Faculty Use


Generative AI can also be used to enhance and support teaching. Here are some of the many ways that instructors can incorporate generative AI tools into their teaching:

  • Write student learning objectives
  • Create syllabus outlines
  • Write syllabus policy statements, including about use of AI
  • Draft lesson plans and outlines
  • Write lecture notes and slides
  • Create graphics (e.g., tables, graphs, flow charts, and diagrams)
  • Generate responses to common student questions or emails
  • Create student feedback forms
  • Generate feedback comments to create a comment bank for assignments
  • Create test questions
  • Create multiple-choice question answer options
  • Write rubrics for grading
  • Write study materials for students
  • Generate FAQs with explanations for concepts
  • Develop classroom activities and exercises
  • Generate discussion prompts or questions for classes
  • Generate role playing scenarios and simulations
  • Create practice questions for quizzes or tests
  • Create sample problems
  • Create assignments
  • Write assignment instructions
  • Create step-by-step guides and checklists for student projects
  • Create examples for students to analyze and critique
  • Provide high-quality examples as models


Cornell University Center for Learning Innovation

Generative Artificial Intelligence

Cornell University Center for Teaching Innovation

Cornell University Committee Report: Generative Artificial Intelligence for Education and Pedagogy

University of Pittsburgh University Center for Teaching and Learning

Generative AI: Teaching with Generative AI

University of Southern California Center for Teaching Excellence

AI Tools for Course Design

Portland State University OAI+

Generative AI: A Teaching and Learning Primer

Mollick, E., and Mollick, L. (2023)

Student Use Cases for AI


Faculty can also use generative AI as an aid in their own research. For example, they can ask AI to help them do the following:

  • Summarize written material
  • Brainstorm ideas
  • Develop a work plan with a timeline
  • Develop and refine research questions
  • Create an outline
  • Critique a draft
  • Edit and proofread a draft
  • Create presentations


Several universities have developed recommendations and guidelines for Generative AI use in research. They specify acceptable and unacceptable applications and emphasize the need for transparency about its use as well as caution regarding its limitations. Concern cited involve accuracy or bias and issues involving authorship and intellectual property rights such as copyright and data privacy.


University of Michigan Institute for Data Science

Using Generative AI for Scientific Research

Brown University Help Center

Generative AI as a Research Tool

University of North Carolina Office of the Provost

Generative AI Usage Guidance

University of Kentucky ADVANCE

Recommendations on the Use of Generative AI in Research and Scholarly Activity