Quantitative Ethnography: Tools for Modeling Meaning in Learning Analytics ─ Public Lecture by Professor David Shaffer | 27 May 2022
From Chung-Yan Kong
From Chung-Yan Kong
Professor David Shaffer gave a public lecture on Friday the 27th May 2022 between 15:00-16:30 in Room 5.11 Charteris Land, Moray House School of Education and Sport, University of Edinburgh. This video was his presentation entitled ‘Quantitative ethnography: Tools for modeling meaning in learning analytics’.
Quantitative Ethnography is a growing field looking at reasons to – and ways to – keep the concept of meaning central in work on learning analytics and the social sciences more generally. In the age of big educational data, researchers have tools to find ever more subtle patterns in data about teaching and learning – and about teachers and students. But big data presents challenges to traditional research methods, both qualitative and quantitative: challenges to our understanding of utility, reliability, validity, replicability, interpretability, and even significance itself. This talk looks at how quantitative ethnography can help researchers address these challenges.
About the speakerDavid Williamson Shaffer is the Vilas Distinguished Achievement Professor of Learning Sciences at the University of Wisconsin in the Department of Educational Psychology and a Data Philosopher at the Wisconsin Center for Education Research. Professor Shaffer studies how to develop and assess complex and collaborative thinking skills.
Learn more about Professor Shaffer.
Visit CREID website to see other recent and upcoming events.
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.
Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.
Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2021 and may only be used in accordance with the terms of the licence.