Some interesting thoughts here from Doctorow. Makes me want to put more effort into OER.

The sheer hassle of ordering an instructor copy of this McGraw-Hill textbook is only strengthening my commitment to eventually replacing it with an open 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).

The new semester at the University of Kentucky starts on Monday, and I am flailing to try to get my data science course ready to go—including putting together an open, alternative textbook for my students. I’ve been borrowing heavily from Catherine D’Ignazio and Lauren Klein’s Data Feminism for my textbook: It’s a fantastic resource, and I’m hoping my students take a lot from it.

Of course, my kid’s semester has already started, and I’ve already blogged a bunch about my frustrations with her new school’s use of ClassDojo this year. It turns out that Data Feminism is also a helpful resource here. Riffing on the common “data is the new oil” metaphor, D’Ignazio and Klein argue that:

Masnick’s critiques of Pearson here are better than anything I could have written.

Ugh, Pearson. Why do we keep thinking about ways to make digital textbooks worse than physical ones?

I just barely microblogged something about what I want to say here, but over the past hour, it’s been nagging at me more and more, and I want to write some more about it.

I was introduced to academia through educational technology, and I was introduced to educational technology through a class at BYU taught by David Wiley. This class was not about educational technology, but David’s passion for Web 2.0, Open Educational Resources, and remix culture were so strong that I got hooked. OER and Creative Commons licensing both got firmly planted deep in my thinking, and even though they never became a focus of my own edtech work, they’ve also never left my brain.

This summer, I’m remixing an alternative textbook for my Fall intro to data science class, and I’m pleasantly surprised by how helpful Creative Commons-licensed journal articles are proving. Shows that “open access” is only part of license’s benefits.

OER forever. This article makes me sad.

Getting in touch with my BYU roots in educational technology by applying for a grant to move to alternative textbooks for my Fall 2019 course.