Educational computer games continue to overwhelm educators with design and development complexities, time, and cost and underwhelm learners regarding immersive, intuitive, and enjoyable game play. No complete model or comprehensive guideline for content development or game design previously existed for educators and game designers to follow in the creation of educational games that adapt to learners in real-time. This book documents the research resulting in the development and validation of the ALGAE (Adaptive Learning GAme dEsign) model, a comprehensive adaptive learning model based on game design theories and practices, instructional strategies, and adaptive models. This research extends previous research in game design, instructional strategies, and adaptive learning, combining these three components into a single complex model. The results of this study include the validation and applicability of the ALGAE model, benefits and challenges of using the model, and insights regarding the focused and unfocused implementation approaches. The study also reveals the cross-industry applicability of the model to include government agencies, military units, game industry, and academia.
"synopsis" may belong to another edition of this title.
Dr. Edward Lavieri is a veteran game designer and developer with a strong academic background. He earned a Doctorate of Computer Science from Colorado Technical University and three Masters of Science degrees in related fields. He is the founder and creative director of three19, a software design and development studio specializing in educational games. He has been developing and teaching computer science courses since 2002. Dr. Lavieri developed the ALGAE model and is an active adaptive learning researcher and strong advocate for the use of games in education.
"About this title" may belong to another edition of this title.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 23701653
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 23701653
Quantity: Over 20 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Seller Inventory # C9781506164113
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 23701653-n
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 23701653-n
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Educational computer games continue to overwhelm educators with design and development complexities, time, and cost and underwhelm learners regarding immersive, intuitive, and enjoyable game play. No complete model or comprehensive guideline for content development or game design previously existed for educators and game designers to follow in the creation of educational games that adapt to learners in real-time. This book documents the research resulting in the development and validation of the ALGAE (Adaptive Learning GAme dEsign) model, a comprehensive adaptive learning model based on game design theories and practices, instructional strategies, and adaptive models. This research extends previous research in game design, instructional strategies, and adaptive learning, combining these three components into a single complex model. The results of this study include the validation and applicability of the ALGAE model, benefits and challenges of using the model, and insights regarding the focused and unfocused implementation approaches. The study also reveals the cross-industry applicability of the model to include government agencies, military units, game industry, and academia. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781506164113
Quantity: 1 available