Digital Twins in the Smart Classroom

Utilising Sensor Networks in the Educational Environment

Tuan Anh Nguyen

• Publisher: Elsevier
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9780443416330
• Subtopic: Computer Science General
• Index: Computer Science

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

Table of contents

• Title of Book
• Chapter 1. Introduction to smart classrooms
• Chapter 2. Smart classroom: Evolution, core components, benefits and challenges
• Chapter 3. Introduction to virtual smart classrooms, schools, and campuses
• Chapter 4. Sensors for smart education
• Chapter 5. IoT sensors for smart classroom
• Chapter 6. Sensor network, blockchain, and digital twin as the backbones of a connected ecosystem of smart schools
• Chapter 7. Digital twins for smart education: Utilizing sensor networks for education
• Chapter 8. Smart sensor networks in the student activities
• Chapter 9. Blockchain for smart education
• Chapter 10. Student check-in scheme based on blockchain for smart classroom
• Chapter 11. Electronic student records management through blockchain
• Chapter 12. Digital twin application in school facilities management
• Chapter 13. Cloud, fog and edge computing for school digital twin
• Chapter 14. Blockchain and zero-knowledge proof for security and privacy preservation in student sensor networks
• Chapter 15. Data privacy considerations in implementing digital twins in educational settings
• Chapter 16. Digital twin technology for enhancing school operations efficiency
• Chapter 17. Digital twin-assisted adaptive video streaming optimization in the smart classroom
• Chapter 18. Digital twins of clothing: A transformative approach to educating fashion designers
• Chapter 19. Digital twins as a tool for optimizing social interaction: A case study in Indonesian higher education with STELE approach
• Chapter 20. Ethics in the Metaverse classroom: A case study for EFL education in Indonesia
• Chapter 21. Essential requirements of smart learning environments: A case study in the Arab region
• Chapter 22. IoT sensors and devices in smart schools: A case study in the Universitas Negeri Makassar (Indonesia)
• Chapter 23. Recent developments in smart classrooms/smart schools in India
• Chapter 24. Digital twin in smart education: Challenges, limitations, and case studies
• Chapter 25. Assistant agent for smart classroom application: Past, present and future direction
• Chapter 26. Digital twin technology for student healthcare in smart schools
• Chapter 27. Transformative impact of smart classroom/school/campus on the educational environment
• Chapter 28. Role of artificial intelligence in enhancing school digital twin
• Chapter 29. Multiple digital student attendance check through blockchain
• Index