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Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann



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Autore: Ryoo Jungwoo Visualizza persona
Titolo: Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann Visualizza cluster
Pubblicazione: Springer Nature, 2021
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.)
Disciplina: 519.5
Soggetto topico: Statistics 
Machine learning
Learning
Instruction
Knowledge representation (Information theory) 
Statistics for Social Sciences, Humanities, Law
Machine Learning
Statistics and Computing/Statistics Programs
Learning & Instruction
Knowledge based Systems
Educació STEM
Educació superior
Soggetto genere / forma: Llibres electrònics
Soggetto non controllato: 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
Persona (resp. second.): RyooJungwoo
WinkelmannKurt
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Innovative Learning Environments in STEM Higher Education  Visualizza cluster
ISBN: 3-030-58948-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466564503316
Lo trovi qui: Univ. di Salerno
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Serie: SpringerBriefs in Statistics, . 2191-544X