| Row ID | Full name in Chinese/中文全名 | Full name in English/英文全名 | Gender/性別 | Current Year of Study/目前就讀的年級 |
|---|---|---|---|---|
| 1 | 蘇俊諺 | So Chun Yin | Male/男性 | Grade 11 (Secondary 5)/中學十一年級（中五） |
| 2 | 簡裕峰 | Kan Yu Fung | Male/男性 | Grade 11 (Secondary 5)/中學十一年級（中五） |
| 3 | 葉生𩐿 | Yip San King | Female/女性 | Grade 11 (Secondary 5)/中學十一年級（中五） |
| 4 | 侯銘恩 | Hau Ming Yan Dora | Female/女性 | Grade 11 (Secondary 5)/中學十一年級（中五） |
Teachers often book classrooms for activities after lessons, but janitorial staff sometimes miss timely notifications, causing communication issues and cleaning delays. Teachers also struggle to check real-time classroom usage, requiring time-consuming walkthroughs, which reduces efficiency. Students often leave classrooms without turning off equipment like projectors, air conditioners, and computers. This adds to the janitorial staff's workload and leads to resource wastage, which may intensify global warming
The proposed solution integrates Artificial Intelligence (AI), computational thinking, and programming to create a smart classroom management system. AI-powered sensors and algorithms monitor real-time classroom conditions, such as noise levels, temperature, and humidity, enabling automated adjustments for energy efficiency and comfort. Machine learning models analyze behavioral data to assess students' stress, anxiety, and energy levels, providing personalized recommendations like mindfulness exercises, physical activities, or counseling services. This data also informs schools about mental health trends, enabling targeted wellness programs.
Computational thinking is applied to design processes like automating attendance through ID card scans, optimizing classroom bookings, and controlling appliances remotely. The system minimizes manual errors and enhances efficiency by using step-by-step problem-solving techniques.
Programming technologies, such as cloud databases and servo motor control, facilitate secure room access and manage bookings. Automation scripts shut off unused devices to reduce energy wastage, while text-to-speech and real-time notifications streamline communication. A control hub centralizes classroom management, enabling remote monitoring and adjustments with a single tap.
Overall, the solution promotes sustainability, efficiency, and mental well-being by leveraging AI, computational thinking, and programming to optimize resource use and improve the student-teacher experience.
The proposed solution is the best because it holistically addresses key challenges—sustainability, efficiency, and mental well-being—by integrating advanced technologies. Unlike traditional systems, it combines Artificial Intelligence (AI), computational thinking, and programming to create a multifunctional, automated, and data-driven platform.
AI ensures precise monitoring and optimization of classroom conditions, reducing energy waste and promoting a comfortable learning environment. Behavioral analysis powered by machine learning provides personalized mental health recommendations, addressing student well-being proactively—something existing systems often overlook. Real-time tracking of attendance, classroom usage, and bookings eliminates manual errors, saving significant time for teachers and staff.
The solution’s automation capabilities, such as shutting off unused appliances and adjusting air quality based on environmental data, directly support sustainability goals by minimizing resource wastage. The centralized control hub offers unparalleled convenience, allowing instant adjustments and secure room management with a single tap.
It also scales well, supporting applications in hospitals, offices, and libraries for resource optimization. By streamlining processes, reducing errors, and enhancing mental health support, this solution not only increases operational efficiency but also fosters a healthier, more sustainable, and technologically advanced school environment. Its comprehensive approach ensures long-term benefits for students, teachers, and the institution.
Personal Information Collection Statement (PICS)/收集個人資料聲明:
1. The personal data collected in this form will be used for activity-organizing, record keeping and reporting only. The collected personal data will be purged within 6 years after the event.
2. Please note that it is obligatory to provide the personal data required.
3. Your personal data collected will be kept by the LTTC and will not be transferred to outside parties.
4. You have the right to request access to and correction of information held by us about you. If you wish to access or correct your personal data, please contact our staff at lttc@eduhk.hk.
5. The University’s Privacy Policy Statement can be access at https://www.eduhk.hk/en/privacy-policy.
- I have read and agree to the competition rules and privacy policy/我已閱讀並同意比賽規則和隱私權政策。