Special Notice !

Campus Learning Program

Aims

This program centers on mastering the key elements of ACTIVE EDUCATION learning methods from the campus environment. It integrates the philosophy advocated by School Supervisor Professor Tam Man-kwan: “Read daily, write daily, calculate daily, and exercise daily,” and cultivates students’ self-directed and lifelong learning habits through contextual learning and hands-on activities.

The curriculum focuses on learning strategies and scientific literacy. On one hand, task-based activities in green campus settings consolidate effective study strategies and include a “Campus Biodiversity Ambassador” training to foster ecological observation and environmental stewardship. On the other hand, within smart-campus engineering practice, students undertake a “Campus Intelligent Environmental Monitoring” challenge, using programming and the Internet of Things (IoT) to monitor garden environmental data, thereby developing data literacy and problem-solving skills while also building generative AI applications for campus use.ities, arts, and green sustainability are also key components. 

The five deep learning weeks at our school features different learning modes. The first two weeks focus on cross-grade and interdisciplinary diversified learning activities, covering three major areas: Language, Physical and Aesthetic development, and STEAM, with Philosophy as a compulsory subject for students. The third and fourth weeks are dedicated to topic-research activities. The final week showcases students’ learning outcomes. In addition to being held on and off-campus, these activities are also conducted both online and offline, allowing students to engage in in-depth exchanges with peers from different regions, broadening their horizons and enriching their learning experiences, thereby fostering students’ deep learning capabilities.

I believe this experience has allowed me to progress on a deeper level because we visited areas like Sheung Wan to learn about their history, which I found very interesting. We were able to broaden our knowledge and continue to work hard. In the Metaverse, we created some virtual buildings, which updated our understanding of the community, so I think this Metaverse activity was very interesting.

— Kwok Yat Sing

 

This AI Superstar activity made me very happy because I could team up with classmates to work on a report, fostering our team spirit and cooperation, allowing us to complete the report in just four hours. At first, I thought this activity was boring, but suddenly I became interested in programming. I hope I can continue to participate in this AI Superstar activity next year.

— Chui Ching Yan