Serious Games in Personalized Learning (ePub)
Serious Games in Personalized Learning investigates game-based teaching and learning at a time when learning and training systems are increasingly integrating serious games, machine-learning artificial intelligence models, and adaptive technologies....
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Serious Games in Personalized Learning investigates game-based teaching and learning at a time when learning and training systems are increasingly integrating serious games, machine-learning artificial intelligence models, and adaptive technologies. Game-based education provides rare data for measuring, assessing, and evaluating not just a game's effectiveness but the acquisition of information and knowledge that a student may gain through playing a learning game. This book synthesizes contemporary research, frameworks, and models centered on the design and delivery of serious games that truly personalize the learning experience. Scholars of educational technology, instructional design, human performance, and more will find a comprehensive guide to the history, practical implications, and data-collection potential inherent to these fast-evolving tools.
Scott M. Martin is an inventor, educator, entrepreneur, and author. He is Associate Professor of Computer Game Design and previously founded and directed the Virginia Serious Game Institute (VSGI) and the Computer Game Design Programs at George Mason University in Fairfax, Virginia, U.S.A. Dr. Martin earned undergraduate and graduate degrees from Johns Hopkins University and his doctorate degree from the University of Maryland, College Park.
James R. Casey is Interim Director of the Virginia Serious Game Institute (VSGI) and Assistant Professor of Computer Game Design at George Mason University, U.S.A.
Stephanie Kane is Research Coordinator for the VSGI and is currently earning her master of arts degree in computer game design at George Mason University, U.S.A.
- Autoren: Scott M. Martin , James R. Casey , Stephanie Kane
- 2021, 1. Auflage, 304 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000400115
- ISBN-13: 9781000400113
- Erscheinungsdatum: 12.07.2021
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- Dateiformat: ePub
- Größe: 5.86 MB
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