Sessions and Workshops
Upcoming Sessions and Workshops
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Generative AI Virtual Drop In – Getting Started with Microsoft Copilot
Every second Tuesday until August 27th, 1pm-3pm
Join us for an interactive virtual drop-in for University of Toronto instructors and staff. This is your opportunity to get hands-on experience with Microsoft Copilot, a powerful generative AI model that has been approved for use by the University.
Focus: Our primary goal is to familiarize you with the process of logging into Copilot using protected mode, which means your privacy and data will be kept secure. You’ll also learn how to craft effective prompts to get the most out of Copilot’s capabilities.
What to Expect:
- A walkthrough of the protected mode login process.
- Tips on creating effective prompts to communicate with Copilot.
- A demonstration of Copilot’s features.
- Q&A to address any questions or concerns.
- Drop in anytime between 1 PM and 3 PM and stay for as little or as much time as you like.
Don’t miss this chance to explore how Microsoft Copilot can assist you in your daily tasks and teaching endeavours. We look forward to helping you harness the full potential of this innovative tool!
Getting Started with Generative AI for Research: Microsoft Copilot Hands-on Workshop
June 24, 1:30pm-3:30pm
The Centre for Research & Innovation Support, in collaboration with the Centre for Teaching Support & Innovation and the Academic, Research & Collaborative Technologies group, is hosting an in-person and interactive workshop on generative AI (GenAI) on Monday, June 24, from 1:30 pm to 3:00 pm. Presenters will explain how generative AI (GenAI) works and guide attendees through hands-on activities with Microsoft Copilot, a U of T approved GenAI tool.
The session will:
- Introduce participants to GenAI and how it can be used for research
- Introduce participants to the promise and pitfalls of GenAI applications
- Provide hands-on exercises with Microsoft Copilot tool to experiment with prompting strategies
- Invite participants to consider how GenAI can be used in responsible and productive ways for research
Learning Outcomes in the Age of Generative AI
July 31, 1pm-3pm (online)
The rapid advancement of generative AI is poised to fundamentally transform the landscape of education and the future of work. As AI systems demonstrate increasing capabilities in knowledge synthesis, creative problem-solving, and efficient task completion, university instructors may wish to consider critically examining and adapting their course outcomes to better prepare students for a world where human-AI collaboration is becoming increasingly prevalent.
In this forward-thinking workshop, we will explore the potentially profound implications of generative AI on the evolution of human expertise, and how this may impact educational priorities. Through interactive discussions and thought-provoking exercises, instructors will be challenged to envision the future of their respective disciplines and professions in light of these technological advancements. We will collectively reimagine course-level learning outcomes, emphasizing the knowledge and skills that will empower students to thrive in an AI-connected world. By embedding AI literacy into course design, students will be encouraged to use generative AI tools responsibly, in the classroom and beyond.
Join us in this timely and important conversation as we jointly envision the future of education in the age of generative AI.
View Past CTSI Workshops
From Panic to Possibility: Rethinking and Redesigning Assignments in the Wake of Generative AI
As an instructor, it is hard to read about the impact of generative AI on teaching and learning in higher education and not wonder how we are going to respond, especially when we are told that many of our students are already using it. This workshop will help move you from panic mode to problem-solving: in consultation with workshop leaders and faculty peers, you will get a chance to rethink and redesign one of your assignments with a focus on learning objectives, possibilities, and constraints in our new context.
View recording (December 11,2023)
Download Slides (December 11 2023)