本課程以從校園環境掌握活的教育(ACTIVE EDUCATION)學習方法要素為核心,結合校監譚萬鈞教授倡議的「每日一讀、每日一寫、每日一算、每日一動」理念,透過情境化學習與實作活動,培養學生自主與終身學習習慣。
整體課程聚焦學習方法與科普素養:一方面以校園與綠色的任務導向活動鞏固學習策略,並推行「校園生物大使」培訓,培養生態觀察與環境守護意識;另一方面在智慧校園與工程實踐中,安排「校園智能環境監測」挑戰,運用編程與物聯網(IoT)監測花園環境數據,訓練資料素養與解難能力,同時開發生成式 AI 的校園應用。
人文、藝術與綠色可持續亦為諄程重點。以《愛蓮說》欣賞中華文化之美,銜接水耕種植與中國農業的歷史與現代實作;推動「綠色校園環境」可再生能源設計,並進行植物與動物的 AI 分類實驗,連結生物學與機器學習。課程亦引導學生關注前沿科技與全球議題,包括中國航天科技探究、SDG「健康的生活」方案設計,以及以自然素材與循環理念創作「植物可再生藝術」。最終目標是以跨學科與專題導向學習,綜合培育學生的人文底蘊、科學探究、科技實作與可持續素養。
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
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