Mr Leo Huang
College of Business and Economics
Research School of Finance, Actuarial Studies and Statistics
Leo Huang has been tutoring actuarial and statistics courses at undergraduate, honours and postgraduate levels since 2019. With a deep understanding of the course content and a passion for tutoring, he uses cutting-edge technology to deliver complex actuarial concepts without losing the human element. Leo was awarded the ANU College of Business and Economics Teaching Commendation for Outstanding Tutoring in 2022.
Reimagining learner-centred teaching approaches
Guided by a learner-centered philosophy rooted in Constructivist Learning Theory and reflective teaching, Leo tailors his tutoring methods to diverse student needs. In actuarial courses like Risk Modelling 2 (RM2), recognising learning challenges faced by students in grasping interconnected concepts, he harnessed the power of mind maps and connection maps to reinforce learning. These tools were chosen based on their empirically validated ability to clarify and highlight relationships among disparate ideas using colours and graphics. By emphasising these connections, the maps cater to visual learners and those struggling to see the ‘bigger picture’ of complex actuarial topics. Introducing these maps during tutorials served a dual purpose: they offered a novel teaching method tailored to these specific challenges and provided a structured study guide. As a result, students were better equipped to understand and reinforce pivotal theories and concepts from the course. By illuminating critical concept relationships, students deepened their understanding and more effectively applied actuarial theories to real-world situations.
In line with the University’s vision for 2025, Leo utilised AI assistance to digitally enhance the delivery of his Actuarial Data Analysis (ADA) tutorials. He leveraged AI technology to restructure R code and generate comprehensive comments and summaries, thereby transforming complex coding materials into a more digestible format. The purpose of this innovative approach is to facilitate a more comfortable and effective learning experience for students navigating the intricate landscape of R coding in ADA. The adoption of this AI-driven teaching aid reflects a forward-thinking approach to curricula design, embracing the digital evolution of learning and teaching in the field of actuarial science and statistics.
With Leo’s incorporation of AI technology in actuarial data science tutorials, learning R code has become less intimidating and much more engaging.
Student comment
Through actively seeking student feedback and engaging in professional development, Leo ensures his tutoring sessions are dynamic, responsive, and effective, greatly enhancing the student learning experience.
Peer tutor comment