Cognitive and Affective Perspectives on Immersive Technology in Education (Hardcover)

Immersive technology as an umbrella concept consists of multiple emerging technologies including augmented reality (AR), virtual reality (VR), gaming, simulation, and 3D printing. Research has shown immersive technology provides unique learning opportunities for experiential learning, multiple perspectives, and knowledge transfer. Due to its role in influencing learners' cognitive and affective processes, it is shown to have great potential in changing the educational landscape in the decades to come. However, there is a lack of general cognitive and affective theoretical framework to guide the diverse aspects of immersive technology research. In fact, lacking the cognitive and affective theoretical framework has begun to hamper the design and application of immersive technology in schools and related professional training. Cognitive and Affective Perspectives on Immersive Technology in Education is an essential research book that explores methods and implications for the design and implementation of upcoming immersive technologies in pedagogical and professional development settings. The book includes case studies that highlight the cognitive and affective processes in immersive technology as well as the successful applications of immersive technology in education. Featuring a wide range of topics such as curriculum design, K-12 education, and mobile learning, this book is ideal for academicians, educators, policymakers, curriculum developers, instructional designers, administrators, researchers, and students.

General

Imprint:	Business Science Reference
Country of origin:	United States
Release date:	May 2020
Editors:	Robert Z. Zheng
Dimensions:	279 x 216mm (L x W)
Format:	Hardcover
Pages:	300
ISBN-13:	978-1-79983-250-8
Categories:	Books > Social sciences > Education > Teaching skills & techniques Books > Social sciences > Education > Educational resources & technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-79983-250-3
Barcode:	9781799832508

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