top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
Autore Ryoo Jungwoo
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.)
Disciplina 519.5
Collana SpringerBriefs in Statistics
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
ISBN 3-030-58948-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Record Nr. UNISA-996466564503316
Ryoo Jungwoo  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
Autore Ryoo Jungwoo
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.)
Disciplina 519.5
Collana SpringerBriefs in Statistics
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
ISBN 3-030-58948-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Record Nr. UNINA-9910473457603321
Ryoo Jungwoo  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui