Leading scientists reveal how to improve instruction and student achievement across multiple domains, including science, mathematics, reading, and writing.
Leading scientists reveal how to improve instruction and student achievement across multiple domains, including science, mathematics, reading, and writing.
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.
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.
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