
Dr Qian Xiao
Research Fellow
Status: Former Member
Email Address: qian.xiao@adaptcentre.ie
Dr Qian Xiao is a Human+ programme fellow from the Computer Science and Engineering Research Strand. Xiao is based in the ADAPT Centre and her research is focused on the development of Computing Technology with insights informed by the Arts and Humanities. She is working closely with her academic mentors Prof Vincent 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 is investigating novel machine learning approaches for learner modelling with user behaviour data in intelligent tutoring systems (ITSs). Specifically, she is exploring deep learning techniques and graph representation learning methods to utilise rich information captured by the ITS to generate informative insights for the education domain. Her work aims to identify the cause of the inefficacy of users’ learning strategies in ITSs automatically. In addition, it also explores a mechanism that provides interpretable explanations, which will potentially reveal insightful patterns that suggest effective interventions in the education context.
-
Artificial Intelligence
-
Deep Learning
-
Digital Humanities
-
Machine Learning
Publications by Qian Xiao
-
PUBLICATION: PLEA 2024 - 37th International Conference: (Re)thinking Resilience AUTHOR(S): Kevin Credit, Qian Xiao, Jack Lehane, Juan Vazquez, Dan Liu, Leo De Figueiredo DATE: 25/06/2024 TYPE: Conf papers -
PUBLICATION: AIED 2023 - 24th International Conference on Artificial Intelligence in Education AUTHOR(S): Qian Xiao, Breanne Pitt, Keith Johnston, Vincent Wade DATE: 26 June 2023 TYPE: Conf papers
- 1