Leverhulme Workshop - Epistemic Network Analysis
| Dates: | 29 February 2024 |
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| Times: | 10:00 - 12:30 |
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| What is it: | Workshop |
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| Organiser: | School of Environment, Education and Development |
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| Who is it for: | University staff |
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| Speaker: | Professor David Williamson Shaffer |
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This hands-on workshop introduces participants to the principles of Quantitative Ethnography (QE), an approach to analysing Big Data that goes beyond the old dichotomy of qualitative and quantitative methods and simple mixtures of methods.
The workshop led by Prof Shaffer focuses on Epistemic Network Analysis (ENA), a tool for modelling complex and collaborative thinking within a QE framework. ENA models how humans make meaning of events in the world using large- and small-scale datasets of many kinds, including logfiles, transcripts of structured and semi-structured interviews, simulations, chat, email, and social media. A laptop with web access is helpful, but not required.
As places are limited to 25 colleagues (inc PGRs), sign-up at the earliest opportunity to avoid disappointment: https://www.eventbrite.co.uk/e/leverhulme-workshop-on-epistemic-network-analysis-tickets-791027493527
The Digital Technologies, Communication & Education (DTCE) and Education & Psychology (EP) research and scholarship groups in MIE will be co-hosting Professor David Williamson Shaffer, University of Wisconsin-Madison, as part of a Leverhulme International Professorship visit.
David’s research on merging statistical and qualitative methods to construct fair models of complex and collaborative human activity is internationally recognised. He has authored more than 250 publications with over 100 co-authors, including How Computer Games Help Children Learn and Quantitative Ethnography (which introduced Epistemic Network Analysis).
Speaker
Professor David Williamson Shaffer
Organisation: University of Wisconsin-Madison
Biography: David Williamson Shaffer is the Sears Bascom Professor of Learning Analytics and the Vilas Distinguished Achievement Professor of Learning Sciences at the University of Wisconsin-Madison and a Data Philosopher at the Wisconsin Center for Education Research. His M.S. and Ph.D. are from the Media Laboratory at the Massachusetts Institute of Technology, and before coming to the University of Wisconsin, he was a teacher, teacher-trainer, curriculum developer, and game designer. Professor Shaffer’s current work focuses on merging statistical and qualitative methods to construct fair models of complex and collaborative human activity. He has authored more than 250 publications with over 100 co-authors, including How Computer Games Help Children Learn and Quantitative Ethnography.
Travel and Contact Information
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Alan Turing Building
Manchester
