AI assignment examples

💥NEW AI ASSIGNMENT💥 "If you want students to think critically about LLMs, give them proof that models don’t agree." 🤦 Last semester, students arrived to my class unaware that AI could ever be wrong or biased. 🤦 This fall, my first-year composition students will do just that. They’ll start by free-writing on a controversial issue of their choice, capturing their thinking before AI enters the picture. Then, they’ll ask for a clear solution to that issue from at least five different LLMs, each time requesting a direct, evidence-based response. Their job: compare the outputs. What’s amplified? What’s left out? How does each model frame the issue? And what do those rhetorical moves reveal about the priorities, politics, & blind spots of the companies that built them?  They’ll end by reflecting on two things: how the differences shaped or complicated their own stance, and what this tells them about the nature of LLMs.  🤔 Here’s a preview from my prep. I asked five LLMs the same question: 📱“Should schools ban smartphones during the day?”📱 *ChatGPT: NO, nuanced argument that balancing attention research with legal accommodations & equity *Gemini: MIDDLING: exploring both counterarguments *Grok: 100% YES: grounded in cognitive load & international precedents *Perplexity: STRONG YES: citing global policy trends & mental health *Claude: GENTLE YES: focusing on attention science & social skills Same prompt. Same request for directness. Entirely different rhetorical moves. That’s where the learning happens. #AIinEducation #EthicalAI #TeachingWithAI #CriticalThinking #AIandBias #HigherEdTeaching #DigitalLiteracy #AIforLearning #LLMComparison #AIinTheClassroom | 96 comments on LinkedIn

With generative AI making its way into all manner of domains, educators have a role to play in teaching students how to use AI effectively and ethically, as ...

What happens after the prompt? Question AI-generated text using Socratic methods and infuse moments of AI-free critique into evaluative writing.

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

When it comes to artificial intelligence in education , I like to consider myself an optimistic realist.  I see the positives and I see the ...

Some thoughts on accountable writing and critical thinking

Unlocking Human-AI Potential 10 Best Practices for AI Assignments in Higher Ed In the early days of December 2022, late one night, under the cover of darkness, I eagerly typed “ChatGPT” into my Google search bar. I nervously and excitedly entered the world of AI, similar to when I walked into a candy store as […]

I am an educational developer, so I often need to help people think through how they’re going to respond to the advent of ChatGPT and the like. I myself don’t teach writing, and I think…

AI text generators/large language models like ChatGPT often produce plausible-sounding text. Browsing these phrases may help students identify and critique problems with bias, accuracy, relevance, …

I’ve been doing a lot of thinking about “assignment makeovers” in this new age of AI, and a key part of rethinking assignments is exploring what we and our students can do with AI technologies in our fields.To help in those explorations, I reached...

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Derek Bruff shares about assignment makeovers in the AI age on episode 481 of the Teaching in Higher Ed podcast

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The ethical use of AI tools (including ChatGPT, PhotoMath, Grammarly, Bing, and more) is not an “all or nothing” discussion with your…

Free Technology for Teachers

Fall is going to be very different this year. Educators need to be ready.

Tarrant County College - Connect Campus AI Student Activity Examples Brainstorm Activity Discipline: English Literature Assign a specific literary theme or genre to each group (e.g., romance, dystopia, coming-of-age). Instruct students to use an AI tool to generate a list of unique and intriguin...

Tarrant County College - Connect Campus AI Student Activity Examples Brainstorm Activity Discipline: English Literature Assign a specific literary theme or genre to each group (e.g., romance, dystopia, coming-of-age). Instruct students to use an AI tool to generate a list of unique and intriguin...