Generative AI Resources
The Centre for Teaching and Learning's series of workshops on Generative AI topics are designed to meet a wide variety of instructor needs. These workshops cover everything from the basics of generative AI technologies to critical reflection on the impact of Generative AI in education, to innovative applications that can enhance teaching and learning.
You might also be interested in the Gen AI Community of Practice.
GenAI Challenge
The GenAI challenge is an opportunity to explore difference facets of Generative AI through the diverse perpsectives of the Western Community. The challenge consists of weekly posts run throughout each semester.
Click here to access the challenge posts and find out more
Faculty-Student Collaborative on Reimagining Assessment in Response to Generative AI
Generative AI has raised a number of concerns around traditional and historic assessment practices, creating an opportunity for educators to reimagine assessment. This Faculty-Student Collaborative will bring together select faculty members and students from diverse disciplines to discuss the impact Generative AI has had on their assessments, and to explore alternative approaches. Space is very limited: apply by October 1!
Upcoming interactive Workshops
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Description
Generative AI technologies have created an opportunity for educators re-examine our assessment practices and to deeply consider what is and is not working in longstanding approaches to assessment. This workshop invites instructors to (re)visit the fundamental purpose(s) of assessment. We will start by discussing different types and approaches to assessment and explore the hidden curriculum of assessment. We will then discuss concerns that generative AI technologies have raised about assessment design and review different assessment frameworks that have emerged in response to generative AI technologies. We will also explore approaches to assessment that may offer inspiration for reimagining and redesigning assessments to be more impactful, meaningful, and student-centred.
Description
This session will provide a hands-on exploration of how large language models can be used to generate dynamic, branching narratives that adapt to students’ unique decisions in real time. These models can power sophisticated role-playing simulations—such as historical debates, clinical patient intake, or crisis negotiations—where students interact with AI-driven characters that provide nuanced, context-aware responses. By acting as a ‘procedural engine,’ LLMs lower the technical barrier for instructors to create immersive, high-stakes environments that foster critical thinking and professional skill retention. Ultimately, these simulations provide a scalable way for students to bridge the gap between theoretical knowledge and practical, real-world application.
These simulations teach information literacy by requiring students to verify AI-generated claims against authoritative sources. Simultaneously, they build simulation literacy as students learn to navigate the underlying mechanics, constraints, and rules of the game that govern the AI’s behaviour. This session will be of interest to anyone wanting to explore the possibilities of AI-supported play in their courses regardless of discipline.
How to Register for an Upcoming eLearning Event in Western Connect:
Registration Instructions
Audience
Limited to instructors
- Login to Western Connect using your Western username and password.
- Go to the Centre for Teaching and Learning section. Select Event Calendar and select the event you wish to register in. Details and a description of the program will appear.
- Select the Register for this Event button. If the event has reached capacity, you may have the option to register on the waitlist.
- You will receive an automated confirmation email to your Western email account.
If you have any questions or problems registering for an event, please consult our FAQs or contact ctl@uwo.ca.
Domains of AI Awareness Resource
The Domains of AI Awareness resource offers a foundation for exploring generative AI across 7 key domains:
- Knowledge: what Generative AI is, how it’s trained, and how it functions
- Ethics: the broader ethical issues of the development and use of Generative AI technologies
- Skill: how to use Generative AI tools and to critically evaluate their output
- Pedagogy: Generative AI’s potential impact on learning and teaching and being able to make informed decisions about its use in education
- Values: how Generative AI use aligns or contradicts individual and collective values, including academic integrity
- Affect: being able to engage in meaningful discussion with others about Generative AI while understanding and being able to navigate your own and others’ emotional response to Generative AI
- Interconnectedness: how AI technologies and AI practice are situated within complex institutional and social structures that impact development, technologies, and social practices
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Crafting a Generative AI Statement for Your Syllabus Resource
The purpose of a clear course outline statement on GenAI is to remove uncertainty or ambiguity around appropriate use for your course. This worksheet will support you in reflecting on the values of GenAI and academic integrity in your course, introduce you to key principles of an effective GenAI course outline statement and guide you through drafting a course outline statement for your own course:
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- GenAI Syllabus Statements Syllabus
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.
Questions?
Please reach out to the eLearning team if you have any questions or wish to discuss Generative AI further by emailing ctl@uwo.ca.
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- GenAI Syllabus Statements Syllabus
