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Digital Twins in the Smart Classroom: Utilising Sensor Networks in the Educational Environment (Advances in Digital Twin Computing and Sensor Networks) - Softcover

 
9780443416323: Digital Twins in the Smart Classroom: Utilising Sensor Networks in the Educational Environment (Advances in Digital Twin Computing and Sensor Networks)
Softcover
ISBN 10: 044341632X ISBN 13: 9780443416323
Verlag: Elsevier, 2026

Inhaltsangabe

Digital Twins in the Smart Classroom: Utilising Sensor Networks in the Educational Environment explores virtual schools that have incorporated digital twin computing into the day-to-day running of the classroom. The book discusses the foundational concepts, practical applications, future directions, and the various aspects of virtual school, such as the student's daily activities, intelligent wireless sensor networks, privacy issues, and how the internet of things, artificial intelligence, machine learning, cloud computing, and fog/edge-computing can enable a smarter, more efficient, more optimized classroom.

The smart classroom allows the incorporation of digital devices and learning software into the school environment, as well as sensor networks for tracking classroom processes, for data gathering, and to developed insights into the management of scholarly activity. Additionally, modern infrastructure within schools can involve the installation of advanced Information and communication technology (ICT): student-friendly data can be collected from wearable devices (personal digital assistants, iPads, iPods, smart watches, etc.) via wireless sensor networks; smart sensors can monitor the classroom environment, such as noise level, CO2 level, temperature, humidity, lecturers’ voice, and students/lecturers’ motion (by PIR - passive infrared sensors), and much more.

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Über die Autorin bzw. den Autor

Dr. Tuan Anh Nguyen is Senior Principal Research Scientist at the Institute for Tropical Technology, Vietnam Academy of Science and Technology, Vietnam. He received B.S. in Physics from Hanoi University in 1992, and Ph.D. in Chemistry from the Paris Diderot University (France) in 2003. He was Visiting Scientist at Seoul National University (South Korea, 2004) and University of Wollongong (Australia, 2005). He then worked as Postdoctoral Research Associate and Research Scientist in the Montana State University (USA), 2006-2009. In 2012, he was appointed as the Head of the Microanalysis Department at Institute for Tropical Technology. His research activities include smart sensors, smart networks, smart hospitals, smart cities and advanced nanomaterials. He edited over 70 Elsevier, 12 CRC Press, 1 Springer, 1 RSC and 2 IGI Global books. He is Editor-In-Chief of "Kenkyu Journal of Nanotechnology & Nanoscience".

Von der hinteren Coverseite

The smart classroom allows the incorporation of digital devices and learning software into the school environment, as well as sensor networks for tracking classroom processes, for data gathering, and to developed insights into the management of scholarly activity. Additionally, modern infrastructure within schools can involve the installation of advanced Information and communication technology (ICT): student-friendly data can be collected from wearable devices (personal digital assistants, iPads, iPods, smart watches, etc.) via wireless sensor networks; smart sensors can monitor the classroom environment, such as noise level, CO2 level, temperature, humidity, lecturers’ voice, and students/lecturers’ motion (by PIR - passive infrared sensors); near-field communication can manage door security, personnel management, transportations, and digital wallets. The data from these devices can be evaluated using digital twin computing to reduce the disparity between real school and virtual school, and to generate more varied datasets. School digital twin is bridge between the real and virtual school. School digital twin also is the mirror that reflects the real school into the virtual school. Digital Twins in the Smart Classroom: Utilising Sensor Networks in the Educational Environment explores virtual schools that have incorporated digital twin computing into the day to day running of the classroom. The book discusses the foundational concepts, practical applications, and future directions. It covers the various aspects of virtual school, such as the student's daily activities, intelligent wireless sensor networks, the privacy issues, and how the internet of things, artificial intelligence, machine learning, cloud computing, fog/edge-computing can enable a smarter, more efficient, more optimised classroom.

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Verlag
Elsevier
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
044341632X
ISBN 13 
9780443416323
Einband
Taschenbuch
Anzahl der Seiten
436
Herausgeber
Nguyen
Kontakt zum Hersteller
ELSEVIER
https://www.elsevier.com/es-es

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