Sasha Poquet

Sasha Oleksandra Poquet is assistant professor at the Department of Educational Sciences, School of Social Sciences and Technology, Technical University Munich. Dr Poquet leads a research lab that investigates LEarning Analytics and Practices in Systems (LEAPSLab). The lab focuses on social learning and relationship formation in technology-augmented environments, applies complex systems approaches in the analysis of learning, and examines the use of educational technology for lifelong learning. Dr Poquet is an external affiliate of the Centre for Change and Complexity in Learning, University of South Australia. From 2017-2021, she has served on the Executive Committee at the Society for Learning Analytics Research (SoLAR), as its Vice President in 2019-2021. Dr Poquet has been a convener of the series of workshops on networks in learning analytics and has edited a special issue on this topic for the Journal of Learning Analytics.

Simon Buckingham Shum

SimonSimon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney where he serves as inaugural director of the Connected Intelligence Centre (CIC). CIC is a transdisciplinary innovation centre inventing, piloting, evaluating and scaling data-driven personalised feedback to students. Prior to this he was a founding member of the UK Open University’s Knowledge Media Institute (1995-2014). Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Hypertext, Design Rationale, Open Scholarly Publishing, Semantic Web, Computational Argumentation, Computer-Supported Cooperative Work, Educational Technology and Learning Analytics/AI in Education. He has worked over the last decade to help establish the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and helping to catalyse subfields including Social Learning Analytics, Dispositional Learning Analytics and Writing Analytics. Simon’s background in Psychology (B.Sc.), Ergonomics (M.Sc.) and Human-Computer Interaction (Ph.D.) always draw his attention to the myriad human factors that determine the effective adoption of new tools for thought, and the kinds of futures they might create at scale.