Overview
- Offers a forward-thinking, multi perspective for significant and sustained improvement in learning at all levels
- Includes links to promising technologies available at no cost and accessible to all readers
- Contributions represent researchers and practitioners from a variety of cultures and institutions
Part of the book series: Educational Communications and Technology: Issues and Innovations (ECTII)
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Table of contents (25 chapters)
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Front Matter
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Trajectory of AI. From Statistics and Machine Learning to Deep Learning
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Front Matter
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Enhancing Human Intelligence Through AI
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Front Matter
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How Artificial Intelligence Imitates Human Neuroanatomy
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Front Matter
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Keywords
- trends and future of learning
- learning technologies
- Texas Center for Educational Technology
- neuro-cognitive definition of learning
- creativity in learning across disciplines
- D-school and designing thinking
- self-directed learning
- learning paths and analytics
- learning technologies and artificial intelligence
- the “new” K12 digital ecosystem
- AI 2.0 and education
- digital curricula in K-12
- intelligent textbook for critical thinking in biology
- conversational interfaces for learning
- integrating robotics and the curriculum
- data-driven education
- the neuroscience of learning
- informal learning in museums
About this book
Editors and Affiliations
About the editors
Mark Albert’s professional goal in life is to leverage machine learning to automate the collection and inference of clinically useful health information to improve clinical research. His projects in wearable sensor analytics have improved the measurement of health outcomes for individuals with Parkinson's disease, stroke, and transfemoral amputations with a variety of additional populations and contexts including children with cerebral palsy as well as healthy toddler activity tracking. Current projects include video-based activity tracking and mobile robotic platforms, all in an effort to improve measures of clinical outcomes to justify therapeutic interventions.
Lin Lin is a Professor of Learning Technologies at the University of North Texas. Lin received her doctoral degree at Teachers College, Columbia University. Lin’s research focuses on human-technology interactions, and life-long learning with innovative pedagogies and technologies. Specifically, she has published research in media multitasking, cognitive off-loading, multimedia design, executive functions, and (AI, VR) technology-supported STEM and STEM-enabling skills. Currently, Lin serves as the Director of Texas Center for Educational Technology (TCET). She also serves as the Editor-in-chief of one of the top-tier journals, Educational Technology Research and Development (ETR&D Development Section).
J. Michael Spector is Professor at UNT, was previously Professor of Educational Psychology at the University of Georgia, Associate Director of the Learning Systems Institute at Florida State University, Chair of Instructional Design, Development and Evaluation at Syracuse University, and Director of the Educational Information Science and Technology Research Program at the University of Bergen. He earned a Ph.D. from The University of Texas. He is a visiting research professor at Beijing Normal University, at East China Normal University, and the Indian Institute of Technology-Kharagpur. His research focuses on assessing learning in complex domains, inquiry and critical thinking skills, and program evaluation. He was Executive Director of the International Board of Standards for Training, Performance and Instruction and a Past-president of the Association for Educational and Communications Technology. He is Editor Emeritus of Educational Technology Research & Development; he edited two editions of the Handbook of Research on Educational Communications and Technology and the SAGE Encyclopedia of Educational Technology and more that 150 publications to his credit.
Lemoyne S. Dunn is an Adjunct Graduate Faculty member at UNT who previously served as Director of a Title III Grant and as a Project Director for the Intel Teach to the Future program training over 22,000 educators in north and west Texas. She also served as a Lead Evaluator for three of the seven TARGET grants evaluated by the Texas Center for Educational Technology. She earned her PhD from UNT, as well as two Masters degrees and multiple certificates and endorsements. Her B.S. is from Texas A&M University. Her areas of interest include Educational Technology, Cognitive Science, and Gifted Education.
Bibliographic Information
Book Title: Bridging Human Intelligence and Artificial Intelligence
Editors: Mark V. Albert, Lin Lin, Michael J. Spector, Lemoyne S. Dunn
Series Title: Educational Communications and Technology: Issues and Innovations
DOI: https://doi.org/10.1007/978-3-030-84729-6
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: Association for Educational Communications and Technology 2022
Hardcover ISBN: 978-3-030-84728-9Published: 25 February 2022
Softcover ISBN: 978-3-030-84731-9Published: 26 February 2023
eBook ISBN: 978-3-030-84729-6Published: 24 February 2022
Series ISSN: 2625-0004
Series E-ISSN: 2625-0012
Edition Number: 1
Number of Pages: XVI, 363
Number of Illustrations: 48 b/w illustrations, 73 illustrations in colour
Topics: Educational Technology, Learning & Instruction, Educational Psychology, Artificial Intelligence