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Generative AI Workshops
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.
What to Expect
Workshops will typically be scheduled for 60 to 120 minutes, allowing time for presentation, reflection, discussion, and hands-on application of key concepts. Every workshop is designed to allow flexibility in participation.
Upcoming Sessions
Introduction to Generative AI in Teaching and Learning
This session gives a broad overview of generative AI and implications of using AI for teaching and learning at the post-secondary level. We will start by considering values, then discuss the affordances and potential harms of generative AI broadly and in education. We will briefly review different uses of generative AI for both students and instructors.
October 21, 2026, 1:00-3:00 p.m. (online)
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 learning.
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 learning.
Generative AI Playground: Backwards Course Design with Generative AI
October 29, 2026, 9:30-11:30 a.m. (online)
Are you looking to integrate GenAI into your teaching without compromising pedagogical rigour? Are you curious about how you can use GenAI to design or redesign your course grounded in a pedagogical framework? This workshop provides a hands-on walkthrough on designing or redesigning a course using the Understanding by Design framework, supported by generative AI. Participants will be introduced to the AI DesignLab, a new open access human centered, AI-assisted course development platform developed by Western faculty. You bring your expertise, AI helps you build. During the session, we will move step by step through the key stages of backward design with AI assistance: defining learning goals, designing authentic assessments,; and creating aligned learning experiences. Attendees will leave the workshop with a functional course outline and full access to the AI DesignLab platform to continue their work.
Are you looking to integrate GenAI into your teaching without compromising pedagogical rigour? Are you curious about how you can use GenAI to design or redesign your course grounded in a pedagogical framework? This workshop provides a hands-on walkthrough on designing or redesigning a course using the Understanding by Design framework, supported by generative AI. Participants will be introduced to the AI DesignLab, a new open access human centered, AI-assisted course development platform developed by Western faculty. You bring your expertise, AI helps you build. During the session, we will move step by step through the key stages of backward design with AI assistance: defining learning goals, designing authentic assessments,; and creating aligned learning experiences. Attendees will leave the workshop with a functional course outline and full access to the AI DesignLab platform to continue their work.
Supporting Academic Integrity in Response to Generative AI
November 3, 2026, 10:30-11:30 a.m. (online)
Crafting a Generative AI Statement for Your SyllabusGenerative AI is having a significant impact on how we think about teaching and learning in higher education, particularly with regards to academic integrity and ethical use. In this session, we will discuss academic integrity through a values-based approach and explore practical ways of (re)establishing a culture of academic integrity in light of increased concerns around generative AI use.
November 23, 2026, 1:30-2:30 p.m. (online)
This session will offer guidance on how to write a generative AI syllabus statement rooted in the 6 values of academic integrity (honesty, trust, fairness, respect, responsibility, and courage). Participants will brainstorm components of a clear AI use course syllabus statement and review examples of course syllabi statements with various degrees of acceptable use of generative AI tools. Finally, there will be time for participants to draft and share their own AI course syllabus statement for a specific course.
This session will offer guidance on how to write a generative AI syllabus statement rooted in the 6 values of academic integrity (honesty, trust, fairness, respect, responsibility, and courage). Participants will brainstorm components of a clear AI use course syllabus statement and review examples of course syllabi statements with various degrees of acceptable use of generative AI tools. Finally, there will be time for participants to draft and share their own AI course syllabus statement for a specific course.
Audience
Western instructors, librarians, archivists, post doctoral scholars, and staff involved in teaching activities, course design, or supporting learners at Western.