Generative AI @ CUHK
The Chinese University of Hong Kong emphasizes the responsible and ethical use of generative AI tools in education, promoting familiarity and critical engagement among teachers and students. The university upholds academic integrity by prohibiting unauthorized AI use in assignments and assessments, while allowing its use under specific conditions with proper citation and permissions. Regular reviews of guidelines, along with professional development for AI literacy, ensure that both teaching and learning benefit from technological advancements without compromising academic honesty.
Guidelines on the Use of Artificial Intelligence Tools in Teaching, Learning and Assessment (CUHK staff login required)
Use of Artificial Intelligence Tools in Teaching, Learning and Assessment – A Guide for Student
AI Resource Poster – learn about the basics of AI and the five big ideas in AI
Responses to AI-integrated Education
The Centre for Learning Enhancement And Research (CLEAR) at The Chinese University of Hong Kong (CUHK) is at the forefront of integrating Artificial Intelligence (AI) into higher education. Recognizing the transformative potential of generative AI, CLEAR has developed a comprehensive suite of resources and materials. These are designed to assist academics, teachers, researchers, and students in harnessing AI to innovate and enhance learning, teaching, and assessment processes.
In addition to resource development, CLEAR is actively fostering a deeper understanding of AI within the CUHK community through collaborative efforts. By organizing a series of seminars and workshops in partnership with various departments and units, CLEAR aims to educate and encourage the community to adopt AI technologies. These initiatives emphasize the importance of maintaining fairness, transparency, and inclusiveness as core values in the integration of AI.
Supported by generous funding from the UGC, CUHK, along with other UGC-funded universities, has initiated the “AI in Education” and “Generative AI for Teaching and Education” projects. These projects underscore the critical role of AI in education and aim to connect educators across Hong Kong’s higher education sector. The primary goal is to boost AI literacy and share practical, real-world applications of AI in education through a collaborative platform and knowledge-sharing activities.
Support to AI in Education
At CLEAR, we are committed to enhancing AI literacy and integrating advanced AI technologies within the educational framework of The Chinese University of Hong Kong. Our goal is to elevate digital competency throughout the university, while also emphasizing the critical importance of technological social responsibility and academic integrity.
Our initiative, AILEAP: AI Literacy Enhancement for Academic Progress, is currently under development to support AI in education through a series of seminars and workshops focusing on the following areas:
- Enhancement of AI Literacy
- Advancement of Digital Competency
- Integration into STEM and Non-STEM Curricula
- Promotion of Technological Social Responsibility
- Collaboration between Academia and Industry
These efforts are designed to prepare our students and faculty for the challenges and opportunities presented by the evolving digital landscape.
Featured Workshops/Seminars
PROF PHILLIP DAWSON
(CRADLE, DEAKIN)
Designing Assessment for An Age of
Artificial Intelligence
MS DELIAN GASKELL (CLE, HKUST)
DR LUCAS KOHNKE (ELE, EDUHK)
DR STEVEN YEUNG (ELTU, CUHK)
Advancing Language Education with AI
MR SETH KWOK (LIBRARY, CUHK)
DR ERIC TSUI (EDC, POLYU)
DR SIMON WANG
(LANGUAGE CENTRE, HKBU)
Empowering Research in the GenAI Era
Call for Collaborative Research
Research in AI in education provides insights into how AI can be effectively utilized to enhance teaching and learning processes. It also helps in understanding the potential challenges and ethical considerations associated with AI use in education. Lastly, it aids in the development of strategies and policies for the successful implementation of AI in higher education settings.
We are currently conducting research on Experiential Learning with Generative AI in Teaching and Learning. We invite educators interested in collaborating and exploring how generative AI can enhance, streamline, and promote experiential learning in their teaching practices.
Other topics of interest include:
- Academic Integrity and Assessment Redesign
- Collaborative Learning
- Active Learning through Intelligent Tutoring
- Any other topics that benefit teaching and learning with generative AI
We look forward to engaging with innovative educators who are eager to contribute to this cutting-edge research area.
Contact US
AI in Education Team
GATE Team
E M A I L
ai-in-education@cuhk.edu.hk