Teaching with AI

On this episode, Jeff and Michael tackle the question everyone is asking: how will AI transform higher ed? For help in finding the answer, they turn to bestselling author and professor of computer science at Georgetown University, Cal Newport. They discuss AI’s academic and operational implications, its ethical and practical considerations, and the stages and timeline over which we can expect this technological transformation to unfold. This episode is made with support from CollegeVine.

John Warner explores stressing pedagogical principles over AI promises on episode 536 of the Teaching in Higher Ed podcast

⿸ I just saved myself an hour and a half using ChatGPT to convert my rubric. 👩‍💻 A lot of teachers think that because AI chatbots are weird with math that… | 16 comments on LinkedIn

This resource offers small-scale and easy-to-implement ideas for adapting your course in the AI era. Learn more about setting your course approach to AI use, exploring AI with short activities, and promoting student learning whether or not students are using AI tools.

Preparing students for the future means thinking deeply about the questions new technologies raise.

One of the most powerful tools we have in curbing AI misuse and shaping its ethical adoption is also one we struggle with employing. Talking with students is harder now than it was before the pandemic. Talking with one another is likewise strained with increasing political tension. And, yet, the power of a persuasive conversation can be a far more powerful tool than any AI detector. Indeed, many of us forget as we’ve aged just how formative some of the earliest discussions we’ve had with teachers shaping how we learn. I’m willing to wager that a conversation has more power in shaping the trajectory of AI adoption among certain groups than any tech marketing.

Large Language Models like ChatGPT are praised as potential saviours or threats to education. While they promise personalised learning and assistance, their limitations are evident. Without a deep …

Jon Ippolito on a more critical framework for AI use (amongst other topics) on episode 524 of the Teaching in Higher Ed podcast

Inspired by a recent episode of the American Birding Podcast, this episode of Intentional Teaching features a

For all the hype about AI replacing teachers, the reality is that teachers are irreplaceable. It is a deeply human endeavor. The teachers who can leverage this human element through authentic learning will ultimately prepare

Leon Furze shares the myth of the AI first draft on episode 521 of the Teaching in Higher Ed podcast

As a former secondary English teacher, senior examination assessor, and lecturer for initial teacher education, I understand the allure of using Generative AI (GenAI) for grading student work. We&#…

This post is the fourth in the Beyond ChatGPT series about generative AI’s impact on learning. In the previous posts, I discussed how generative AI has moved beyond text generation and is starting to impact critical skills like reading, note-taking, and impact relationships by automating feedback. In this post, I’ll cover how the technology is marketed to students and educators to tutor students. The goal of this series is to explore AI beyond ChatGPT and consider how this emerging technology is transforming not simply writing, but many of the core skills we associate with learning. Educators must shift our discourse away from ChatGPT’s disruption of assessments and begin to grapple with what generative AI means for teaching and learning.

Why Teachers Can No Longer Stay Silent About AI

José Bowen shares about Teaching with AI on episode 518 of the Teaching in Higher Ed podcast

C. Edward Watson talks about thinking with and about AI on episode 517 of the Teaching in Higher Ed podcast

Job interviews can be anxiety-inducing for students. But with the help of generative AI, educators can guide them through a practice interview process in class to help reduce their angst and strengthen their employability. Here’s a 4-step process.

It's easy to get dismissive about educational theory. I've heard teachers say "Don't bother with the theory. Just focus on practical strategies." But when done well, theory can provide a roadmap and framework we can

Larry Ferlazzo and Katie Hull Sypnieski share some AI best practices for teachers.

Cognitive atrophy happens any time we lose the ability to engage in a mental process due to inactivity. In a world of Artificial Intelligence, we need to be cognizant of the dangers of cognitive atrophy

This post is the second in the Beyond ChatGPT series about generative AI’s impact on learning. In the previous post, I discussed how generative AI has moved beyond text generation into skills like reading. In this post, I’ll cover how the technology is marketed to students in new ways, promising to use a machine to take notes for you, automating lectures and transcription, and even synthesizing the content for a user. The goal of this series is to explore AI beyond ChatGPT and consider how this emerging technology is transforming not simply writing, but many of the skills we associate with learning. Educators must shift our discourse away from ChatGPT’s disruption of assessments and being to grapple with what generative AI means for teaching and learning.