Generative AI Resources

Generative AI Modules for Instructors

The Centre for Teaching and Learning has developed four self-paced learning modules to address the complexity of Generative AI in an accessible and practical way, providing both fundamental information and actionable ideas on how to approach Generative AI in your teaching and course policies.

The modules, which can be accessed in OWL, are designed to allow you to choose the topics that most interest you. It is not necessary to move through them in a specific order, though we recommend starting with Module 1 if you still have a lot of questions about what Generative AI is or how it works.

Module 1: Introduction to Generative AI

This module provides a basic overview of what Generative AI is, how it works, and the common applications of generative AI. It goes into specifics on Large Language Models (like ChatGPT), image generators, and the applications of Generative AI for coding.

Module 2: Academic Integrity and Ethics of Generative AI

This module discusses the concept of Academic Integrity in depth and invites you to reconsider what Academic Integrity means in relation to generative AI through a values-based approach. The second section in this module introduces key ethical considerations around the development and use of generative AI. This section also reviews practical case studies to reflect on some potential ethical situations you may encounter.

Module 3: Use Cases and Boundary Setting for Generative AI in Teaching and Learning

This module reviews the potential uses and limitations of generative AI for course design and educational contexts. It will guide you through the process of crafting a course syllabus statement on acceptable use for generative AI in your courses.

Coming soon! Module 4: Creating Activities and Assessments in A World with Generative AI

This module introduces key considerations for designing learning activities and assessments that consider the presence of generative AI in our world. We will discuss good assessment practices, such as Authentic Assessment, Scaffolding, and Backward design, that can help you design activities and assessments that either intentionally incorporate generative AI tools to support learning or discourage their use when it is not appropriate to use them.

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The Centre for Teaching and Learning recognizes that generative AI is a rapidly evolving field that will likely have a significant impact on educational practices. We will continue to develop resources and offer programming to ensure that our community of educators are equipped with the knowledge and skills to approach generative AI in an informed and ethical way.


Please reach out to the eLearning team if you have any questions or wish to discuss generative AI further by emailing

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