Sometimes I feel like I’m nagging my data science students when I tell them to use function x in R instead of almost-identical function y. Other times, I remember that function y has awful output that makes grading their work a pain, and I stop worrying.
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Teaching R for the first time, and many students are first-time programmers. I’m reminded of teaching French in terms of how easy it is to take for granted things that aren’t obvious to beginners.
I’ve said it before, and I’ll say it again: Nothing reminds me as much of teaching French as does teaching programming. It takes a lot of the same metacognition to learn both, and it’s really hard to teach that metacognition.
Generally, I discourage my intro to data science students from tackling questions they can’t answer at their level of programming, but sometimes I get so interested in the question that I end up writing the code for them so I can see what they do with it.
Really leaning into ethics and justice elements of data science in my fall class, and I’m wondering how much pushback I’m going to get. I’ve taught about racism, sexism, and colonization in games in another class with very few complaints, but this feels different somehow.
why 'open access' isn't enough
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