Editors:
- Is to collect all the current developments in TEL as well as to provide some suggestions for future directions
- Brings the current and future development ideas into the reach of the research and academic communities
- Contributes to generalize the experience of the COVID-19 crisis and its impact to quality of learning and education
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 456)
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Table of contents (32 chapters)
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Front Matter
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The Future of Learning
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Front Matter
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Eruptive Technologies in Learning
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Front Matter
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Pedagogy of Active and Practical Learning Online
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Front Matter
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About this book
The use of technology impacts the way educational content is presented and acquired in many areas. The designs of immersive educational worlds and the combination of rational and emotional educational experiences that cannot be designed in the same way in the traditional classroom will come increasingly into focus.
Seen in this way the book also contributes to generalize the experience of the COVID-19 crisis and its impact to quality of learning and education.
Scientifically based statements as well as excellent experiences (best practice) are necessary.
This book contains scientific papers in the fields of:
The future of learning
Eruptive technologies in learning
Pedagogy of online learning
Deep learning vs machine learning: opportunities and challenges
Reimagining and rapid transition of learning
Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
Editors and Affiliations
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CTI Global, Frankfurt, Germany
Michael E. Auer
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Faculty of Informatics and Computer Science, The British University in Egypt, Cairo, Egypt
Andreas Pester
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College of Engineering, University of Georgia, Athens, USA
Dominik May
Bibliographic Information
Book Title: Learning with Technologies and Technologies in Learning
Book Subtitle: Experience, Trends and Challenges in Higher Education
Editors: Michael E. Auer, Andreas Pester, Dominik May
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-04286-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-04285-0Published: 13 September 2022
eBook ISBN: 978-3-031-04286-7Published: 12 September 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XIV, 706
Number of Illustrations: 88 b/w illustrations, 187 illustrations in colour
Topics: Computational Intelligence, Study and Learning Skills, Machine Learning