MB BChir (The University of Cambridge)
MA (The University of Cambridge)
PGCE (The University of Edinburgh)
Ph.D. in Medical Education (The University of Hong Kong)
Telephone: 3943 0465
Address: 610S, Choh-Ming Li Basic Medical Sciences Building, CUHK
Dr. Christopher See received his medical degree from the University of Cambridge (Trinity College) and trained in Emergency Medicine. A committed medical educator, his training includes a PGCE from the University of Edinburgh and a Ph.D. from the University of Hong Kong (HKU) in medical education.
He received the Excellent Teacher Award teaching anatomy at the University of Manchester, and lectured at HKU. He is presently a lecturer at the School of Biomedical Sciences, CUHK Faculty of Medicine teaching human anatomy. He is the course coordinator of 4 courses including Medical Year 3 Anatomy and is a pre-clinical academic advisor.
His research interests are gamification, e-learning and particularly the use of Artificial Intelligence (AI) in medical education. He graduated from the Oxford AI programme, the University of Oxford, and has taught modules on AI and Machine Learning for medical school curricula. He leads the AI for Education Community of Practice in CUHK.
He was awarded Fellowships of the Academy of Medical Educators UK (FAcadMed) as well as the Higher Education Academy (FHEA) for contributions to higher education. In recognition of excellence in teaching, he received the Faculty Education Award in 2022.
- Human anatomy education for medical and health professions students
- Gamification and e-learning for medical education
- Artificial Intelligence (AI) in higher education
- Qualitative research in education
- See C*, Li YS, Lam CSN (2023) A review of development approaches for Artificial Intelligence chatbots in medical education. The Asia Pacific Scholar, 8(3) 72. https://doi.org/10.29060/TAPS.2023-8-3/MA1603
- Yuen JK, See C, Cheung JTK, Lum CM, Lee JSW, Wong WT (2023) Can teaching serious illness communication skills foster multidimensional empathy? A mixed-methods study. BMC Medical Education 23, 20. https://doi.org/10.1186/s12909-023-04010-z
- Li YS, Lam CSN, See C* (2021) Using a machine learning architecture to create an AI-powered chatbot for anatomy education. Medical Science Educator https://doi.org/10.1007/s40670-021-01405-9
- Wong, HYC, See, C* (2021). Curriculum decolonisation in 3…2…1…. The Clinical Teacher. 18:497-499.https://doi.org/10.1111/tct.13385
- Yeung ANM, See C* (2020) E-learning emergency? A student-teacher dialogue on sudden shifts to online medical education. South-East Asian Journal of Medical Education, 14(2), pp.153–155. DOI: http://doi.org/10.4038/seajme.v14i2.222
- See C* (2020) Gamification in anatomy education. Book chapter in: Teaching Anatomy. Chan L.K., Pawlina W. (eds) Springer. pp 63-71. Doi: 10.1007/978-3-030-43283-6_8
- Tong AHK, See C* (2020) Informal and formal peer-teaching in the medical school ecosystem: Perspectives from a student-teacher team. JMIR Medical Education, 6(2):e21869. doi: 10.2196/21869
- Wong HYC, See C* (2020). Globalisation and language in medical education. The Clinical Teacher. doi:10.1111/tct.13125
- Wong WCW, Song L, See C, Lau STH, Sun WH, Choi KWY & Tucker J. (2020). Description of the development of a crowdsourced, peer-led intervention for safer dating app use. JMIR Formative Research. 4(4):e12098 doi: 10.2196/12098
- Coiffier B, See C, Lee E, Chen J, Chiu KW, Khong PL (2019). Exploring the experience of medical students as peer teachers in clinical ultrasonography: why do they do it and how do they perform?. MedEdPublish, 8 , 43, https://doi.org/10.15694/mep.2019.000192.1
- Lam TP, Sun KS, Piterman L, Lam KF, Poon MK, See C & Wu D. (2018). Impact of training for general practitioners on their mental health services. Australian Journal of General Practice, 47(8), 550.
- See C, Sheikh M, Shenker N. (2011). Chapter 8; Local Injections in Rheumatology Practice. Book Chapter, pp. 373-391, The Rheumatology Handbook, Imperial College Press. ISBN 184816320
- Hall FC, See C, Chapireau D. et al. (2009). An audit of cardiovascular risk recording and reduction in patients with systemic lupus erythematosus. Rheumatology, 48; (Supp 1) i44.
Summary: 13 grants (10 as PI) totalling $4,746,240 HKD
As Principal Investigator
- Teaching Development Grant (TDLEG) ($500,000) ‘Beyond Text-only AI Chatbots: the Digital Avatar Learning Environment for Human Anatomy’, 2022-2025
- Teaching Development Grant (TDLEG) ($734,251) ‘Interdisciplinary Blockchain Education: Development and Deployment in the Faculties of Law, Medicine and the Business School’ 2022-2025
- Teaching Development Grant (TDLEG) ($1,657,430) ‘Building a collaborative platform for enhancing artificial intelligence applications in higher education’, 2022-2025
- Courseware Development Grant ($125,506) for: ‘Blockchain for Healthcare: a multi-stakeholder curriculum development approach for e-learning’, 2021
- Courseware Development Grant ($100,000) for: ‘Crowdsourcing for e-learning anatomy: Creating peer-led video courseware by students for students’, 2020
- Special Funding Scheme for Online Learning (TDLEG supported) ($95,191) for: ‘Artificial Intelligence Support Systems in Anatomy Education; Initial development and deployment’, 2020.
- Teaching Development Grant ($299,899) for: ‘A.I.natomy: Artificial Intelligence chatbots for blended learning in anatomy’, 2018-2019.
- Teaching Development Grant ($251,364) for: ‘The Functional Anatomy Training (F.A.T.) to Fit programme’, an interdisciplinary physical approach to anatomy education, 2018-2019.
- Funding Scheme to Enhance Student Engagement (TDLEG Supported) ($100,565) ‘GenAI Playground: Developing Traceable and Responsible Student Uses of Generative AI for Education’, 2023
- Funding Scheme to Enhance Student Engagement (TDLEG Supported) ($263,045) ‘Modular Educational Escape Rooms: a programme-level, scalable pedagogy for enhancing learning, teamwork and communication skills’, 2023
- Teaching Development Grant: ($290,997) for: ‘A Cross-Faculty Study of the Development and Optimisation of the use of AI-technology for Promoting the Quality of Active Learning’ 2019-2020.
- Teaching Development Grant: ($264,532) for: ‘Student in Medical Education (SIME): A pilot project to train students as peer teachers in the medical curriculum.’ 2018-2019.
- Seed Fund for Basic Research: ($63,460) for: ‘A qualitative exploration of the facilitators and barriers for community dwellers at risk of diabetes mellitus to participate in a communitybased physical activity programme.’ 2018-2019.
- Gold Award for Pedagogical Innovation, CUHK 2022
- Faculty Education Award, CUHK Faculty of Medicine 2022
- Gold Award for Pedagogical Innovation, CUHK 2021
- Exemplary Teaching and Learning Award (Bronze Winner), ELFA2021
- Excellent Teacher Award, University of Manchester 2012
- Fellowship, Academy of Medical Educators (UK), 2019
- Fellowship, Higher Education Academy (UK), 2019
Conference poster & presentation awards (as Principal Investigator)
- Best Oral Presentation for “Humanising Educational A.I. Chatbots: How Medical Student Content Creators Reprogrammed An AI Database For More Human-Like Conversations”, International Conference on Medical Education (ICME 2021), Riphah International University, Pakistan, 2021
- Poster Award for “DeepMind and Beyond: Using Machine Learning to Teach an Artificial Intelligence Anatomy for Medical Education”, CUHK Teaching and Learning Expo 2020
- Best Poster Presentation Award for “Can the AInatomy Chatbot Teach Anatomy?”, 2nd Korea University International Medical Student Conference, Seoul, Korea, 2019.
- Best Oral Presentation for “Converse, Connect and Consolidate – The Development of an Artificial Intelligence Chatbot for Health Sciences Education”, BIMHSE Frontiers in Medical and Health Sciences International Conference, The University of Hong Kong, 2018
- Best Research Presentation for “Medical student peer-created e-learning resources in social media: a mixed-methods study”, 9th Asian Medical Education Association (AMEA) Conference, Hong Kong, 2017
- Winner, Social Media in Health Sciences Education Research- for “Critique of social media in health education: Issues, Challenges and Opportunities”, Universitas 21 Group of Universities Health Sciences Education Conference, Santiago, Chile, 2015
- Opening Keynote Speaker: “Applied Gamification in the Educational Metaverse.” Virtual Teaching and Learning Innovation Expo in the Metaverse (organised by CUHK, CITYU, HKBU and HKUST), June 2023.
- Invited Speaker: “AI in Medical Education: Lessons and Possibilities from the Higher Education Sector.” Tripartite Medical Education Conference, The Hong Kong Academy of Medicine, Jan 2023.
- Invited Symposium Speaker: “Artificial Intelligence: ally not replacement for educators” Hong Kong University of Science and Technology Annual Teaching and Learning Symposium June 2022.
- Invited Lecture: “Pedagogical Building Blocks for the ‘Metaverse’ of Anatomy Education” Chinese Society for Anatomical Sciences International Congress, Nanning, Guang Xi, China, Dec 2021
- Invited Symposium Lecture: “Research Methods in Medical Education” The Hong Kong Academy of Medicine, Medical Education Conference, Hong Kong, May 2018
- See C, Wong WK (2022) Dialogue-Based Courseware: Creating Two-Teacher Discussion Videos for Anatomy Education. Poster Presentation, CUHK Teaching and Learning Expo 2022, Hong Kong.
- Wong WT, See C, Hwang ISS, Sim VMF (2022) Engaging First-Year MBChB Students in Learning Pre-Clinical Biomedical Science Using Simulation Teaching. Poster Presentation, CUHK Teaching and Learning Expo 2022, Hong Kong.
- Lam P, See C, King I, Han DK, Lei L, Qu H, Cheung W, Wong C, Song YJ (2022) Building a Collaborative Platform for Enhancing Artificial Intelligence Applications in Higher Education. Poster Presentation, CUHK Teaching and Learning Expo 2022, Hong Kong.
- See C, Wong HYC, Fong LYW, Wong SYS, Wong CKM, Tsoi KKF (2022). Developing a blockchain for healthcare curriculum for medical students. Poster Presentation, Association for Medical Education Europe (AMEE) annual conference.
- See C, Cheung, VCK, Wong WK, Lee, JCD, Chan, SO (2021) Crowdsourcing for e-learning Anatomy. Poster Presentation, CUHK Teaching and Learning Expo 2021, Hong Kong.
- See C (2021) Med Ed Lab Hong Kong: Empowering students to co-conduct medical education research. Oral Presentation, 14th International Medical Education Conference, International Medical University Malaysia. Finalist, Ronald Harden Innovation in Medical Education Award.
- CYA Chung, N Leung, HY Tong, JH Young, See C (2021) Humanising Educational A.I. Chatbots: How Medical Student Content Creators Reprogrammed An Ai Database For More Human-Like Conversations. Oral Presentation, International Conference on Medical Education (ICME 2021), Riphah International University, Pakistan.
- Chen JY, Lam TP, Hung FNI, Chan ACY, Chin WY, See C (2021) An Untapped Resource: Students as Near-Peer Teachers in Medical Education. Poster Presentation, HKU Teaching and Learning Festival 2021, The University of Hong Kong.
- Hon NWL, See C (2021) Should AI in healthcare be part of medical curricula? An integrative review of student perspectives. Oral Presentation, Asia Pacific Medical Education Conference (AMPEC), National University of Singapore, Singapore.
- HO YS, See C. (2020) Instagram Stories for teaching human anatomy: possibilities and issues for the COVID-19 era. Poster Presentation, eLearning Forum Asia (eLFA2020), Hong Kong
- See C, Li, Y.S., Lam, C.S.N., Poon, H.K., Wai, M.S., Lau, J.W.S., Chan, L.K., Chan, S.O. (2020, Jul). DeepMind and Beyond: Using Machine Learning to Teach an Artificial Intelligence Anatomy for Medical Education. Poster Presentation, CUHK Teaching and Learning Expo 2020, Hong Kong.
- Lam, C.S.N., Li, Y.S., Chan, L.K. & See, C. (2019, Nov). Can the AInatomy Chatbot Teach Anatomy? Poster Presentation, 2nd Korea University International Medical Student Conference, Seoul, Korea.
- See, C. & Tsui, M.Y.S. (2019, Aug). The P.E.R.F.U.M.E. study: peer-ethnographic research on feedback in undergraduate medical education. Oral presentation, Association for Medical Education Europe (AMEE) Annual conference, Vienna, Austria.
- Yuen, J.K., See, C., Lum, C.M., Cheung, T.K. & Wong, W.T. (2019, Aug). Impact of serious illness communication skills training on medical students’ empathic attitudes and self-efficacy in empathic communication. Poster presentation, Association for Medical Education Europe (AMEE) Annual conference, Vienna, Austria.
- See, C., Lam, C.S.N., Li, Y.S. & Chan, L.K. (2019, May). Methods for training an AI for Higher Education. Poster Presentation, Centre for Information Technology in Education Annual Research Symposium (CITERS), The University of Hong Kong.
- Tsui, M.Y.S. & See, C. (2019, May). Is peer-ethnography a useful tool for postgraduate medical education research? An analysis of the literature and experience sharing. Poster Presentation, 5th Medical Education Conference, Hong Kong Academy of Medicine.
- See, C., Cecot, T.S., Choi, P.H., Ng, L.S. & Siu, M.F.P. (2019, April). Functional Anatomy Training: An interdisciplinary approach to enhancing student wellbeing in health professions education. Oral Presentation, Bridging the Gap: Translating Interdisciplinary Research into Evidence-Based Practice, Hong Kong Shue Yan University.
- Yuen, J.K., See, C., Lum, C.M., Cheung, T.K. & Wong, W.T. (2019, Jan). Empathy Training For Medical Students Through A Blended Learning Communication Skills Training Programme: A Mixed-Methods Study, Oral Presentation, 16th Asia Pacific Medical Education Conference (APMEC): Education for Health – Trends, Issues, Priorities, Strategies (TIPS), Singapore.
- Chen, J.Y., Lam, T.P., Hung, F.N.I., Chan, A.C.Y., Chin, W.Y., See, C. & Tsang, J.P.Y. (2018, Dec). A pilot project on medical students as peer tutors: Perspectives from stakeholders. Oral Presentation, Frontiers in Medical and Health Sciences Education International Conference: The University of Hong Kong.
- Lam, C.S.N., Chan, L.K. & See, C. (2018, Dec). Converse, Connect and Consolidate – The Development of an Artificial Intelligence Chatbot for Health Sciences Education. Oral Presentation, Frontiers in Medical and Health Sciences Education International Conference: The University of Hong Kong.
- Wong, W.C.W., Choi, W.Y.K., Lau, T.H.S., Song, L., See, C., Sun, W.H., Tucker, J.D. (2018, June). Development of a peer-led web-based intervention to promote safe usage of dating applications among young adults. Oral Presentation, Global Healthcare Innovation Academy Conference, Hong Kong.
- See, C., Lau, S.T.H., Sun, J., Choi, K.W.Y. & Wong, W.C.W (2018, May). Crowdsourcing for digital learning. Conference Workshop, Centre for Information Technology in Education Research (CITERS) Conference, The University of Hong Kong.
- See, C., Ng, E., Fong, D.Y.T., Lau, C,S., Lam, T.P. (2017, Dec). Medical student peer-created e-learning resources in social media: a mixed-methods study. Oral Presentation, 9th Asian Medical Education Association Conference, Hong Kong.
- See, C., Wang, L.D.L., Lau, C.S. & Lam, T.P. (2017, March). A systematic review of ethnographic studies in medical education using the Qualsyst assessment tool. Poster Presentation, Primary Care Research Symposium, The University of Hong Kong.
- See, C., Lau, C.S. & Lam, T.P. (2016, June). The design, implementation and evaluation of an Escape-Room as a form of game-based learning in medical education. Oral Presentation, Centre of Information and Technology in Education Research Symposium, The University of Hong Kong.
- See, C., Lam, T.P. & Lau, C.S. (2015, Sept). Critique of social media in health education: Issues, Challenges and Opportunities. Oral Presentation, Universitas-21 Health Sciences Education Conference, Santiago, Chile.
- See, C., Lam, T.P. & Lau, C.S. (2015, Dec). A role for wearable micro-technology in medical education research. Oral presentation, 9th Frontiers in Medical and Health Sciences Education International Conference at The University of Hong Kong.
- See, C., Lam, T.P & Lau, C.S. (2014, April). Crowdsourcing in medical education: a visual example using anatomical henna. Oral presentation, The American Association of Anatomists Annual Meeting, San Diego.
- See, C., Lam, T.P. & Lau, C.S. (2013, Dec). My stay amongst the digital tribe; an in-depth qualitative ethnographic study of e-learning culture amongst undergraduate medical students. 8th Frontiers in Medical and Health Sciences Education International Conference at The University of Hong Kong. Best Oral Presentation Award.