How learning science can inform Learning Analytics

ASCILITE Learning Analytics Special Interest Group – 2023 Series

The ASCILITE Learning Analytics SIG group are pleased to announce their 2023 series on “How Learning Science can inform Learning Analytics”. This will involve a series of workshops and seminars that explore ways that the learning sciences can be included in the design of learning analytics tools and approaches.

Understanding how students learn is fundamental to being able to interpret and translate learning analytics into feedback and/or interventions to support learning outcomes and environments. The field of learning science is full of research that helps us to understand more about the different ways that students learn while providing examples of how data can be used to inform teachers on student learning processes and progress. This new series will promote conversations in the LA SIG community on opportunities for connections between learning science and learning analytics. Inspired by the six questions proposed by the Deans for Impact around learning science, the series will involve experts from around the world on different elements of learning sciences and learning analytics culminating in a workshop at the annual ASCILITE conference.

The first webinar in this series will take place on 9^th March 2023 at 12pm (AEDT) presented by Associate Professor Jason Lodge from the University of Queensland.

What are common misconceptions about how students think and learn; why do they matter?

Learning is a complex human activity that cannot be observed directly, only inferred. There are many ideas about the processes and outcomes of learning and a not insignificant amount of uncertainty about the mechanisms. This uncertainty leaves gaps in our understanding that can be filled (and occasionally exploited) with weird ideas. In this session, we will review some common misconceptions about learning and discuss why these misconceptions pose a challenge to learning analytics and education, more broadly.

Bio

Jason Lodge is Deputy Associate Dean (Academic) for the Faculty of Humanities and Social Sciences and an associate professor in educational psychology in the School of Education at The University of Queensland.  His research with the Learning, Instruction, and Technology Lab focuses on the cognitive, metacognitive, and emotional mechanisms of learning, primarily in post-secondary settings and ​digital learning environments. He has a particular interest in self-regulated learning with technology. Jason currently serves as a Lead Editor of Australasian Journal of Educational Technology and Editor of Student Success.

Register here to attend this webinar.