Innovative learning environments in STEM higher education : opportunities, challenges, and looking forward / Jungwoo Ryoo, Kurt Winkelmann, editors.
Ryoo, Jungwoo, editor.; Winkelmann, Kurt, editor.
2021
Q181
Available Online

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Title Innovative learning environments in STEM higher education : opportunities, challenges, and looking forward / Jungwoo Ryoo, Kurt Winkelmann, editors.
ISBN 9783030589486 (electronic bk.)
303058948X (electronic bk.)
9783030589479
DOI https://doi.org/10.1007/978-3-030-58948-6
Published Cham : Springer, [2021]
Language English
Description 1 online resource (xv, 137 pages) : illustrations (chiefly color)
Other Standard Identifiers 10.1007/978-3-030-58948-6 doi
Call Number Q181
Dewey Decimal Classification 507.1/1
Summary As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Open access
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 31, 2021).
Added Author Ryoo, Jungwoo, editor.
Winkelmann, Kurt, editor.
Series SpringerBriefs in statistics. 2191-544X
Available in Other Form 3030589471
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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1. Introduction
2. X-FILEs Vision for personalized and Adaptive Learning
3. X-FILEs Vision for Multi-modal Learning Formats
4. X-FILEs Vision for Extended/Cross Reality (XR)
5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML)
6. Cross-Cutting Concerns
7. Epilogue.

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