Digital Twins in the Smart Classroom

Utilising Sensor Networks in the Educational Environment
Erscheinungsjahr 2026
ISBN: 978-0-443-41632-3
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

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.

Autoren/Hrsg.

Nguyen, Tuan Anh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion User Interface Design & Benutzerfreundlichkeit
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

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

Über Autor(innen)

Nguyen, Tuan Anh
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".