What works in your college-level computer-assisted reporting or data journalism course? Is there one piece from your syllabus that you find to be especially successful with your students? Is there an approach to teaching this that works every time? Is there a data set that is a sure bet? Is there a magical exercise that always succeeds?
If so, we'd like you to share this best practice with other educators at NICAR 2016. Pitch us your best practice(s) that you'd like to share (using this form) and we'll choose some of you to present a 5-minute lightning talk during a session dedicated to teaching students how to use data in journalism.
Your "best practice" could be related to anything we might teach in a CAR or data journalism course – finding data, cleaning data, using spreadsheets or database managers, creating data viz, maps, scraping, basic coding, etc. It doesn't have to be a hands-on exercise, either. Tell us about particularly successful assignments or even something about your course philosophy or overall approach.
Please submit your lightning talk pitch by Friday, Feb. 19th using this form.
Panel organizers Brant Houston and Meredith Broussard will review the submissions, and notify the selected speakers by Feb. 25th. That'll give you two weeks to polish your routine!
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