校內基金
知識轉移基金
創新科技社會福利基金
知識轉移專業講座
校外基金
知識轉移基金
香港教育大學素以研究與教學為兩大核心支柱，並重視知識轉移為大學發展的基石。作為矢志推動教育與社會進步的領先學府，教大致力於促進學術與實踐相融。在此背景下，知識轉移基金的設立旨在協助學術及教學人員，將大學所產生的知識、專業技術、技能與科技轉化為裨益社會的實際貢獻。
鑒於創新科技對推動經濟與社會的發展愈加重要，知識轉移之範疇亦須與時拓新。除傳統定義之外，新時代的知識轉移更涵納創新、知識產權商品化及創業培育等領域。教大的知識轉移基金旨在協助學術及教學人員於完成基金項目後，申請創新科技署創新及科技基金的資助。
每項知識轉移基金項目的資助上限為港幣四十萬元。所有項目須於每年五月底前完成，而該日期亦為項目帳戶的結算截止日。
鑒於創新科技對推動經濟與社會的發展愈加重要，知識轉移之範疇亦須與時拓新。除傳統定義之外，新時代的知識轉移更涵納創新、知識產權商品化及創業培育等領域。教大的知識轉移基金旨在協助學術及教學人員於完成基金項目後，申請創新科技署創新及科技基金的資助。
每項知識轉移基金項目的資助上限為港幣四十萬元。所有項目須於每年五月底前完成，而該日期亦為項目帳戶的結算截止日。
申請資格
教大所有全職學術及教學人員均符合申請資格，申請人可在每學年以項目首席負責人的身份提交一份申請。項目
以下為最近三個成功案例的項目（只提供英文版）：1. “Improving Sleep with Customised Audios” by Professor Esther Yuet Ying LAU from the Department of Psychology
This project aims to develop a personalised soundtrack system which utilises Electroencephalography (EEG)-based neurophysiological profiling to create customised white/ pink noise-based soundtracks to improve users’ sleep quality. To examine its impacts, the project recruited university students with high risk of insomnia to conduct self-assessments and be monitored with EEG methods regarding their changes in sleep quality. The customised soundtrack system provided both a neuro-auditory perspective to tackle the limitations of generic sleep aids and a personalised solution for people with insomnia, as well as guidance for future projects on wearable devices.
2. “An AI-Enabled Automatic Item Generation System for Hong Kong Secondary Mathematics Testing” by Professor YAN Zi from the Department of Curriculum and Instruction
This project aims to develop an AI-driven automatic item generation system to assist in secondary mathematics teaching and assessment provisions under the Hong Kong Diploma of Secondary Education (HKDSE) curriculum. To ensure question validity, options for user interactions are also included within the supplementary functional web-based prototype and user feedback report. The completed system is expected as a functional and marketable prototype within the industry, as well as a stepping stone in enhancing the efficiency and quality of assessment item generation within the field of mathematics education.
3. “Special Teaching Assistant with Responsive Sensing (STARS): Research and Development on Multimodal AI-Driven Educational Support Systems for SEN Students” by Dr Eugene FU Yujun from the Learning, Teaching & Technology Centre
This project aims to develop a multimodal AI system in providing personalised and real-time learning support for autistic students through analysing their behaviours and emotional states. The team collects their data and validates their approach in their partner special school to ensure their system’s effectiveness. This provides objective student insights for teachers to reduce subjective guesswork, a responsive and individualised learning companion for students and a gateway for real-time support provision between classroom settings and “real-world” applications.
查詢
周洋明女士電話：2948 7698
電郵：cyeungming@eduhk.hk
夏羽鋒先生
電話：2948 7507
電郵：yfha@eduhk.hk
何彥桃女士
電郵：ytho@eduhk.hk