Explore curated collections of AI-integrated assignments submitted by educators across disciplines. These resources showcase practical, adaptable examples of how instructors are using generative AI in writing, STEM, and professional courses—emphasizing ethical engagement, critical thinking, and flexible implementation.
| Collection Name | Description | Authors & Organizations |
|---|---|---|
| 101 Creative Ideas to Use AI in Education: A Crowdsourced Collection | Offers a collection of 101 practical, classroom-tested ideas for teaching with generative AI, spanning activities for writing, discussion, analysis, and creativity. Designed to spark inspiration and adaptation across disciplines and teaching contexts. | Chrissi Nerantzi, Sandra Abegglen, Marianna Karatsiori, and Antonio Martínez-Arboleda |
| AI Assignment Library | Presents an open-access, cross-disciplinary library of instructor-submitted assignments that integrate generative AI into college teaching. Each entry includes context, learning goals, and implementation details, with a focus on ethical use, critical thinking, and flexible adaptation across course types. | University of North Dakota |
| AI Mini-Games for Peer Review | Introduces a set of AI-assisted peer review mini-games that replace traditional feedback methods with collaborative, interactive activities. Includes AI-Penned Dialogues, Character Depth Enhancer, Devil’s Advocate, Elevator Pitch, Sentence Surgery, and AI-Powered Mood Board. | Neeza Singh and Christopher McVey, Boston University |
| AI Workshop Prompts | Provides a categorized collection of AI prompts, from Teaching with AI: A Practical Guide to a New Era of Human Learning, designed to support instructors with course design, assignment creation, grading, and student engagement. | José Antonio Bowen |
| As a History Professor, This Is How I Use AI in Class | Shares a first-person account of how a history professor integrates generative AI into teaching, using it to model critical analysis, test source reliability, and foster deeper student engagement with historical thinking. | Sarah E. Bond |
| Assigning AI: Seven Ways of Using AI in Class | Outlines seven strategies for integrating AI into college teaching by assigning AI and students specific roles (e.g., Coach, Teammate, Tutor). | Ethan Mollick |
| Assignment Makeovers in the AI Age: Essay Edition | Redesigns college writing assignments in ways that address generative AI’s influence, helping instructors adapt essay tasks for authenticity and academic integrity. | Derek Bruff |
| Assignments from AI Pedagogy Project | Features a searchable, peer-reviewed collection of AI-integrated assignments submitted by educators across disciplines. Each entry includes learning goals, assignment details, and reflections on implementation, offering adaptable models for thoughtful AI use in the classroom. | metaLAB at Harvard |
| ChatGPT Assignments to Use in Your Classroom Today | Examines core AI concepts, ethical issues, and real-world applications with classroom-ready activities. | University of Central Florida |
| CRAFT: AI Literacy Resources | Offers resources from Stanford’s CRAFT project focused on creative and responsible AI use in education, including assignment ideas, sample syllabi, and frameworks for aligning AI integration with pedagogical goals and academic values. | Stanford University |
| Discipline-specific Generative AI Teaching and Learning Resources | Guides students through using generative AI for rhetorical analysis, including prompt design, critical evaluation, and reflection. Emphasizes metacognitive awareness and ethical engagement with AI-generated content. | University of Delaware Center for Teaching & Assessment of Learning |
| How to Learn and Teach Economics with Large Language Models, Including GPT | Highlights the potential of GPT tools to support economics teaching and learning through modeling, assessment design, idea generation, and writing support. Emphasizes new interaction strategies and offers practical guidance for effective classroom use. | Tyler Cowan and Alexander T. Tabarrok |
| Incorporating AI in Teaching: Practical Examples for Busy Instructors | Presents a categorized collection of AI-infused learning activities designed to help instructors experiment with generative AI in manageable, discipline-flexible ways. Covers eight areas—including text revision, role-play, critique, and instructional design—with detailed prompts, student tasks, and reflection questions that support ethical, critical, and creative engagement with AI. | Daniel Stanford |
| The Learning with AI Initiative | Offers a comprehensive faculty guide to teaching with generative AI, including assignment strategies, sample activities, syllabus policy templates, and links to workshops and tools. Encourages flexible, reflective integration of AI aligned with course goals and student learning. | University of Maine’s Center for Innovation in Teaching and Learning, and New Media major |
| Model AI Assignments | Compiles a peer-reviewed archive of creative, classroom-tested AI assignments designed for undergraduate education. Covers technical and ethical topics across subfields like machine learning, NLP, and game AI, with downloadable materials that support hands-on, interdisciplinary learning. | Association for the Advancement of Artificial Intelligence (AAAI) |
| Navigating the AI-Driven Writing Classroom | Provides a curated collection of resources for integrating generative AI into college writing instruction, including assignment guidelines, peer-review activities, and ethical frameworks. | University of Virginia’s Teaching Hub |
| Real or Fake Text? Game | Explains an interactive classroom activity where students guess whether short texts were written by a human or AI, promoting critical reading and AI literacy. Designed to spark discussion about writing quality, authorship, and rhetorical effectiveness, the tool is free, browser-based, and easy to integrate into writing or media literacy instruction. | Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, and Chris Callison-Burch |
| Research Guides: Artificial Intelligence (AI) in Education: Class Assignments and AI | Shares a comprehensive set of strategies for teaching with and around generative AI, including assignment ideas that emphasize process, creativity, and critical thinking. Addresses challenges with AI detection, provides guidance on citation practices, and encourages ethical, transparent classroom conversations about AI use. | Carolyn Schubert, James Madison University Library |
| Rethinking Your Problem Sets in the World of Generative AI | Introduces a practical framework for redesigning STEM problem sets in response to generative AI, with strategies for incorporating AI use, promoting critical evaluation of AI-generated responses, and reinforcing learning through reflection, quizzes, and in-class activities. Emphasizes equity, transparency, and thoughtful adaptation over restriction. | MIT Teaching + Learning Lab |
| Sample Activities | Lists adaptable classroom activities for teaching with AI, including prompts, discussions, and critical analysis tasks. Particularly useful for writing-intensive courses. | Teach@CUNY AI Toolkit |
| Teaching Programming in the Age of ChatGPT | Explores findings from interviews with programming instructors across nine countries on how they are adapting to AI coding tools like ChatGPT and GitHub Copilot. Highlights short-term efforts to discourage overreliance, alongside long-term strategies that either resist or embrace AI—such as designing AI-proof assessments, integrating AI into coding practice, and shifting focus to code reading, critique, and ethical engagement. | Sam Lau and Philip Guo |
| Teaching Writing Across the Curriculum with AI | Collects writing-across-the-curriculum (WAC)–focused strategies for teaching with generative AI, including adaptable assignments, usage policy templates, and guidance on integrating AI into discipline-based writing. Emphasizes writing as a learning process and offers a flexible framework ranging from restriction to co-creation. | Traci Gardner |
| TextGenEd: Teaching with Text Generation Technologies | Assembles a peer-reviewed collection of adaptable writing assignments that integrate text generation technologies like ChatGPT. Emphasizes critical and ethical engagement with AI, supports writing instruction across disciplines, and includes clear learning goals, implementation steps, and reflections for classroom use. | Annette Vee, Tim Laquintano, and Carly Schnitzler |
| Writing Assignments and Generative AI | Outlines practical guidance for college instructors on using generative AI in writing courses, with sample policies, assignment ideas, and strategies for fostering ethical use. | University of Virginia’s Teaching Hub |
Last Updated on July 25, 2025