The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them

Daniel L. Schwartz

ISBN 10: 0393709264 / ISBN 13: 9780393709261

Editore: WW Norton & Co, 2016

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Superior learning tools for teachers and students, from A to Z. Num Pages: 288 pages, 26 illustrations. BIC Classification: GBC; JN. Category: (P) Professional & Vocational. Dimension: 254 x 203. . . 2016. 1st Edition. Paperback. . . . .

Codice articolo V9780393709261

Dati bibliografici

• Titolo: The ABCs of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them
• Editore: WW Norton & Co
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 0393709264
• ISBN 13: 9780393709261
• Rilegatura: Brossura
• Edizione: prima edizione
• Condizione: New

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Riassunto

The ABCs of How We Learnknow

Informazioni sull?autore

Daniel L. Schwartz, PhD, is the Dean of the Stanford University Graduate School of Education and holds the Nomellini-Olivier Chair in Educational Technology. He is an award-winning learning scientist, who also spent eight years teaching secondary school in Los Angeles and Kaltag, Alaska. His special niche is the ability to produce novel and effective learning activities that also test basic hypotheses about how people learn. Jessica M. Tsang, PhD, is a researcher and instructor at Stanford University's Graduate School of Education who studies how to design instruction that naturally recruits students' native capacities for learning and understanding. Her interdisciplinary research bridges between cognitive neuroscience and the design of effective classroom practices. She has previously worked in the fields of education philanthropy, urban school reform, and educational media technology. Kristen P. Blair, PhD, is a Senior Research Scholar and Instructor at Stanford University's Graduate School of Education. She develops technologies to support students' learning in math and science, and she studies child development and learning in classroom and in family contexts. She holds a PhD in Learning Sciences and Technology Design and a BS in Mathematical and Computational Science, both from Stanford University.