Digital Twins in the Smart Classroom
Utilising Sensor Networks in the Educational Environment
- 1st Edition - September 1, 2026
- Latest edition
- Editor: Tuan Anh Nguyen
- Language: English
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… Read more
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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.
- Explains how digital twins gather real school data to create a model of a virtual schoolConsiders the associated technologies that support school digital twins: Internet
- of Things, artificial intelligence, machine learning, 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.
Academic researchers, and professional engineers/scientists working in the field of computer science, electrical and computer engineering, electronics, sensor, network, industry 4.0/5.0, smart city, digital twin, smart school, smart class
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
- Edition: 1
- Latest edition
- Published: September 1, 2026
- Language: English
TN
Tuan Anh Nguyen
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".
Affiliations and expertise
Institute for Tropical Technology, Vietnam Academy of Science and Technology, Vietnam