Generative AI Programming
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
This session gives a broad overview of the nature of Generative AI and implications of using AI for teaching and learning at the post-secondary level. We will start from considering values, then discuss the affordances and potential harms of Generative AI broadly and in education.
Description
The abundance of information (and misinformation) around Generative AI technologies can feel overwhelming. This session will introduce participants to the Domains of AI Awareness framework, designed to help instructors stay informed of key considerations for pedagogical decision-making related to generative AI technology. The domains include technical knowledge, skill, values, ethics, emotional intelligence, pedagogy, and interconnectedness, or understanding how AI use and development is rooted in larger sociopolitcal systems. Participants will be provided with opportunities to reflect on their own levels of awareness within each domain and resources will be shared to support knowledge building.
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Description
Generative 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 to explore practical ways of (re)establishing this culture in light of advances in Generative AI.
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Description
In this session, you will have the opportunity to reflect on your core values as an educator and explore how these values shape your pedagogical practices, including your response(s) to generative AI. You will be invited to consider how different values align or conflict with different uses of generative AI. Acknowledging that values can be in friction with each other and that generative AI is emergent, we will also co-construct strategies for aligning values and practice. This session will be of interest to any educator looking to better understand teaching as a values-based practice, particularly in light of conversations around generative AI in teaching and learning.
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.
SELF-PACED 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 using your UWO credentials, 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: Generative AI and Designing Activities and Assessments
This module provides guidance on how to redesign learning activities and assessments with deliberate consideration of the impact of generative AI on learning. We will discuss assessment practices, including authentic assessment and scaffolding, 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.
Module 4: Setting Course Policies for Generative AI Use
This module guides you through various considerations for how to determine acceptable use of AI in your courses and assessments. It will review key information from earlier modules. This module will also provide guidelines on how to write a Course Syllabus Statement for the acceptable use of generative AI in a way that promotes a culture of academic integrity.
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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