Surviving Peak Higher Ed with Bryan AlexanderThe total number of students enrolled in US higher education institutions grew steadily in the 80s, 90s, and early 2000s. However that total peaked in 2011 at around 18 million students. It’s been declining ever since. You can imagine some of what that means—fewer students means less tuition, which means fewer faculty and staff and the closure of colleges and universities. US higher ed has been on the downhill across multiple measures for about 15 years now. That decline is the focus of Bryan Alexander’s new book Peak Higher Ed. If a whole book on the crash of higher ed sounds grim, well, there’s some hope in the subtitle of Bryan’s book: How to Survive the Looming Academic Crisis. See, Bryan Alexander is a futurist—his work helps us imagine what might come next for higher ed and what steps we can take to navigate those challenges. I was very excited to have Bryan, who is also a senior scholar at Georgetown University, on the podcast this week. In his book, Bryan lays out many possible futures for higher education that build on this notion of peak higher ed. He's not trying to predict the future, but instead to describe the various shapes that future might take, and how other factors, like generative AI and climate change, might impact those shapes. He's not spitballing--he draws from deep research on trends within and outside the sector. The goal is to empower those in higher education to navigate the coming changes, as he says in the interview: "This is all about giving people options and giving people visions and possibilities that they can choose from so that people have agency, that their choices matter. I want to make sure that everybody listening to this feels that sense of agency." One thing I appreciate about Bryan's work is that it gives him a perspective on topics like generative AI in higher ed that's incredibly broad and nuanced. He can see how AI is many different things to many different people, and as a result, he avoids dogmatic takes on the topic. He understands the faculty who actively resist and refuse AI's role in their teaching and the faculty who are exploring and embracing it, and he doesn't tell you which group is right! Because he sees the complexity of the space. That's something I get from my work as a faculty developer, and it's refreshing to hear him describe that complexity using the tools of futurism. You can listen to my conversation with Bryan Alexander about the future of higher ed here, or search for "Intentional Teaching" in your favorite podcast app. The Norton Guide to AI-Aware TeachingMy new book, The Norton Guide to AI-Aware Teaching, co-authored with Annette Vee and Marc Watkins, is now available to pre-order! The ebook is expected to be available July 1st, and print copies are expected to start shipping on September 24th. Here's how you can get a copy:
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Welcome to the Intentional Teaching newsletter! I'm Derek Bruff, educator and author. The name of this newsletter is a reminder that we should be intentional in how we teach, but also in how we develop as teachers over time. I hope this newsletter will be a valuable part of your professional development as an educator.
How to Grade: Alternative Models for the College Classroom I have more book news to share! Y'all know I'm a co-author on The Norton Guide to AI-Aware Teaching coming out this summer. I had such a great experience writing that book with Annette Vee and Marc Watkins that when Emily Donahoe reached out to see if might be interested in collaborating with her on a new book about grading, I said most definitely. The book's working title is How to Grade: Alternative Models for the College Classroom,...
Resisting AI's Cognitive Offload with Leon Furze A few weeks ago, I interviewed author and consultant Leon Furze for Intentional Teaching. You may know Leon from his work on the AI Assessment Scale or his series of articles on teaching AI ethics. I've been citing his work for a while now, and I was eager to talk to him about several of his recent blog posts, especially this one and this one on ways we can support student use (and non-use) of AI to resist cognitive offloading. During our...
The Berkeley Law Red-Light AI Policy For months now, I've been looking for examples of program-level responses to generative AI at colleges and universities. Almost all the work I've seen adapting to the challenges and opportunities that AI poses to teaching in higher ed has been at the level of the individual course. That's a great place to practice AI-aware teaching, of course, but at some point, our students will need more coherent approaches to AI across the courses they take. Last week...