SBS Research Pillar Key Visual for Development, Disease and Target Discovery Mobile Version

Profile Photo of SBS Faculty Sze Chun Chau

Dr. Sze, Chun Chau

Principal Lecturer
Assistant Chair (Undergraduate Education)
Director, Experiential & Collaborative Learning

Phone: (65) 6316 2872
Email: [email protected]

While learning through co-curricular activities (CCA) has been recognized as a component of “holistic education”, the reality is that when the going gets tough, CCA are the first to be advised to be discarded. Yet, because they tend to be what genuinely interests students, it would be a wasted opportunity if such authentic passion is not tapped upon. Based on this, a pedagogical scaffold has been developed and established in NTU – the Deeper Experiential Engagement Project (DEEP) scheme. First, a CCA that has the potential to be deepened through creative undertaking, e.g. an interest in cooking that may be deepened into recipe development, is matched to an academic discipline of relevance , e.g. biological sciences experimentation principles. Students are given the freedom to explore and fail, but their deliverables are structured around Kolb’s Experiential Learning Cycle to drive learning beyond simple co-curricular interests.

My research interest revolves around the practice and innovation associated with experiential learning driven by inherent personal interests not necessarily related to students' own academic discipline. Additionally, I work with the data scientists to develop intelligent agents that may guide a student through a personalized holistic learning journey.

Research Areas

experiential learning, holistic education, co-curricular learning, artificial intelligence, personalization of learning journey
  • Lai, J.W., Zhang, L., Sze, C.C., and Lim, F.S. “Learning Analytics for Bridging the Skills Gap: A Data-Driven Study of Undergraduate Aspirations and Skills Awareness for Career Preparedness.” Education Sciences 15, no. 1 (2025): 40. https://doi.org/10.3390/educsci15010040
  • Tan, L., Tan, O.K., Sze, C.C., and Goh, W.W.B. “Emotional Variance Analysis: A New Sentiment Analysis Feature Set for Artificial Intelligence and Machine Learning Applications.” PLOS One (2023). https://doi.org/10.1371/journal.pone.0274299
  • Lin, L., Tan, L.W.L., Kan, N.H.L., Tan, O.K., Sze, C.C., and Goh, W.W.B. “Predicting Student Performance in Experiential Education.” Lecture Notes in Computer Science 12923 (2021): 328–334. https://doi.org/10.1007/978-3-030-86472-9_30
  • Chew, C.C.A., Lee, Y.X., Koh, T.S., Sze, C.C., and Goh, W.W.B. “Reimagining the Singapore Pre-University Biology Curriculum with Computational Thinking.” Asian Journal of the Scholarship of Teaching and Learning 11 (2021): 130–141.
  • Ho, S.Y., Tan, S., Sze, C.C., Wong, L., and Goh, W.W.B. “What Can Venn Diagrams Teach Us about Doing Data Science Better?” International Journal of Data Science and Analytics 11 (2021): 1–10. https://doi.org/10.1007/s41060-020-00230-4