comprehension Anne E. Cook and Edward J. O'Brien; 11. Writing as a learning activity Perry D. Klein and Aartje van Dijk; 12. Bilingualism and education: connecting cognitive science research to language learning Gigi Luk and Judith F. Kroll; 13. Note-taking Stephen T. Peverly and Amie D. Wolf; 14. Multiple text comprehension Jean-François Rouet, M. Anne Britt and Anna Potocki; 15. Interventions to promote reading for understanding: current evidence and future directions Elizabeth A. Stevens and Sharon Vaughn; Part IV. General Learning Strategies: 16. When does interleaving practice improve learning? Paulo F. Carvalho and Robert L. Goldstone; 17. Correcting student errors and misconceptions Elizabeth J. Marsh and Emmaline E. Drew; 18. How multimedia can improve learning and instruction Richard E. Mayer; 19. Multiple-choice and short-answer quizzing on equal footing in the classroom: potential indirect effects of testing Mark A. McDaniel and Jeri L. Little; 20. Collaborative learning: the benefits and costs Timothy J. Nokes-Malach, Cristina D. Zepeda, Elizabeth Richey and Soniya Gadgil; 21. Self-explaining: learning about principles and their application Alexander Renkl and Alexander Eitel; 22. Enhancing the quality of student learning using distributed practice Melody Wiseheart, Carolina E. Küpper-Tetzel, Tina Weston, Alice S. N. Kim, Irina V. Kapler and Vanessa Foot; Part V. Metacognition: 23. Self-regulation in computer-assisted learning systems Roger Azevedo, Nicholas V. Mudrick, Michelle Taub and Amanda E. Bradbury; 24. Improving students' metacomprehension accuracy Thomas D. Griffin, Marta K. Mielicki and Jennifer Wiley; 25. Calibration and self-regulated learning: making the connections Douglas J. Hacker and Linda Bol; 26. Teachers' judgments of student learning of mathematics Keith W. Thiede, Steven Oswalt, Jonathan L. Brendefur, Michele B. Carney and Richard D. Osguthorpe; 27. Learning strategies and self-regulated learning Philip H. Winne and Zahia Marzouk.