AI Toolkit: Syllabus/Classroom

The following syllabus statement examples represent the range of options available to faculty when detailing to their students how they should interact with AI in their courses. The statements go from most restrictive to maximally permissive.

This resource is created by Lance Eaton for the purposes of sharing and helping other instructors see the range of policies available by other educators to help in the development of their own for navigating AI-Generative Tools (such as ChatGPT, MidJourney, Dall-E, etc). Very comprehensive and constantly growing list.

The first day of class is a great day to outline your AI classroom policy, here is a script on how to tackle that topic.

This resource document will offer suggested guiding principles (or philosophy in AI policy creation), sample syllabi language to address academic integrity as relating to AI, some suggested reading for algorithmic justice, and an initial glossary.

Scroll down to the Conversation Starters and Class Activities section for questions and exercises that can be utilized in the classroom.

Use this chart and provided questions to start a dialogue with your students on what would be considered cheating when using AI in the classroom.

Examples from APA, MLA, Chicago, and IEEE sites on how to cite AI. Includes instructions on how to share generated information.

This report proposes principles for determining when it is required to credit an artificial intelligence (AI) writer for its contributions to scholarly work.

A community collection of teaching reflections (with example assignments)

Demos seven different ways to use AI in classrooms:
AI-tutor, for increasing knowledge
AI-coach for increasing metacognition
AI-mentor to provide balanced, ongoing feedback
AI-teammate to increase collaborative intelligence
AI-tool for extending student performance
AI-simulator to help with practice
and AI-student to check for understanding