University at Buffalo (UB)
Empowering Instructors | Supporting Excellence
Faculty AI Teaching Exchange
Share What Works. Inspire What’s Next.
Help build a curated collection of practical AI teaching resources for the UB community.
Share an AI-enhanced assignment, activity, lesson, prompt, assessment, or other teaching resource that has supported student learning. The CATT team will review each submission for quality, relevance, and adaptability. Selected submissions will be edited and formatted into webpage-ready resources for the UB AI Repository, where faculty can discover, adapt, and apply them in their own teaching.
By sharing your teaching example, you can help colleagues:
- Explore practical ways to use AI in teaching and learning
- Adapt proven activities and assignments for their own courses
- Build student AI literacy and responsible-use practices
- Learn from the experiences of faculty across disciplines
- Save time by starting with an existing resource rather than creating one from scratch
We welcome a range of AI-enhanced teaching resources, including:
- Assignments
- In-class activities
- Lesson plans
- Discussion prompts
- Assessments
- AI prompts or prompt sequences
- Student instructions
- Rubrics
- Reflection activities
- Examples of responsible or ethical AI use
- Other classroom strategies or teaching resources
Submissions may be designed for in-person, hybrid, or online courses and may involve any discipline, course level, or class size.
Strong submissions clearly explain:
- What students are asked to do
- How AI is incorporated into the activity
- What students are expected to learn
- What another instructor would need to implement the resource
- What worked well, what challenges arose, or what you would recommend to colleagues
You do not need to submit a fully polished webpage. The CATT team will work with selected content to improve clarity, consistency, accessibility, and usability.
Complete the submission form below and provide a brief description of your resource. You may also upload supporting materials such as assignment instructions, prompts, rubrics, slides, handouts, or example outputs.
Once you submit the form, a member of the CATT team will be in touch within one week to discuss your resource and next steps.
The CATT team will review submissions for relevance, clarity, adaptability, accessibility, and alignment with effective teaching practices. Once you submit the form, a member of the CATT team will be in touch within one week to discuss your resource and next steps.
Submission does not guarantee publication. CATT may contact you with questions or request additional information.
Selected submissions may be edited, reorganized, or formatted into a consistent webpage format. Faculty contributors will be credited according to the preference selected on the submission form.
Published resources will become part of the UB AI Repository, where faculty can browse examples, download materials, and adapt ideas for their own teaching contexts.
Before You Submit
Please remove student names, grades, identifying information, and other protected or confidential information from uploaded materials.
Only submit materials that you have permission to share. If your resource includes third-party content, copyrighted materials, or student work, additional review may be required before publication.