香港浸會大學基金2019-2020年報

20 HKBU researchers have developed a COVID-19 alert system which will send a message to users through a mobile app if they and an infected person have visited the same place within a time period that gives rise to risks of exposure. 浸大的科研團隊成功研發了一套新冠病毒風險警示系 統，使用者若曾經身處確診者到訪過的同一地點，而兩 者到訪相隔的時差屬於構成風險的範圍，系統便會透過 手機應用程式發出警示。 Although face-to-face classes were suspended due to the outbreak, Mr. Ekkehard Altenburger, Assistant Professor of the Academy of Visual Arts, utilised a wide array of digital tools in his online sculpture classes to encourage students to generate new ideas at home. For example, he instructed his students to produce sculptures using their bodies, a chair and an object. With his creative e-learning approach, Mr. Altenburger was crowned the winner of the e-Learning Excellence Awards at the European Conference on e-Learning. 儘管面授課堂因疫情暫 停 ， 但 視 覺 藝 術 院 的 Ekkehard Altenburger 先生 利用多種電子工具，為他的 網上雕塑課堂加添創意，並 啟發學生在家中尋找創作意 念，例如指導學生運用身 體、椅子和物件創作雕塑。 其富創意的電子教學方法令 他在在「 2020 年歐洲電子學 習會議」上獲頒「電子學習 卓越獎」。 A team of HKBU computer scientists developed a novel computational model that unveils the transmission patterns of COVID-19. Based on the model, an analysis of different work resumption plans can be carried out. Moreover, to help the public grasp the latest development of the outbreak, the University promptly created an Interactive Infographic Page to provide visualisation of data regarding COVID-19 in Hong Kong and worldwide. 浸大的計算機科學家建立了嶄新計算模型，揭示新冠病毒傳播模式，而以此模型為基礎，可為不同復工計劃進 行分析，評估風險。此外，為了讓市民大眾輕易掌握與疫情相關的最新發展，大學迅速製作了一個互動資訊圖 表專頁，將與 COVID-19 相關的香港甚至世界各地的數據圖象化，方便用家理解。 COVID-19 related research 相關研究 Support for teaching and learning 教學支援