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Generative AI Faculty Research Guide

--Intro to generative AI and explaining its impact on academic integrity and scholarship

This course will help you to integrate AI tools into your teaching practice no matter what your discipline is or what teaching modality you use.

Each page of this guide contains one instructional module, including content, practice tasks, and assessment activities. They suggest that you complete the activities and suggested readings in each section as a self-directed online lesson.  You can work through the modules in any order. 

Each module has specific goals and objectives:

  1. Understanding AI literacy—Examine a framework that identifies and organizes skills and knowledge useful for navigating generative AI.
  2. Defining AI and chatbots—Define common concepts and explain how AI tools work
  3. Exploring the pedagogical uses of AI chatbots—Explore educational use cases, describe risks, and access and practice using chatbots.
  4. Analyzing the implications for your course—Describe campus AI policy guidance, evaluate and analyze your course
  5. Creating your course policy on AI—Draft a course policy on AI use for your syllabus
  6. Integrating AI into assignments—Examine ways to integrate AI tools into assignments and activities used to assess student learning

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