Was uncertain how much my students would come in knowing (our program requires genetics, but sometimes students don't take it till senior year, which is also when they tend to take this wildlife course).
I started class with an anonymous (ungraded) quiz on some #genetics basics (e.g., "In eukaryotes, DNA is housed in what structure[s]?") that I made and gave via @Socrative .
In a class of 15 on a 6 question quiz, the avg. was a 63%, and I learned where their knowledge gaps were.
Just having that little bit of info helped me target the review part of my lecture, and it seemed to up everyone's comfort level (including mine).
I was prepping this lecture up till right before I gave it, and I almost didn't include the quiz, but am really glad I did. #STEMed
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🏙️#Sex biases in the individuals studied in the lab & field. Why is it more often males of a species? What data are we missing because of that bias? 🤔
(Prompted by: onlinelibrary.wiley.com/doi/abs/10.111…)
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Any recommendations for ways to collect data about color & pattern from images of #wildlife? We want to quantify things like %cover by a color & intensity.
Have enjoyed reading some of the work by Davis & Grayson on quantifying #color, hue, % coverage in #newts and other animals.
They used Fovea Pro, a Photoshop add in. The newer version (QIA-64) costs ~$800 😬
Am also considering the methods of Paterson & Blouin-Demers where they quantify continuous variation in throat color in #lizards using Adobe & ultimately analysis in #imageJ (but haven't had time to test it out yet)