Artificial Intelligence, Mixed Reality, and the Redefinition of the Classroom

Author:   Scott M. Martin ,  Christopher Jennings
Publisher:   Rowman & Littlefield
ISBN:  

9781475847284


Pages:   190
Publication Date:   07 May 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Artificial Intelligence, Mixed Reality, and the Redefinition of the Classroom


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Overview

Artificial Intelligence, Mixed Reality, and the Redefinition of the Classroom highlights new interpretations, understandings, and emerging technologies that radically remake traditional educational models, structures, and systems, and upend how faculty teach, and students learn. It explore new educational economic models that no longer depend on buildings to educate, and describes the growing applications of artificial intelligence, machine-learning algorithms in teaching and learning. This book also defines new approaches to personalize learning, including the use of artificial cognitive learning maps that mimic a learners’ biological learning map, that can also be applied to create a learner’s secure silhouette useful for truly personalized academic intervention recommendations. The emerging and maturing technological advances that allow these transformational opportunities may also upend the traditional educational institution: the familiar spaces, walls, and buildings, but also the delivery methods of knowledge, and the learner’s method of knowledge acquisition. Artificial Intelligence, Mixed Reality, and the Redefinition of the Classroom promises to inform the teacher, administrator, and board member to hopefully not just passively read about new and exciting innovations and tools available to improve the practice of education, but also to excite and inspire each to apply these innovations to better prepare our learners to succeed within this 4th Industrial Revolution.

Full Product Details

Author:   Scott M. Martin ,  Christopher Jennings
Publisher:   Rowman & Littlefield
Imprint:   Rowman & Littlefield
Dimensions:   Width: 15.10cm , Height: 1.50cm , Length: 21.80cm
Weight:   0.295kg
ISBN:  

9781475847284


ISBN 10:   1475847289
Pages:   190
Publication Date:   07 May 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

This book is indeed radical and comes at an inflection point when educators, administrators, and learning designers are struggling to make sense of the empowering potential of technology in transforming our teaching and learning practices to meet the needs of the changing student demographic and skillset. Scott Martin intelligently and boldly provides a peak into the future of higher education using a principled and actionable AI framework inspiring us to seriously consider changing our outdated teaching models. -- Nada Dabbagh, Professor and Director of Learning Technologies, George Mason University This fascinating book by one of the leaders in game-based learning envisions the classroom of the future as an intersection of learners, learning, artificial intelligence, and virtual reality. It challenges the reader to think about the technology-enabled disruption at the doorstep of education and invites us to proactively transform the disruption into opportunities for enhancing learning. This book deserves serious attention. -- Ashok K. Goel, Professor, School of Interactive Computing, Georgia Institute of Technology; Editor, AAAI AI Magazine; Co-Chair, CogSci 2019


Author Information

Dr. Scott M. Martin is an inventor, mentor, educator, entrepreneur, and author. He is the founding Director of the Virginia Serious Game Institute (VSGI), previous Director of the Computer Game Design programs, and current professor at George Mason University in Fairfax, Virginia. Dr. Martin’s research focus has been on designing new deep-learning algorithmic models applied to teaching and learning, combining the fields of data science and the social sciences of human knowledge acquisition. He has founded multiple institutes, academics programs, research centers, schools, and businesses, and he is the inventor of multiple patents and patent-pending innovations in educational technology.

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