Colloquium | November 5 | 4-5:30 p.m. | Berkeley Way West, Room 1215 (2121 Berkeley Way, Berkeley, CA)
David Williamson Shaffer, University of Wisconsin-Madison, Department of Educational Psychology
In the age of Big Data, we have more information than ever about what students are doing and how they are thinking. However, the sheer volume of data available can overwhelm traditional qualitative and quantitative research methods, leading to research that finds significance without meaning. The science of quantitative ethnography connects the study of culture with statistical tools to understand learning, taking a critical step in the new field of learning analytics: going beyond looking for patterns in mountains of data to tell textured stories at scale.
About the speaker: David Williamson Shaffer is the Vilas Distinguished Professor of Learning Sciences at the University of Wisconsin-Madison in the Department of Educational Psychology, the Obel Professor of Learning Analytics at Aalborg University in Copenhagen, and a Data Philosopher at the Wisconsin Center for Education Research. He is the author of How Computer Games Help Children Learn and Quantitative Ethnography.