Below are posts associated with the “teaching” tag.
on the performativity of teaching
Before writing what I want to write, I want to make a few things clear. Teaching is an important and noble profession, I love being a teacher, and it’s possible (and often easy) to distinguish between better and worse ways of teaching. With that out of the way, I want to start off this post by arguing that teaching is less of “a thing” than learning is. That is, learning is the real phenomenon here, and teaching is sort of an auxiliary practice that aims to support learning but can’t ever quite be the same thing.
🔗 linkblog: my thoughts on 'College Grades Have Become a Charade. It's Time To Abolish Them. - Slashdot'
I really ought to read the original piece instead of just the Slashdot excerpt, but I tried that, and it just made me even more angry, and I don’t think it would change my response. I’m not opposed to doing away with grades, but I’m not convinced by hand-wringing about grade inflation. Grades do need to be meaningful to be useful, but the idea that As need to be reserved for an elite few speaks less to meritocracy (referenced in the full piece) than to a need for an elite.
draft advice for intro to data science students
I am, unbelievably, preparing my fourth offering of my department’s ICT/LIS 661 Intro to Data Science class, and this time around, I’ve decided to add a new section to my “about the class” page in Canvas to head off some concerns that I’ve seen over the past few years. I have a lot of students with no background in either statistics or programming who take my class, and it can be really intimidating for them.
assessment as proof of learning or as learning itself?
Recently, an idea has been bubbling in my head that’s the culmination of months—even years—of thinking about how I assess in my courses. I’ve typically taken the pretty-standard approach that assessment is the process of students’ proving that they’ve learned something. What if, though, assessment is itself the proof of the process of students’ learning something. That is, what if we doled out points for students’ proving that they appropriately participated in learning activities and then trusted the learning to happen on its own?
🔗 linkblog: my thoughts on 'Class Is Canceled Until Further Notice While I Do My Job'
Too much truth in this. link to “Class Is Canceled Until Further Notice While I Do My Job”
🔗 linkblog: my thoughts on 'Generative AI course statement – George Veletsianos, PhD'
George’s example statement is one worth bookmarking. link to “Generative AI course statement – George Veletsianos, PhD”
on Scrabble, French, and what it means to learn
In the summer of 2015, New Zealander Nigel Richards won the French-language world Scrabble championships despite not speaking a word of French. I heard this story on a Radio Télévision Suisse news show repackaged as a podcast (probably Le 12h30, but I can’t remember exactly) and wrote myself a note that if I ever got a chance to teach a class on games and learning, I would use this story in it.
assessment statements in my Spring 2024 graduate syllabus
I ended the Fall 2023 semester with a lot of anxiety and frustration about grades, and there was enough of both that I wound up making a lot of changes to a graduate class that I was sure I was going to keep mostly the same from last year. Not all of these changes were assessment-related (I replaced a lot of readings and shuffled content around some), but I also more-or-less threw out the assessment structure that I’ve been using since 2019 to replace it with something minimalist and closely tied to the course’s learning objectives.
new edition of my remixed data science textbook
I’m happy to share that the Fall 2023 edition of my remixed Introduction to Data Science textbook is now available on my website. This book adapts material from the “ModernDive” Statistical Inference via Data Science course, Catherine D’Ignazio and Lauren Klein’s excellent Data Feminism, a number of other Creative Commons-licensed works, and some of my own contributions to put together a no-cost, openly-licensed textbook for my data science students. I put together the first edition of this book for last Fall’s version of this course, but the first run through taught me a lot, and I’m very happy about this edition (though I do have a small laundry list of errors to fix, and I’d like to eventually get into some fiddlier bits like removing social media icons from the header).
LIS 618 course mentioned in University of Kentucky news
I love hearing from former students about the great and interesting things that they’re up to—and especially when something they learned in one of my classes helped them along the way. In my experience, former students who are up to great and interesting things would often be doing those things whether or not they had taken one of my classes, but I still appreciate feeling like my teaching contributed in some small way.
🔗 linkblog: my thoughts on 'Why AI detectors think the US Constitution was written by AI | Ars Technica'
I don’t like generative AI, and I get grumpy about advice to accept it and work it into classes (even though I probably agree with that approach at the end of the day). For all that dislike and grumpiness, though, I feel even more strongly that AI detectors are not the way to go. This is a really interesting article. link to ‘Why AI detectors think the US Constitution was written by AI | Ars Technica’
how I'm talking about generative AI in my content management class
Fall 2023 will mark my fifth time teaching my department’s class on Content Management Systems. I have really loved taking on this class and making it my own over the past several years. It’s also been fun to see how teaching the class has seeped into the rest of my life: It’s a “cannot unsee” situation (in a good way!) where the concepts I teach work themselves into everyday encounters with the news, my own websites, and other things around the internet.