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Home Page: https://github.com/ropensci/unconf18/issues/63
An project on education with R from rOpenSci unconf 2018
Home Page: https://github.com/ropensci/unconf18/issues/63
I'm also very interested in being involved with this as it moves forward (thanks for starting it up!).
I work in applied linguistics. R is a part of three courses that I teach:
Unfortunately, I haven't taken the time yet to make any of my materials for these courses public (I plan to soon). I've been at under this, sort of, approach now for one academic year, and I am heading into my second.
I'm teaching a mandatory recitation for an undergraduate biostatistics course next semester. This will be my third time teaching it. The first year, we used SPSS like in previous years. Then, I was able to convince the instructor to switch to R if I would stick around to teach the recitation. The first year using R went really well, I think, and we (me and another TA) learned a lot. This year I'm redesigning a bit to focus pretty exclusively on the Tidyverse. The only real hesitation before was that ggplot2 was more than most students needed for this course. But the different syntaxes used by different base R plots confused students, so I'm hoping it's worth the upfront investment into ggplot2, even if it seems like overkill, to make things less confusing to students by the end. I've never really taken a course that taught R, or really had any formal training about teaching R or any other programing language, so it's difficult for me to know how I'm doing except by getting student feedback. I'm hoping to get and give feedback on teaching materials and strategies!
I'm be really interested in participating if this initiative keeps going forward. The challenges mentioned in the posts (especially between balancing skills and domain content) really resonate with things I've encountered in my classes.
I'm interested.
I've been working to get our Intro Bio labs using R for data analysis. See https://github.com/rachelss/BIO103R
I am trying to build on the above by teaching students to analyze ecological data in parallel to taking an Ecology class. See https://github.com/rachelss/BIO263_Fall18
I hope we'll begin to teach many of our classes using data now that all our majors have a base skill set in R.
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