Mr Aaron Choong’s research sits at the intersection of engineering education, AI applications and equity, diversity and inclusion (EDI). He investigates how AI tools, such as large language models, can enhance student learning, train teaching associates (TAs) to identify and address challenges and unconscious biases and deliver adaptive support in real-time. His work targets barriers that can prevent students from thriving, including environmental, cognitive and cultural factors, with interventions applied early in the learning journey.

In parallel, Mr Choong leads EDI initiatives in Electrical Engineering, co-developing TAs training workshops, mentoring SMEE committee members and fostering balanced learning environments. He examines the experiences of underrepresented students, including women, international Masters students and neurodiverse learners, translating insights into curricula, workshops, mentorship programs and AI-driven tools.

Mr Aaron Choong also supervises final-year robotics projects, guiding students to apply 3–4 years of learning in student-led, industry-relevant designs. He runs hybrid classes, enabling remote participation and emphasising human-centred approaches that blend technical skill with empathy. Preparing for a PhD, he aims to replicate his teaching and mentoring impact at scale.

By combining AI, EDI and human-centred pedagogy, Mr Choong bridges research and practice, creating measurable improvements in engagement, retention and outcomes for diverse students. Ultimately, his work strives to make engineering education more inclusive, innovative and future-ready, supporting students and TAs to succeed academically and personally.