Helping Students "Do the Reading"Several years ago, I interviewed Jenae Cohn for my old podcast about her book Skim, Dive, Surface: Teaching Digital Reading. I remember Jenae sharing how the kind of reading skills she developed as an undergraduate student didn't always serve her well in graduate school. As an English major, she had time to read the novels and other books she was assigned quite closely, but as an English doctoral student, she had way too many books to read to practice that kind of close reading. She had to learn new ways to read to keep up with the volume of reading she was assigned as a graduate student. Jenae's story came to mind recently when I interviewed St. Ambrose University philosophy professor Jessa Roisen for my current podcast. Jessa teaches intro to philosophy courses with challenging primary readings--Plato and Kant and the like. In her interview, she shared how her students really struggled with those readings. They might be able to identify key passages in a reading, but they often had a hard time explaining those passages during class discussion. Whatever academic reading skills Jessa's students had developed prior to college, they weren't up to the task of the readings that Jessa assigned. Watching her students struggle to "do the reading" has motivated Jessa to change her approach to teaching these courses. Jessa now provides a lot of support and scaffolding for her students and their reading, especially before class. She uses the Top Hat platform to break the readings into smaller pieces and to embed questions throughout the reading. These questions help students make sense of the reading as they're engaging with it, and they provide insight to Jessa about her students' perspectives on the texts. She no longer hopes students can "do the reading" before class--she teaches them how to read the kinds of texts she assigns. This week on the podcast, I talk with Jessa Roisen and with Donna Battista, managing director for learning solutions at Top Hat. Donna partners with educators across higher ed, helping them use the Top Hat platform to address the teaching challenges they face. In this week's episode, which was produced in partnership with Top Hat, Donna and Jessa share their perspectives on the challenging of teaching students to read hard things, offering responses to that challenges that are both philosophical and practical. You can listen to my conversation with Jessa Roisen and Donna Battista here, or search for "Intentional Teaching" in your podcast app. It's time to move past the notion of AI as an answer machine.Sometimes you just need to get 1700 words off your chest. I spent last Friday morning writing a blog post titled "It's time to move past the notion of AI as an answer machine." The post was inspired by a conversation with Leon Furze for an upcoming podcast episode. I've been in many conversations over the last few years about the metaphors we use to describe generative AI, but Leon used the term mental model instead of metaphor, which activated all the How People Learn parts of my brain. I started connecting a lot of dots, from the recent study "Artificial Intelligence, Cognitive Offloading and the Implications for Education" by Jason Lodge and Leslie Loble to a recent post by Mike Caulfield to my very first Intentional Teaching podcast episode on AI which featured a conversation with Robert Cummings recorded before ChatGPT was released in late 2022. Here's the last paragraph of my 1700 word post: "Many students and, indeed, many educators still see generative AI as that Google-like answer machine, leading to the detrimental cognitive offloading we’re all worried about. Our job as educators is to move past that mental model to understand other ways of thinking about and working with AI that can actually support learning, and then helping our students do the same." You can read the rest of the post here. 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.
A Coherent Program-Level Response to AI Two weeks ago in the newsletter, I shared some data from this summer's Inside Higher Ed student survey on the ways students find generative AI helpful in their learning. Today, I want to point to more data from that survey, this time about institutional responses to AI. When asked how well their colleges and universities are responding to AI and helping students navigate what AI means for their futures, just 37% of students said that their institutions...
I'm happy to share that the ebook version of The Norton Guide to AI-Aware Teaching is now available! Visit your favorite online retailer to purchase a copy, and if you don't have a favorite, see Norton's listing for the book for options. The paperback version is still on track for a late September release, but you can dive into the digital version of the book right now. It is packed with ideas and inspiration for teaching with, without, and about generative AI, and my co-authors Annette Vee...
The Future of AI-Aware Teaching My Norton Guide to AI-Aware Teaching co-authors Annette Vee and Marc Watkins and I had the good fortune to be guests on Bryan Alexander's Future Trends Forum the other week. If you missed the live show, the recording is now available on Bryan's YouTube channel. That recording doesn't include the text chat--which was a firehose!--but you'll get to hear us weigh in on What we mean by "AI-aware" teaching, AI as an arrival technology (that is, it just showed up...