I mean this as a general observation and not generational handwringing, but it’s amazing how many cues my students take from YouTubers when recording video presentations for my class.

I like peer reviewing manuscripts that cite my work, and I especially like correcting manuscripts that misunderstand my work, but my favorite is reviewing a manuscript that gives my work too much credit so that I can say “hey, this guy doesn’t know as much as you think he does.”

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.

I’m becoming more and more skeptical of “improve teaching and learning” as a motivation for education (and especially edtech) research—it’s a noble goal, but it distracts us from so many other important questions.

When my sister was in town last week, kiddo insisted on drawing her a surprisingly accurate diagram of how data gets transferred over the internet, so I brought it into the office for the next time I have to teach it.

Don’t tell my students, but half the reason I have them work with Hugo in my web content management class is because I enjoy working with it so much. Over the past week, I’ve hacked together an author taxonomy for our class site, and I’m super pleased with it.

I think academia undervalues teaching and that teaching-focused faculty deserve more status, recognition, and compensation. Yet, I’m still suspicious of the new BYU-Idaho president’s comments on the need for “a faculty free of the obligations of research.”

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.

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).

Last day of kiddo’s summer, so no matter how behind I am on course prep, we are unapologetically going to the zoo.

Every semester, I give a guest lecture on internet research methods for an undergrad class in my unit. A few days after scheduling this semester’s lecture, I’ve realized it’s the first time I’m giving it after Musk borked Twitter as a data source.

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.

I’m not the only instructor out there with an idiosyncratic but very specific mental style guide for LMS content, right? Right?

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.

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.

Slowly realizing that I have no choice but to make generative AI one of the themes of my content management class in the fall.

After five years of teaching in an LIS program, I’ve finally had the moment I’ve been dreaming of: Running into a former student during a family trip to a local library.

Just had a long conversation with a student that reminded me that we cannot (and should not try to) assess that which we do not effectively teach.

I don’t know if anything makes me angrier about my profession than when a student apologizes that there’s been a death in their family at a busy time of the semester. What have we as professors done to make students feel like they have to apologize for and justify their grief?

One of these mornings where I hope 2022 Spencer put together good slides, because I have class in 20 minutes and haven’t had the time to review them until now.

Somewhat meandering read, but I think there are interesting implications for both teaching and research.

I’m normally a big “break is break” advocate, but family illness meant being behind on work, which meant taking over my father-in-law’s WFH setup today to finish a syllabus and course shell I needed to prep so other instructors could work off them.

When I was still an undergraduate student at BYU, I took a job as a student instructor for FREN 102, the second half of a two-course sequence in first-year French. I had a lot of weird experiences as an undergraduate student teaching and grading other undergraduate students, but the one that I remember this morning is the time that I held a student’s scholarship in my hand. I don’t remember the student’s name or much about her, except a vague recollection of her face and a couple of conversations with her.

In the Greenhalgh home, Mommy’s been sick for over a week, which means Daddy’s not gotten a lot of work done recently. Final grades are due tomorrow, though, so kiddo might get a lot of screen time today.

This semester, my efforts to trust students feel like they’re backfiring. I ungrade, but they don’t take work seriously. I never use plagiarism checkers, but I still have to deal with a last minute case. Not saying I’ll stop effort, but still sucks.