Internal Funding
KT Fund
Fund for Innovation, Technology, and Social-wellbeing (FITS Fund)
KT Professional Talks
External Funding
Knowledge Transfer Fund (KT Fund)
The University has long recognized knowledge transfer as a cornerstone of its institutional development, alongside its foundational pillars of research and teaching. As a leading institution dedicated to advancing education and societal progress, the University has been continuously seeking to bridge the gap between academic knowledge and real-world applications. In this context, the Knowledge Transfer (KT) Fund is set up to empower academic and teaching staff to transform University-generated knowledge, expertise, skills and technology into impactful contributions to society.
Considering the growing importance of innovation and technology (I&T) in driving economic and social development, the scope of KT activities is redefined by moving beyond traditional frameworks and broadening the focus to include innovation, intellectual property commercialization and the cultivation of entrepreneurial ventures. The KT Fund seeks to position academic and teaching staff to apply for the Innovation and Technology Fund (ITF) after completion of the KT Fund projects.
The funding ceiling for each KT Fund project is HK$400,000. Each project should be completed by May each year which is also the closing date of the project account
Eligibility
All full-time academic and teaching staff members of the University are eligible to apply in the capacity of Project Leader. Each eligible applicant is allowed to submit one application in each academic year.
Projects
Here are the examples of the 3 most recent successful cases:
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
Enquiries
Ms Alice CHOWTel.: 2948 7698
Email: cyeungming@eduhk.hk
Mr HA Yu Fung
Tel: 2948 7507
Email: yfha@eduhk.hk
Ms Tobby HO
Email: ytho@eduhk.hk