This is our proposal to SXSW Interactive 2015! Please vote for us at http://panelpicker.sxsw.com/vote
Summary: As the demand for producing high-quality data visualizations grow, so does the demand for high-quality instruction. How can students combine statistics, design, and programming to understand and visualize data? Courses in data visualization are now being offered in a wide array of fields: journalism, computer science, art, and public policy, to name a few. And in addition to traditional learning settings such as universities, online courses are allowing more people to learn these skills, but also create new questions about the most effective ways to teach these skills. In this panel, we propose to discuss the challenges surrounding teaching data visualization, a topic that is receiving increased attention and scrutiny (see, for example, this recent Data Stories podcast: http://datastori.es/ds37-teaching-visualization-w-scott-murray-and-andy-kirk/).
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Transcript
I’m not a teacher; only a fellow traveler of whom
you asked the way. I pointed ahead – ahead of
myself as well as you. - George Bernard Shaw
In April 2015, 4 experts will convene at SXSW to discuss the challenges & issues of teaching data visualization
Kaiser Fung Junkcharts.com, Vimeo, & New York University
Cole Nussbaumer Storytellingwithdata.com & Maryland Institute College of Art
Jonathan Schwabish PolicyViz.com, Urban Institute, & Georgetown University
Ben Shneiderman University of Maryland-College Park
?What skills should students expect to have upon completing a course in data visualization?
?Are there specific resources, websites, tools, or methods that can be used to improve instruction?
?Should data visualization courses focus on a single tool, multiple tools, or no tools at all?
?To what extent should a data visualization course touch upon statistics and working with data?
?What are the best types of exercises, examples, homeworks, and exams?