AI

On the podcast today, I talk with four University of Virginia faculty who are serving this year as Faculty AI Guides. This provost-funded program has enlisted 51 faculty to explore potential uses of generative AI in their teaching and to share what they learn with colleagues in their departments and schools. Back in January, we invited the Faculty AI Guides to share assignments from their fall courses that thoughtfully integrated AI to support student learning. I put some of these assignments in a collection on the UVA Teaching Hub website (see the link below), and on this episode of the podcast, I talk with four of the Faculty AI Guides who contributed assignments.Kiera Allison is an assistant professor of management communication, Jamie Jirout is an associate professor of education, Spyros Simotas is an assistant professor of French, and Jun Wang is a lecturer in Chinese. In our conversation, the four Faculty AI Guides talk about their motivations for being in the program, what they have learned about AI and teaching through their experiments, how they respond to concerns about students outsourcing their learning to AI, and what’s next for their use of AI in teaching.Episode Resources·       Faculty AI Guides website·       “Integrating AI into Assignments to Support Student Learning,” UVA Teaching Hub·       “Red Lights, Green Lights, and AI-Integrated Assignments,” Derek Bruff, March 4, 2025·       AI Needs You: How We Can Change AI’s Future and Save Our Own, Verity Harding, Princeton University Press, 2024·       “How to Encourage Students to Write without AI,” Beth McMurtrie, Chronicle of Higher Education, February 13, 2025·       “AI Podcast 1.0: Rise of the Machines,” Planet Money, May 26, 2023·       “Comparing the Quality of Human and ChatGPT Feedback on Students’ Writing,” Jacob Steiss et al., Learning and Instruction, June 2024·       “Exquisite AI Corpse,” Maria Dikcis, AI Pedagogy Project

A formula for AI in companies

Students won’t be just competing against AI agents for jobs, they’ll also be competing against new graduates who know how to manage AI agents in the ways described. Who will get the job? :)

In “10 AI Tools Teachers Should Explore This Summer,” Kasey Bell shares must-try AI tools for K–12 educators, including MagicSchool, Brisk, Diffit, Curipod, ChatGPT, and more. Learn how to use artificial intelligence in education to streamline lesson planning, support student learning, and enhance engagement. This guide is ideal for teachers looking to explore AI in the classroom, experiment with educational technology, and build confidence teaching with AI.

When AI can do the tasks we call learning, how do we tell what’s real? Here's why only observable behavior can define and protect human learning.

Artificial Intelligence (AI) isn’t coming—it’s here. And as community college educators, we have a choice: we can either let AI be dictated to us by tech companies and administrative mandates, or we can step into our power, take ownership of the conversation, and shape how AI serves our students and

Discover how AI can help you explore careers, research companies, polish application materials, practice interviews, and negotiate salaries in today's job market

An edtech specialist cuts through the noise with five beginner-friendly AI tools teachers can start trying today.

We need to attack thoughtless ChatGPT use from the demand side.

Students are already using A.I. to learn and write. The education policy expert Rebecca Winthrop explores the big questions emerging for educators and parents.

Mike Perkins and Jasper Roe share a practical framework for ethical AI integration in assessment on episode 569 of the Teaching in Higher Ed podcast

Analogies are useful for understanding complex ideas, and there are plenty of complexities for educators trying to wrap their heads around ChatGPT. In this post, I’ll try to explain some of the features of the chatbot and the model it’s built on top of. I’m deliberately avoiding any kind of analogy that represents the AI […]

This post initiates a nine-article series revisiting the "Teaching AI Ethics" resources from 2023 exploring bias in GenAI.

There are many valid concerns about AI’s use of copyrighted material, writes Lance Eaton. But there is no merit in rejecting AI simply to re-legitimise the same inequities in the enforcement of copyright that led to piracy in the first place. A recent analysis by Alex Reisner shows that major AI companies have sourced training

Excellent for real-time collaboration and group work . . .

There is a deep disorder in the discourse of generative artificial intelligence (AI). When AI seems to make things up or distort reality — adding extra fingers

We are a non-profit creating more realistic and inclusive images of artificial intelligence. Visit our growing repository available for anyone to use for free under CC licences, or just to use as inspiration for more helpful and diverse representations of AI.

Generative AI (GenAI) has gained attention as a new feedback source in education because it can generate human-like text. However, its use in feedback lacks a strong pedagogical framework, which is...