AI-Infused Curriculum Resources
Real templates, rubrics, courses, and guidance documents for embedding AI literacy into your courses, organized by discipline. Pulled from actual institutions and organizations already doing this work, not generic advice.
Computing & IT
Discipline trackFor computer science, data science, and IT programs adjusting to AI-assisted coding, agents, and “vibe coding” as a new way students build software.
Everything You Need to Start Vibe Coding (From Scratch) — a plain-language primer on AI-assisted coding, built from a talk given to high school students new to the idea.
AI Across the Curriculum Model
A working model for a faculty subcommittee that reviews existing computing courses and tags where AI-literacy competencies already show up, so you’re mapping onto real syllabi instead of starting blank.
Read the modelRubrics for AI-Enabled Engineering & Computing Assignments
Ready-to-adapt rubric templates that grade both technical competency and how appropriately a student used AI during ideation, debugging, or documentation.
Get the templatesElements of AI
A free, non-technical course explaining what AI actually is and isn’t. Assign specific modules as homework before your Tier 1 literacy discussion.
Start the courseExploring Student-AI Interactions in Vibe Coding
A study of how intro and advanced programming students actually behave when building software with AI tools, useful for setting realistic guardrails rather than guessing.
Read the studyBusiness
Discipline trackFor business, management, and finance faculty preparing graduates whose employers already expect AI fluency on day one.
How Does AI Impact Education? — Wharton’s Ethan Mollick and Vice Dean Eric Bradlow on where generative AI is actually changing business teaching.
Building Future-Ready Business Schools With Generative AI
A four-pathway model business schools are using right now to map generative AI into curriculum, faculty development, and institutional strategy.
Read the reportLinking Class Material to Jobs With Generative AI
A documented, three-part classroom exercise where students evaluate LLM outputs against real business tasks — copy the structure directly into a finance or marketing course.
See the exerciseAI for Business Professionals
A short course on using AI in marketing, communications, and operations, with hands-on prompt-writing practice you can assign between sessions.
Start the courseLeading the AI Transition
A six-pillar governance framework covering curriculum, faculty incentives, and assessment, plus a look at how Wharton’s shared prompt library lowers the risk of solo experimentation.
Read the guideHealth Sciences
Discipline trackFor nursing, allied health, and clinical programs weighing AI’s efficiency against patient-safety, privacy, and integrity concerns.
Elevating Education with AI: Practical Strategies for Nurse Educators — keeping faculty, not the tool, in the driver’s seat of clinical teaching decisions.
A Five-Tier Framework for AI Use in Nursing Coursework
A tiered model for calibrating exactly how much AI assistance is appropriate across different assignment types, instead of a single blanket policy.
Read the frameworkStudent Guidelines for Safe and Responsible Use of AI
A ready-to-adapt policy covering disclosure, protecting patient and peer information, and clinical-safety boundaries — attach it directly to any assignment.
View the guidelinesNursing Education, AI, and Best Practices
A practitioner-facing overview of spotting AI misuse and building formative, scaffolded assessments that make overreliance harder.
Read the articleAI Guidance
A short, faculty- and student-facing guidance page with a copy-ready AI-use disclosure statement you can drop straight into a syllabus.
Open the guidanceGeneral Education
Discipline trackFor writing, humanities, and gen-ed courses, where AI intersects most directly with a student’s own voice and thinking.
Designing Writing Assignments in the Age of Generative AI — Notre Dame’s University Writing Program on redesigning assignments rather than policing them.
AI Literacy Frameworks for Higher Education
A side-by-side comparison of the WCET, EDUCAUSE, Digital Promise, and UNESCO frameworks to help you pick the one that best fits your outcomes.
Compare the frameworksRubric Best Practices, Examples, and Templates
A step-by-step walkthrough for building a rubric, including how to use AI as a first draft and revise it, with sample rubrics at the end.
Get the templatesAI Basics for K-12 Teachers
A free course covering what generative AI is, safety and privacy considerations, and a reflection workbook to plan where AI fits your practice.
Start the courseGuidance for Generative AI in Education and Research
The foundational global policy guidance on human-centered, equitable AI adoption in education — useful context for any department-level policy conversation.
Read the guidance