HKU I-School

I-School Logo
Cheung, William
Principal Lecturer, School of Innovation

Affiliations

// School of Innovation

Credentials

PhD (U of Toronto), BEng (HKU, 1st class honour), SFHEA
willmyc@hku.hk
  • teaching
  • staff
  • Academic
  • staff
  • technical
  • staff
  • Administrative
  • staff
  • supporting
  • staff
  • Academic
  • staff
  • teaching
  • staff
  • ACADEMIC
  • STAFF
  • ACADEMIC
  • STAFF
  • ACADEMIC
  • STAFF
  • ACADEMIC
  • STAFF
  • ACADEMIC
  • STAFF

// Expertise

Artificial intelligence literacy, Digital literacy and Digital learning

Interests

Artificial intelligence literacy, Digital literacy and Digital learning

 
 
 
 

Awards

  • GovMedia Award 2025: Hong Kong Digital Transformation of the Year – Education (for the promotion of team-based learning at the City University of Hong Kong)

  • The Gold Standard Award 2022 for Public/private Partnership (for the artificial intelligence literacy programme under the collaboration of The Education University of Hong Kong and the Li Ka Shing Foundation)

  • Faculty Award for Teaching Innovations in E-learning from Faculty of Science, HKU, in 2017

  • Faculty Award for Teaching Excellence from Faculty of Science, HKU, in 2016

  • Faculty Knowledge Exchange Award from Faculty of Science, HKU, in 2014

 
 
 

Bio

William has had experience in initiating and managing changes. After completing his bachelor’s degree in civil and structural engineering from The University of Hong Kong, he pursued his passion in theoretical high energy physics and acquired his Ph.D. from the University of Toronto. Since returning to Hong Kong, China, William has worked at three local universities on teaching, education development, and facilitation of learning enhancement.

With regard to learning enhancement, William has taken a major role in enhancing the e-learning and digital competency of university teachers and students through various workshops and projects. This has provided him with the opportunity to develop the e-learning and digital competency strategy as well as guidelines in using artificial intelligence for education at the university level. William has also been in a leading role in promoting team-based learning under university settings. For this, he has collaborated with university teachers from different disciplines to develop student-centric learning activities such as utilising customised artificial intelligence chatbots to engage students with course materials. William has led the administration of the Teaching Development Grant to facilitate university teachers in implementing educational innovation such as the adoption of artificial intelligence for education.
For education development, William has been responsible for a number of educational projects. He has led a team of five colleagues in developing and implementing an artificial intelligence literacy project for university and senior secondary students, reaching out to more than 800 students. William has also been in charge of projects funded by the University Grants Committee to promote authentic assessment and the use of learning analytics to enhance student learning. For these, William collaborated with university teachers to incorporate these pedagogies into their courses and to organise seminars to share the good practices to the university community.
In terms of teaching, William has had ample experience in delivering courses on interdisciplinary subjects and foundational science to students from diverse backgrounds. He has been passionate about enhancing interactions in his courses, such as the incorporation of flipped learning and the use of mobile phones for in-class activities. For digital learning, William has collaborated with his colleagues to develop an e-learning platform on calculus and transform his course into a Small Private Online Course (SPOC). In terms of curriculum development, he has contributed to the design of the new Minor in Science Entrepreneurship under the Faculty of Science of The University of Hong Kong.

William is enthusiastic about joining the School of Innovation to explore a new teaching journey with students on innovation and technology.

 
 
 

Selected Publications

Artificial Intelligence Education Literacy
 

  • Kong, S.-C., Cheung, W. M.-Y., & Tsang, O. (2024). Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach. Computers and Education: Artificial Intelligence, 100214. https://doi.org/10.1016/j.caeai.2024.100214

  • Korte, S.-M., Cheung, W. M.-Y., Maasilta, M., Kong, S.-C., Keskitalo, P., Wang, L., Lau, C.-M., Lee, J. C.-K., Gu, M. M. (2024).  Enhancing artificial intelligence literacy through cross-cultural online workshops. Computers and Education Open, 6, 100164. https://doi.org/10.1016/j.caeo.2024.100164

  • Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2023). Evaluating an artificial intelligence literacy programme for developing university students’ conceptual understanding, literacy, empowerment and ethical awareness. Educational Technology & Society, 26(1), 16-30. https://doi.org/10.30191/ETS.202301_26(1).0002

  • Kong, S.-C., Zhang, G., & Cheung, W. M.-Y. (2022). Pedagogical delivery and feedback for an artificial intelligence literacy programme for university students with diverse academic backgrounds: Flipped classroom learning approach with project-based learning. Bulletin of the Technical Community on Learning Technology, 22(1), 8-14. https://tc.computer.org/tclt/10-1109-2022-0101016/ 

  • Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence, 2, 100026. https://doi.org/10.1016/j.caeai.2021.100026

 
 

Learning Analytics

  • Kong, S.-C., Cheung, W. M.-Y., Lam, S. S.-M., Jin, M.-Y., Lam, W. W.-M., Yuen, C.-N., & Yang, Y. (2024). Using Learning Analytics to Facilitate Pedagogical Decision-Making in Higher Education: A Multiple Case Study. Global Conference on Computers in Education 2024, Chongqing, China.

 
 

STEM Education

  • Liang, L., Yeung, K., Lui, R.K.W., Cheung, W.M.Y., & Lam, K.F. (2018). Lessons Learned from a Calculus E-Learning System for First-Year University Students with Diverse Mathematics Backgrounds. In Silverman, J., Hoyos, V. (Eds), Distance Learning, E-Learning and Blended Learning in Mathematics Education. ICME-13 Monographs. Springer, Cham. https://doi.org/10.1007/978-3-319-90790-1_5

  • Yeung, K. F., Lui, R. K. W., Cheung, W. M. Y., Lam, K. F. E., & Tsing, N. K. (2017). A Calculus e-learning system for first-year university students with diverse mathematics background. In Kaiser, G. (Ed), Proceedings of the 13th International Congress on Mathematical Education, Heidelberg, Germany: Springer.

 
 

High Energy Physics

 

 

Selected teaching & learning disseminations:

  • “Using Customised Artificial Intelligence Chatbots for the Development of Interaction Skills under Authentic Settings”, presented at International Conference on Learning and Teaching 2025, The Education University of Hong Kong on 21 – 23 May 2025

  • “Blending Boundaries: Redefining Learning Environments through Digital Team-Based Learning”, presented at eLearning Forum Asia 2024, Hong Kong Baptist University on 4 – 5 December 2024

  • “Analyzing University Students’ Perception of Study Programmes and Development of Generic Intended Learning Outcomes with Machine Learning”, presented at International Congress on Educational Futures, The Education University of Hong Kong on 23 – 25 April 2024

  • “An Overview of the Impact of AI on Mathematics Education for College Students”, presented at AI-Driven Transformation of Mathematics Education: Empowering College Students for the Future, The Chinese University of Hong Kong on 23 February 2024

  • “Nurturing Artificial Intelligence Literacy in Students with Diverse Cultural Backgrounds”, presented at the International Conference of Innovative Technologies and Learning (ICITL) 2023 in Porto, Portugal, 28 – 30 August 2023

  • “Understanding Machine Learning”, a module delivered to students from University of Lapland, Finland in September 2021 – September 2023 (3 cohorts)

  • “A Case Study of Developing Understanding of Machine Learning through Working with a Learning Analytics Tool in Moodle”, presented at the Teaching and Learning Innovation Expo 2022, The Chinese University of Hong Kong on 16 December 2022

  • “Integrating Students into the Teaching Team: How Peer Tutoring can Enhance Science Education”, presented at the 13th Conference of the European Science Education Research Association in Bologna, Italy, 26 – 30 August 2019

 
 

Professional qualification: 

  • Senior Fellowship of Higher Education Academy

 
 

Professional service

  • Associate editor, Computer Applications in Engineering Education, 2/2025 – 2/2028

Back to People