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.
1. Chapter 1. Introduction to smart classrooms - p. 1 2. Chapter 2. Smart classroom: Evolution, core components, benefits and challenges - p. 13 3. Chapter 3. Introduction to virtual smart classrooms, schools, and campuses - p. 23 4. Chapter 4. Sensors for smart education - p. 37 5. Chapter 5. IoT sensors for smart classroom - p. 57 6. Chapter 6. Sensor network, blockchain, and digital twin as the backbones of a connected ecosystem of smart schools - p. 73 7. Chapter 7. Digital twins for smart education: Utilizing sensor networks for education - p. 81 8. Chapter 8. Smart sensor networks in the student activities - p. 93 9. Chapter 9. Blockchain for smart education - p. 105 10. Chapter 10. Student check-in scheme based on blockchain for smart classroom - p. 119 11. Chapter 11. Electronic student records management through blockchain - p. 129 12. Chapter 12. Digital twin application in school facilities management - p. 141 13. Chapter 13. Cloud, fog and edge computing for school digital twin - p. 157 14. Chapter 14. Blockchain and zero-knowledge proof for security and privacy preservation in student sensor networks - p. 169 15. Chapter 15. Data privacy considerations in implementing digital twins in educational settings - p. 183 16. Chapter 16. Digital twin technology for enhancing school operations efficiency - p. 195 17. Chapter 17. Digital twin-assisted adaptive video streaming optimization in the smart classroom - p. 207 18. Chapter 18. Digital twins of clothing: A transformative approach to educating fashion designers - p. 219 19. Chapter 19. Digital twins as a tool for optimizing social interaction: A case study in Indonesian higher education with STELE approach - p. 239 20. Chapter 20. Ethics in the Metaverse classroom: A case study for EFL education in Indonesia - p. 261 21. Chapter 21. Essential requirements of smart learning environments: A case study in the Arab region - p. 279 22. Chapter 22. IoT sensors and devices in smart schools: A case study in the Universitas Negeri Makassar (Indonesia) - p. 291 23. Chapter 23. Recent developments in smart classrooms/smart schools in India - p. 301 24. Chapter 24. Digital twin in smart education: Challenges, limitations, and case studies - p. 311 25. Chapter 25. Assistant agent for smart classroom application: Past, present and future direction - p. 325 26. Chapter 26. Digital twin technology for student healthcare in smart schools - p. 347 27. Chapter 27. Transformative impact of smart classroom/school/campus on the educational environment - p. 361 28. Chapter 28. Role of artificial intelligence in enhancing school digital twin - p. 373 29. Chapter 29. Multiple digital student attendance check through blockchain - p. 391 30. Index - p. 406
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.
1. Chapter 1. Introduction to smart classrooms - p. 1 2. Chapter 2. Smart classroom: Evolution, core components, benefits and challenges - p. 13 3. Chapter 3. Introduction to virtual smart classrooms, schools, and campuses - p. 23 4. Chapter 4. Sensors for smart education - p. 37 5. Chapter 5. IoT sensors for smart classroom - p. 57 6. Chapter 6. Sensor network, blockchain, and digital twin as the backbones of a connected ecosystem of smart schools - p. 73 7. Chapter 7. Digital twins for smart education: Utilizing sensor networks for education - p. 81 8. Chapter 8. Smart sensor networks in the student activities - p. 93 9. Chapter 9. Blockchain for smart education - p. 105 10. Chapter 10. Student check-in scheme based on blockchain for smart classroom - p. 119 11. Chapter 11. Electronic student records management through blockchain - p. 129 12. Chapter 12. Digital twin application in school facilities management - p. 141 13. Chapter 13. Cloud, fog and edge computing for school digital twin - p. 157 14. Chapter 14. Blockchain and zero-knowledge proof for security and privacy preservation in student sensor networks - p. 169 15. Chapter 15. Data privacy considerations in implementing digital twins in educational settings - p. 183 16. Chapter 16. Digital twin technology for enhancing school operations efficiency - p. 195 17. Chapter 17. Digital twin-assisted adaptive video streaming optimization in the smart classroom - p. 207 18. Chapter 18. Digital twins of clothing: A transformative approach to educating fashion designers - p. 219 19. Chapter 19. Digital twins as a tool for optimizing social interaction: A case study in Indonesian higher education with STELE approach - p. 239 20. Chapter 20. Ethics in the Metaverse classroom: A case study for EFL education in Indonesia - p. 261 21. Chapter 21. Essential requirements of smart learning environments: A case study in the Arab region - p. 279 22. Chapter 22. IoT sensors and devices in smart schools: A case study in the Universitas Negeri Makassar (Indonesia) - p. 291 23. Chapter 23. Recent developments in smart classrooms/smart schools in India - p. 301 24. Chapter 24. Digital twin in smart education: Challenges, limitations, and case studies - p. 311 25. Chapter 25. Assistant agent for smart classroom application: Past, present and future direction - p. 325 26. Chapter 26. Digital twin technology for student healthcare in smart schools - p. 347 27. Chapter 27. Transformative impact of smart classroom/school/campus on the educational environment - p. 361 28. Chapter 28. Role of artificial intelligence in enhancing school digital twin - p. 373 29. Chapter 29. Multiple digital student attendance check through blockchain - p. 391 30. Index - p. 406
