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This is a free, self-paced online course.
In this taster course, interdisciplinary researchers will guide you through some of the practical methods and tools you can use to investigate Facebook’s data on you – even if you don’t have an account with them!
The following content will be covered:
This course is suitable for those who want to gain a greater understanding of the data Facebook collects.
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START DATE |
Start anytime |
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MODE |
Online |
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DURATION |
Self paced |
Kirsty’s research models the many ways in which humans interact with information and how this can change as a result of context. She is working towards providing unified mathematical and computational models of contextuality, which often results in apparently complex and unpredictable human behaviour. She received an ARC Postdoctoral Fellowship for a Discovery Project investigating this problem.
Kirsty has collaborated on projects with people from a wide range of fields, including physics, experimental psychology, cognitive science, computer science, social psychology, education and computational linguistics.
Evidence and argumentation are increasingly under the spotlight. Simon’s broad background in educational research has led him to focus on how people think about knowledge and evidence and take action in regard to that knowledge. In particular, he has investigated how teachers think about and use data in their practice and how we can support students to navigate complex evidence through technologies.
Simon’s teaching now focuses particularly on quantitative literacy and teaching students to spot where statistical information has been used well, poorly, or omitted where it should not have been. He is the Director of the UTS Centre for Research on Learning in a Technological Society, and lead of the Faculty of Transdisciplinary Innovation research team on Transformative Learning.
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