Knowledge Transfer
Resources for Practitioners
| Project Title | Funding Source | Principal Investigator/ Project Coordinator |
Sharing Deliverables |
| AI-Assisted Academic Writing Platform: An Interactive Cross-Disciplinary English Feedback System * | Quality Enhancement Support Scheme (QESS) |
Dr Jessica DENG |
Home – CPCE |
| Development of a Web-based Remote Laboratory for Science and Engineering Education * | Quality Enhancement Support Scheme (QESS) |
Dr Anthony LOH |
HKCC Remote Laboratory |
| Enhancing Students’ Academic Engagement in Mathematics through a Bilingual Integrated “Concept + Language Mapping” Approach * | Quality Enhancement Support Scheme (QESS) |
Dr Chan, Lorena |
Download
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| Enhancing Teachers’ Professional Competencies in Teaching Business-related Subjects in the Digital Era * | Quality Enhancement Support Scheme (QESS) |
Dr Wong, Phoebe |
| Sustainable Internship and Global Perspective on Career Development * | Quality Enhancement Support Scheme (QESS) |
Dr So, Joseph |
| Enhancing Comprehensive Support Services for Students with Special Educational Needs * | Quality Enhancement Support Scheme (QESS) |
Dr Hung, Kwok-wah |
Understanding and Supporting Students with SEN
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AI-Assisted Academic Writing Platform: An Interactive Cross-Disciplinary English Feedback System
PolyU SPEED aims to support students’ English literacy development through cross-disciplinary cooperation. The proposed AI-Assisted Academic Writing platform aims to provide all-round supervisory support that is unconstrained by time and location for students to improve their disciplinary academic writing performance. One of the most useful features of the proposed platform is the incorporation of AI text analytics technology. The platform will feature diversified functions to support self-directed learning and feedback communication.
Interactive Feedback Platform
Link to the login page: Home – CPCE
The screenshot of the interface where AI and human teachers co-construct tailored feedbacks on students’ writing through selecting, revising, adding, removing, and generating AI generated feedbacks
Development of a Web-based Remote Laboratory for Science and Engineering Education funded by Quality Enhancement Support Scheme
The learning and teaching of science/engineering subjects face a big challenge under the COVID-19 pandemic because all face-to-face laboratory works in school have been suspended. Since laboratory works are essential and critical elements to science and engineering education, teachers have to try other means such as performing demonstration, simulation or virtual laboratory to relief the effect. However, these alternative forms of teaching might not effectively provide students with real-time hands-on learning experience as they could not see and directly control the laboratory apparatus in “real” time. Hence, through developing a web-based remote laboratory for science and engineering education, this project aims to facilitate students’ independent learning, enhance their learning experience, and solve the adverse effect created by the suspension of face-to-face laboratory works.
The project team – (from left) Dr Ricky Mak, Dr Ken Tsang, Dr Anthony Loh, and Dr Kenneth Lo
The project team announced the opening of the HKCC Remote Laboratory in September 2024.
Please click here to visit the HKCC Remote Laboratory.