Speaker: Prof. Dragan Gašević, Monash University, Australia
Moderator: Dr. Ramkumar Rajendran, IIT Bombay, India
Curated by: APSCE Learning Analytics and Educational Data Mining (LAEDM) SIG
Date: 11 August 2023
Time: 16:00-17:00 (GMT+10)
Free Register before 9 August 2023: https://new.apsce.net/webinar/39
Complexity of problems that modern society faces require work in teams. This is the reason why collaborative learning is growing in importance in contemporary curricula across all levels of education. However, effective facilitation of collaborative learning is a difficult task that requires considerable resources. This typically involves approaches and tools for assessment of collaboration skills, monitoring group progression, and feedback on individual and group levels. In this talk, we will discuss the role of multimodal learning analytics to support collaborative learning in physical spaces. The talk will first discuss multimodal learning analytic approaches for measurement of different facets of collaborative learning in physical spaces. The talk will then explore modelling approaches that can be used for multimodal analysis of collaborative learning. Finally, the talk will examine approaches that can be used to close the loop of multimodal learning analytics by providing feedback for learners and educators about collaborative learning in physical spaces.
Dragan Gašević is Distinguished Professor of Learning Analytics and Director of Research in the Department of Human Centred Computing of the Faculty of Information Technology and the Director of the Centre for Learning Analytics at Monash University. Dragan’s research interests center around data analytic, AI, and design methods that can advance understanding of self-regulated and collaborative learning. He is a founder and served as the President (2015-2017) of the Society for Learning Analytics Research. He has also held several honorary appointments in Asia, Australia, Europe, and North America. He is a recipient of the Life-time Member Award (2022) as the highest distinction of the Society for Learning Analytics Research (SoLAR) and a Distinguished Member (2022) of the Association for Computing Machinery (ACM). In 2019-2022, he was recognized as the national field leader in educational technology in The Australian’s Research Magazine that is published annually. He led the EU-funded SHEILA project that received the Best Research Project of the Year Award (2019) from the Association for Learning Technology.