These assignment design resources explore how generative AI can be ethically and effectively integrated into college-level teaching. Each link is accompanied by a short annotation highlighting what makes the resource distinctive—whether it offers discipline-specific examples, scaffolds AI use across the writing process, encourages transparency and reflection, or invites students to co-create their learning experiences. Together, these guides support instructors in crafting thoughtful, flexible, and pedagogically sound assignments in an evolving AI landscape.
| Resource Name | Description | Authors |
|---|---|---|
| AI Assignments: 10 Best Practices for Higher Ed Instructors | Recommends ten best practices for designing AI-integrated assignments, focusing on transparency, skill development, academic integrity, and meaningful human-AI collaboration in higher education. Each AI assignment suggestion is aligned with widely accepted teaching principles (e.g., inclusive teaching, formative assessment, and metacognition). | Tracey Allen, Association of College and University Educators |
| AI in Assignment Design | Highlights key considerations for AI-inclusive assignment design, inviting instructors to experiment with AI while maintaining academic integrity and instructional purpose. It supports iterative course design and adaptation based on context. | Center for Teaching Innovation, Cornell University |
| AI Teaching Strategies: Transparent Assignment Design | Advocates for transparent AI use in the classroom, offering strategies to help instructors set clear policies, model ethical engagement, and support student understanding of generative AI tools. | Ohio State Teaching & Learning Resource Center |
| Designing Assignments–Artificial Intelligence (AI) Toolkit | Encourages instructors to design AI-inclusive assignments that promote student self-awareness and reflection on tool use, offering a flexible, question-based framework to guide context-specific decisions rooted in pedagogical goals. | Center for New Designs in Learning and Scholarship, Georgetown University |
| LibGuides: HACC Faculty Guide to Artificial Intelligence–Assignments | Shares practical tips for crafting AI-aware assignments, including scaffolded support and ready-to-use prompt templates aligned with different stages of the writing process, along with suggestions for clarifying usage policies and encouraging student reflection. | Harrisburg Community College Library |
| Research Guides: Artificial Intelligence (AI) in Education: Class Assignments and AI | Features discipline-specific assignment examples and emphasizes AI’s role in formative learning processes like idea development and revision. Encourages instructors to frame AI as a collaborator or thinking partner to support critical engagement and reflective learning. | Carolyn Schubert, James Madison University Library |
| Suggestions for AI-Based Assignments and Activities | Suggests ways faculty can incorporate AI tools into writing instruction by aligning them with specific stages of the writing process—such as brainstorming, revising, and proofreading—with an emphasis on using AI to support learning and thoughtful revision rather than just generating final products. | Writing Across the Curriculum, Carleton College |
| Teaching Students to Navigate a World with AI | Describes the integration of generative AI into assignments and classroom activities, emphasizing reflective, values-driven experimentation that aligns with course goals and evolves in response to student needs and disciplinary context. Showcases real faculty practices from multiple disciplines. | Melody Warnick, Virginia Tech |
| Using Generative AI in Student Assignment[s] | Urges instructors to balance clear boundaries with space for student experimentation as they design assignments with AI. Includes side-by-side comparisons of AI-integrated and traditional assignments, and promotes student agency through open dialogue about process, authorship, and evolving expectations. | New School |
Last Updated on July 24, 2025