Del i serien Advances in Digital Twin Computing and Sensor Networks

Digital Twins in the Smart Classroom

Nyhet

Utilising Sensor Networks in the Educational Environment

Häftad, Engelska, 2026

AvTuan Anh Nguyen

2 589 kr

Kommande

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.

Explains how digital twins gather real school data to create a model of a virtual school
Considers the associated technologies that support school digital twins, including Internet of Things, artificial intelligence, machine learning, and the blockchain
Explores how digital twins can be used in real schools to monitor and improve the quality of education and manage the educational environment for students

Produktinformation

Utgivningsdatum2026-09-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
SerieAdvances in Digital Twin Computing and Sensor Networks
Antal sidor400
FörlagElsevier Science
ISBN9780443416323

Tillhör följande kategorier

Nätverk och kommunikation inom Data och IT
Systemvetenskap och AI inom Data och IT
Människa – datorinteraktion inom Data och IT

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".

1. From Digital to Smart Schools: Past, Present and the Future 2. Introduction to School Digital Twin 3. Application of Digital Twin Technologies in Smart Education 4. Sensor Network, Blockchain and Digital Twin as the Backbones of a Connected Ecosystem of Smart Schools 5. IoT Sensors and Devices in Smart Schools 6. Smart Sensor Networks in the Student Activities 7. Blockchain for Security and Privacy in the Student Sensor Network 8. Electronic Student Records (Data) Management (Protection) through Blockchain 9. Digital Twin Application in School Facilities Management 10. Algorithm and Simulation for School DT 11. Cloud/Fog/Edge/Quantum Computing for School DT 12. Virtual Smart School/Smart Class Room/Smart Campus 13. Multiple Digital Student Check-In through Blockchain and Sensor Network 14. Data Privacy Considerations in Implementing Digital Twins in Educational Settings 15. Enhancing School Operations Efficiency through Digital Twin Technology