
Digital Twins in the Smart Classroom
Utilising Sensor Networks in the Educational Environment
Tuan Anh Nguyen(Editor)
Elsevier (Publisher)
Will be published approx. on 1. September 2026
Book
Paperback/Softback
400 pages
978-0-443-41632-3 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
Weight
449 gr
ISBN-13
978-0-443-41632-3 (9780443416323)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
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".
Editor
Institute for Tropical Technology, Vietnam Academy of Science and Technology, Vietnam
Content
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
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