Dr Qian Xiao
Human+ Programme Fellow
Programme Supervisors:
Prof. Vincent Wade, Prof. Keith Johnson
Dr Qian Xiao
Research Theme: Computer Science and Engineering Research

Xiao is based in the ADAPT Centre and her work is focused on Research for the development of computing technology with insights informed by the Arts and Humanities. She will work closely with her academic mentors Prof Vinny Wade (School of Computer Science and Statistics) and Prof Keith Johnson (School of Education) to address challenges encountered in embedding AI techniques with educational settings to enhance educational practices. In her Human+ project, she will investigate novel machine learning approaches for learner modelling with user behaviour data in intelligent tutoring systems (ITSs).  Specifically, she will explore deep learning techniques and graph representation learning methods to utilize rich information captured by the ITS to generate informative insights for the education domain. This project aims to identify the cause of the inefficacy of users’ learning strategies in ITSs automatically.  In addition, it will also explore a mechanism that provides interpretable explanations, which will potentially reveal insightful patterns that suggest effective interventions in the education context.

In her spare time, she enjoys doing gardening, cooking as well as video editing. She likes spending time making food in Asia traditional cuisine (e.g., tofu) with basic ingredients from scratch.