Innovative Learning Environments in STEM Higher Education

Opportunities, Challenges, and Looking Forward

Thumbnail
Contributor(s)
Ryoo, Jungwoo (editor)
Winkelmann, Kurt (editor)
Language
English
Afficher la notice complète
Résumé
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.
URI
https://doab-dev.siscern.org/handle/20.500.12854/190948
Keywords
Statistics for Social Sciences, Humanities, Law; Machine Learning; Statistics and Computing/Statistics Programs; Learning & Instruction; Knowledge based Systems; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Statistics and Computing; Education; Innovative Learning Environments; ILEs; Science, Technology, Engineering, and Math; STEM; virtual reality; VR; augmented reality; mixed reality; cross reality; extended reality; artificial intelligence; AI; adaptive learning; personalized learning; higher education; multimodal learning; mobile learning; Open Access; Social research & statistics; Mathematical & statistical software; Teaching skills & techniques; Cognition & cognitive psychology; Expert systems / knowledge-based systems; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software; thema EDItEUR::J Society and Social Sciences::JN Education::JNT Teaching skills and techniques; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
DOI
10.1007/978-3-030-58948-6
ISBN
9783030589486
Publisher
Springer Nature
Publisher website
http://www.springernature.com/oabooks
Publication date and place
2021
Grantor
Series
SpringerBriefs in Statistics,
Pages
137