LAK Theory 2021: Workshop on Theory and Learning Analytics

LAK Theory 2021: Workshop on Theory and Learning Analytics

Online workshop
Monday, 12 April 2021 - Tuesday, 13 April 2021
12 am - 12 am (AEST)
Free

In this workshop we’ll work together to make explicit connections between theory and learning at any stage of research – from conceptualisation right through to analysis and interpretation. The organisers will set the scene by giving an overview of theory use in learning analytics, followed by short talk from Sarah Howard and Karl Maton on ‘Theory that Works with Big Data’. The remainder of the time will be given over to roundtable discussions.

Participants will be invited to nominate a current research project that would benefit from a roundtable-style discussion with colleagues, along with a theoretical framework of interest. We’ll close with some tech-mediated birds of a feather activities, and consider gathering this community of practice together again.

Organisers

  • Kathryn Bartimote, University of Sydney, Australia
  • Sarah K. Howard, University of Wollongong, Australia
  • Dragan Gašević, Monash University, Australia
Research

Event contact

Professor Dragan Gašević

Discipline Lead, Translational AI E: Dragan.Gasevic@monash.edu

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