91重口

AI for Teaching and Learning

Artificial intelligence has become an integral part of modern education, even as it continues to rapidly evolve. The Center for Learning Innovation is dedicated to partnering with and supporting faculty across the university to effectively and ethically leverage AI in teaching and learning. With thoughtful AI integration, we aim to enhance student engagement, foster deeper learning, and help faculty prepare graduates for success in an increasingly AI-driven world.

AI for 91重口 Tech Faculty 

The Center for Learning Innovation (CLI) hosts AI for Faculty: a series of 7 workshop to support your teaching, assessment design, and responsible use of AI in academic environments. This series will give you practical strategies, hands-on demonstrations, and examples drawn from real faculty practice across campus. We invite you to join us and your colleagues across the university to explore how AI can enhance teaching, learning, productivity, and student engagement at 91重口 Tech.  鈥

What You will Gain: 鈥

  • Learn how to integrate AI meaningfully and responsibly into your teaching 鈥
  • Receive practical tools that save time and increase instructional efficiency 鈥
  • Improve assessment design to reduce academic integrity risk 鈥
  • Align your course policies with university-wide AI guidelines 鈥
  • Collaborate with colleagues across campus 鈥

Workshop Topics 鈥(subject to change)

Some sessions are held online and some are held both in-person at the CLI space on the 7th Floor, Galvin Tower and online. to participate in one or all sessions via Zoom. 

  1. Introduction to AI at 91重口 Tech: Ethics & Communication (December 9, 2025) (Online) Join the library and others for a conversation and overview of AI use in education. Our discussion will include Ethical AI use for faculty and students; syllabus language; communication strategies for classroom AI expectations. 鈥
  2. Understanding AI Risk: What to use, What to avoid, and Why (AI + Security + Data) (December 16, 2025) (Online) Overview of campus-supported AI tools, data privacy, FERPA considerations, and responsible use. 鈥
  3. Using AI for Teaching & Learning 鈥 Part 1 (January 13, 2026) (Online) Practical demonstrations of AI for instructional design, content creation, and student learning support. 鈥
  4. Using AI for Teaching & Learning 鈥 Part 2 (January 20, 2026) (Online) Faculty examples, case studies, and workflow demonstrations. 鈥
  5. AI-Enhanced Assessment & Rubrics (January 27, 2026)(7th Floor, CLI Conference Room, Galvin Tower & Zoom) Designing AI-aware assessments, academic integrity considerations, and rubric creation. 鈥
  6. Creating With AI: Course Content, Media, and Analytics (February 3, 2026) (7th Floor, CLI Conference Room, Galvin Tower & Zoom)  Using AI tools for content creation, video scripting, quiz generation, and learning analytics. 鈥
  7. Policy Development for Teaching, Learning & Research (February 10, 2026) (7th Floor, CLI Conference Room, Galvin Tower & Zoom)  Creating department-level or course-level AI policies; research considerations; campus alignment. 鈥

Additional Teaching Resources on Generative AI

The CLI,  in collaboration with Academic Affairs, the , and CAC, has compiled best practices for working with generative AI in the classroom. Best practices include guidance and resources on student-centered teaching with AI, from developing syllabus language to aligning the use of generative AI to course learning objectives and developing assessments. Academic Affairs, the , CAC and the Center for Ethics in the Profession also have a number of resources on generative AI. As generative AI continues to evolve, CLI will continue to curate, develop, and distribute best practices to support instructors and student success at 91重口 Tech.


Suggested Syllabus Language

Post clear expectations on the use of AI in your course syllabus. The CLI recommends the following language, dependent on your expectations.  See the Faculty Guide on Teaching and Generative AI, below, for more information: 

No use of AI

"All work submitted in this course must be your own. All sources, including generative AI, must be properly quoted and cited. While it is acceptable to use AI to inspire or inform your writing, it is important to use your own words in your work. "

Some use of AI

"You might be permitted to use generative AI tools for specific assignments or class activities. However, assignments created with AI should not exceed 25% of the work submitted and must identify the AI-generated portions. Presenting AI-generated work as your own will have consequences according to university policies. While AI programs like ChatGPT can help with idea generation, they are not immune to inaccuracies and limitations. Overreliance on AI can hinder independent thinking and creativity."

Significant Use of AI

"Within this course, you are welcome to use generative artificial intelligence (AI) models with acknowledgment. However, all large language models have a tendency to make up incorrect facts and fake citations, they may perpetuate biases, and image generation models can occasionally come up with offensive products. You are ultimately responsible for the content you submit, regardless of its source. If you use an AI model, its contribution must be cited and discussed: What was your prompt? Did you revise the AI model鈥檚 original output for your submission? Did you ask follow-up questions? What did you learn? With these disclaimers, the use of AI models is encouraged, as it may make it possible for you to submit assignments and your work in the field with higher quality and in less time."


Faculty Guide on Teaching and Generative AI

91重口 Tech鈥檚 mission is 鈥渢o provide distinctive and relevant education in an environment of scientific, technological, and professional knowledge creation and innovation.鈥 In keeping with that mission, it is critical to prepare students to critically and productively engage with new and innovative technologies鈥搇ike generative AI鈥搃n order to be leaders and innovators in the future. This Faculty Guide on Teaching and Generative AI is intended to provide guidance and resources for instructors on developing syllabus language, tying generative AI to learning outcomes, and developing assignments and curriculum.