Generative AI in Teaching and Learning

The following resource provides some considerations and guidance around curriculum design in response to the ever-growing popularity of AI tools and Large Language Model (LLM) software. Please note that this resource is also ever-growing as we continue to learn more about LLMs and their uses and impacts on teaching and learning. Input and feedback are welcome! Before you choose whether you want to use or limit the use of Generative AI in your course, please review the information provided below about harms and biases. If Queen’s University instructors would like to share examples of how they have included activities or assessments using or mitigating the use of generative AI, please email us at ctl@queensu.ca.

An overview of policies and guidance on Generative AI within the context of classroom environments is provided by the Vice-Provost (Teaching and Learning): Summary of Generative AI Guidance in Preparation for 2023-34 Academic Year.

What is Generative AI?

What is Generative AI?

Bias, Harm & Privacy Concerns

Bias, Harm & Privacy Concerns

Considerations for your Course

Considerations for your Course

Assessments

Assessments

Academic Integrity

Academic Integrity

 lets others remix, tweak, and build upon our work non-commercially, as long as they credit us and indicate if changes were made. Use this citation format: Generative AI in Teaching and Learning. Centre for Teaching and Learning, Queen’s University