Teaching & learning

Teaching

Project-based learning, authentic industry problems, and human–AI collaboration grounded in evidence and accountable judgment.

Learning philosophy

AI should deepen inquiry,
not bypass it.

Students learn to make claims, test evidence, and defend decisions—not merely produce polished outputs.

Data Mining ApplicationsInformation Systems ManagementSyntegrative Education in Deep Practice
2026

Syntegrative Education Excellence Award

2025

XEC Champions Best Practices Sharing Award

2024

Teaching Excellence Award

2024

Excellent Supervisor, Citi Cup Fintech Competition

2021 & 2020

Monash Purple Letter for Outstanding Teaching Performance

Current project · Active since January 2026

Responsible AI
in project-based learning.

eduScrum teaching development project

I am principal investigator of an active XJTLU teaching development project exploring responsible and effective AI use through eduScrum and real-world learning.

View the institutional project record ↗
2026 · Conference proceeding

Governing generative AI in PBL

eduScrum as a process governance framework for accountable collaboration and student agency. Read the publication summary →

2026 · Conference proceeding

OilWise Enterprise

A student project connecting explainable AI, financial decision support, and oil-price risk analysis. Explore the project paper →