校內基金
知识转移基金
创新科技社会福利基金
知识转移专业讲座
校外基金
知识转移基金
香港教育大学素以研究与教学为两大核心支柱，并重视知识转移为大学发展的基石。作为矢志推动教育与社会进步的领先学府，教大致力于促进学术与实践相融。在此背景下，知识转移基金的设立旨在协助学术及教学人员，将大学所产生的知识、专业技术、技能与科技转化为裨益社会的实际贡献。
鉴于创新科技对推动经济与社会的发展愈加重要，知识转移之范畴亦须与时拓新。除传统定义之外，新时代的知识转移更涵纳创新、知识产权商品化及创业培育等领域。教大的知识转移基金旨在协助学术及教学人员于完成基金项目后，申请创新科技署创新及科技基金的资助。
每项知识转移基金项目的资助上限为港币四十万元。所有项目须于每年五月底前完成，而该日期亦为项目帐户的结算截止日。
鉴于创新科技对推动经济与社会的发展愈加重要，知识转移之范畴亦须与时拓新。除传统定义之外，新时代的知识转移更涵纳创新、知识产权商品化及创业培育等领域。教大的知识转移基金旨在协助学术及教学人员于完成基金项目后，申请创新科技署创新及科技基金的资助。
每项知识转移基金项目的资助上限为港币四十万元。所有项目须于每年五月底前完成，而该日期亦为项目帐户的结算截止日。
申请资格
教大所有全职学术及教学人员均符合申请资格，申请人可在每学年以项目首席负责人的身份提交一份申请。项目
以下为最近三个成功案例的项目（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.
查询
周洋明女士电话：2948 7698
电邮：cyeungming@eduhk.hk
夏羽锋先生
电话：2948 7507
电邮：yfha@eduhk.hk
何彦桃女士
电邮：ytho@eduhk.hk