This collection of resources supports faculty in understanding, integrating, and teaching with AI. Whether you’re just getting started or ready to redesign your courses, you’ll find frameworks, practical tools, and examples from institutions across the country. Resources are updated periodically—if you find something useful that should be included, let us know at jsucus@jsums.edu.
Find What You Need
I want to understand what AI can do → Getting Started
I need to write a course policy → Syllabus & Policy Language
I want to redesign assignments → Assignment Design
I’m worried about academic integrity → Academic Integrity
I want a credential or deeper training → Professional Development
I need something to share with students → Student-Facing Resources
Getting Started with AI in Teaching
New to AI or want a structured introduction? These resources provide foundational understanding without assuming technical background.
AI Pedagogy Project — Harvard metaLAB
The best starting point for faculty new to AI. Includes a step-by-step AI guide, curated assignments you can adapt, and resources organized by discipline. Designed specifically for humanities and non-technical fields but useful for everyone.
AI Literacy Framework — Stanford Teaching Commons
A four-domain framework (functional, critical, rhetorical, ethical) that helps faculty think systematically about what AI literacy means and how to develop it in themselves and students.
AI Literacy in Teaching and Learning — EDUCAUSE
Comprehensive framework with specific competencies for students, faculty, and staff. Useful for thinking about institutional approaches and program-level planning.
Syllabus & Policy Language
Need to articulate your expectations about AI use? These resources offer sample statements ranging from full prohibition to guided integration—adapt them to fit your course goals.
Crowdsourced AI Syllabus Policies — Lance Eaton
Over 170 real syllabus statements from faculty across disciplines and institutions. Searchable by field, approach (permissive to restrictive), and reuse rights. The most comprehensive collection available.
Sample AI Syllabus Statements — University of Washington
Clear template with key elements every AI policy should address: use, rationale, consequences, questions, and privacy. Includes statements for prohibition, encouragement, and everything in between.
Creating Your Course Policy on AI — Stanford Teaching Commons
Walks you through the thinking process for developing your own policy, with guiding questions and sample sentences you can combine and customize.
Sample Syllabus Language: AI Course Policies — University of Maryland
Practical examples organized by approach: “No AI tools,” “Master fundamentals first,” “AI for revision only,” and “Full AI permitted.” Each includes rationale language you can adapt.
Assignment Design
Ready to rethink assignments for an AI-enabled world? These resources offer strategies for both AI-integrated and AI-resistant design.
AI Pedagogy Project Assignments — Harvard metaLAB
Curated, adaptable assignments that integrate AI thoughtfully—from comparing AI-generated and human critiques to using AI for brainstorming with critical evaluation. Searchable by theme, subject, and skill.
AI in Assignment Design — Cornell Center for Teaching Innovation
Includes downloadable policy icons for assignments, guidance on designing for different AI-use scenarios, and strategies for communicating expectations clearly.
10 Best Practices for AI Assignments — ACUE
Practical guidance on connecting AI assignments to learning objectives, fostering AI as creative partner rather than shortcut, and designing for real-world application.
Academic Integrity
Concerned about AI and academic honesty? These resources offer strategies beyond detection—focusing on transparent policies, assignment design, and student dialogue.
Academic Integrity and Teaching With(out) AI — Harvard
Comprehensive guidance for both AI-integrated and AI-free approaches. Includes strategies like reflective AI-use journals, scaffolded assignments, and integrity pledges.
Maintaining Academic Integrity in the AI Era — University of Kansas
Frames AI as partner rather than villain, with practical approaches to ethical use, student reflective statements, and building trust alongside meaningful assignments.
Five Tips for Writing Academic Integrity Statements — Faculty Focus
The “3 W’s” model: What tools are allowed, When can they be used, and hoW must use be documented. Practical framework for creating clear, enforceable policies.
Professional Development & Credentials
Want structured training or a credential to demonstrate your expertise? These programs offer formal pathways for professional growth.
Teaching with AI Microcredential — EDUCAUSE
Two-week online program (5-6 hours) with live discussions. Covers AI integration, academic integrity, and assignment redesign. Completers earn a digital microcredential.
ISTE Educator Certification — ISTE
Competency-based certification focused on technology integration in teaching. Portfolio-based assessment aligned to ISTE Standards for Educators. Recognized nationally.
ISTE Standards for Educators — ISTE
Framework for digital-age teaching across seven roles: Learner, Leader, Citizen, Collaborator, Designer, Facilitator, and Analyst. Useful for self-assessment and goal-setting.
Reports & Research
Want to understand the bigger picture? These reports offer data on how institutions are responding to AI and where the field is heading.
2025 EDUCAUSE AI Landscape Study
Current data on AI strategy, policies, and use cases across higher education. Useful for benchmarking and understanding where your institution fits.
2025 Horizon Report: Teaching and Learning — EDUCAUSE
Annual forecast of key trends and emerging technologies shaping higher education. AI appears across multiple categories—useful for strategic planning.
Horizon Action Plan: Building Skills for Teaching with GenAI — EDUCAUSE
Expert panel’s vision for the future of GenAI in higher education with concrete action steps. Useful for departments and institutions developing AI strategies.
Student-Facing Resources
Looking for something to share with students? These resources are written for student audiences and can be linked in syllabi, Canvas, or orientation materials.
Student Guide to Artificial Intelligence — Elon University & AAC&U
The definitive student resource. Free, downloadable guide covering ethical AI use, academic integrity, career preparation, and building AI skills. Written from the student perspective with input from students at multiple universities. Available under Creative Commons license.
Academic Integrity and AI — Student Guide to AI
Student-focused explanation of why academic integrity matters with AI, how to cite AI tools, and how to avoid crossing the cheating “red line.” Direct, practical guidance students can actually use.
AI for Students — Grow with Google
Free training on using AI tools for studying, writing, and career exploration. Includes prompt-writing tips and guidance on responsible use. Students can earn a certificate.