Speaker: Dr. Xiao Hu, Division of Information and Technology Studies, Faculty of Education, HKU
Date: 26 May 2016 (Thursday)
Time: 12:30-2:00pm
Venue: Room 205, Rumme Shaw Building [Sandwiches will be served with tea and coffee]
Respondent: Professor Liaquat Hossain, Division of Information and Technology Studies, Faculty of Education, HKU
Chair: Professor Amy Tsui
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Abstract
This talk presents the latest progress of a project that aims to develop a Learning Analytics tool based on Moodle log data, for the purpose of predicting students learning outcomes and identifying at-risk students in real-time. This study focuses on “Common Core Curriculum” (CCC) courses in HKU. A framework is proposed to link LMS logs, assessment tasks and learning outcomes. Predictive models are built to estimate students’ performance based on features extracted from Moodle database. A tool is developed and integrated into Moodle and is currently under evaluation.
About the speaker
Dr. Xiao Hu is an Assistant Professor in the Division of Information and Technology Studies in the Faculty of Education of the University of Hong Kong. Her research interests include learning analytics, data/text mining, and information retrieval. Dr. Hu is currently working on several projects using learning analytics to improve teaching and learning.
About the respondent
Professor Liaquat Hossain is interested in exploring resilience, robustness, accuracy and precision of information flow in organisational, community and engineered complex systems. He has been using socio-physical analytics and social networks to explore disaster/crisis management and understanding resilience for dealing with disasters related to flood, fire, tsunami, disease outbreaks from food, zoonotic diseases and other man made and bio related security preparedness and response. His investigation aims to explore functioning and robustness of hierarchical structures and potential problem leading to disruption or delay in the adaptation of behaviours for optimal functioning.