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.
Global Perspectives of Nanoscience and Engineering Education [[electronic resource] /] / edited by Kurt Winkelmann, Bharat Bhushan
Global Perspectives of Nanoscience and Engineering Education [[electronic resource] /] / edited by Kurt Winkelmann, Bharat Bhushan
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (399 p.)
Disciplina 620.5071
Collana Science Policy Reports
Soggetto topico Nanotechnology
Science education
Science—Social aspects
Nanochemistry
Science Education
Nanotechnology and Microengineering
Societal Aspects of Physics, Outreach and Education
ISBN 3-319-31833-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Size and scale -- Use of technology in K-12 schools for STEM education -- Review of probe microscopy courses from around the world -- History and accomplishments of the NNIN program -- Educational aspects of the nano in society work in the UCSB Center for Nanotechnology in Society -- Nanotechnology for community and technical college students -- Nanotechnology in German schools -- Implications of the interdisciplinary nature of nanoscience education -- Nanoscale informal science education network -- Topics for highschool nanoscale science and technology -- Online nanoeducation resources -- Nanoscale science and nanotechnology education in the informal education setting -- Implementing US state-level nanotech education standards -- A model for postsecondary nanotechnology education -- Nanotechnology safety education -- The need for a robust and interdependent network throughout the formal and informal educational supply chain -- Nanotechnology education in Asia.
Record Nr. UNINA-9910254046503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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. 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