Handbook of Game-Based Learning (Hardcover)

A comprehensive introduction to the latest research and theory on learning and instruction with computer games. This book offers a comprehensive introduction to the latest research on learning and instruction with computer games. Unlike other books on the topic, which emphasize game development or best practices, Handbook of Game-Based Learning is based on empirical findings and grounded in psychological and learning sciences theory. The contributors, all leading researchers in the field, offer a range of perspectives, including cognitive, motivational, affective, and sociocultural. They explore research on whether (and how) computer games can help students learn educational content and academic skills; which game features (including feedback, incentives, adaptivity, narrative theme, and game mechanics) can improve the instructional effectiveness of these games; and applications, including games for learning in STEM disciplines, for training cognitive skills, for workforce learning, and for assessment. The Handbook offers an indispensable reference both for readers with practical interests in designing or selecting effective game-based learning environments and for scholars who conduct or evaluate research in the field. It can also be used in courses related to play, cognition, motivation, affect, instruction, and technology. Contributors Roger Azevedo, Ryan S. Baker, Daphne Bavelier, Amanda E. Bradbury, Ruth C. Clark, Michele D. Dickey, Hamadi Henderson, Bruce D. Homer, Fengfeng Ke, Younsu Kim, Charles E. Kinzer, Eric Klopfer, James C. Lester, Kristina Loderer, Richard E. Mayer, Bradford W. Mott, Nicholas V. Mudrick, Brian Nelson, Frank Nguyen, V. Elizabeth Owen, Shashank Pawar, Reinhard Pekrun, Jan L. Plass, Charles Raffale, Jonathon Reinhardt, C. Scott Rigby, Jonathan P. Rowe, Richard M. Ryan, Ruth N. Schwartz, Quinnipiac Valerie J. Shute, Randall D. Spain, Constance Steinkuehler, Frankie Tam, Michelle Taub, Meredith Thompson, Steven L. Thorne, A. M. Tsaasan

General

Imprint:	MIT Press
Country of origin:	United States
Series:	The MIT Press
Release date:	August 2020
First published:	2020
Editors:	Jan L. Plass (Paulette Goddard Chair in Digital and Learning Science) • Richard E. Mayer (Professor) • Bruce D Homer (Associate Professor)
Dimensions:	229 x 178 x 32mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	600
ISBN-13:	978-0-262-04338-0
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Computer software packages > Computer games Books > Social sciences > Psychology > Philosophy & theory of psychology > Cognitive theory Books > Social sciences > Education > Educational resources & technology > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-262-04338-6
Barcode:	9780262043380

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