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DTSTART;TZID=America/Toronto:20260507T133000
DTEND;TZID=America/Toronto:20260507T140000
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SUMMARY:GenAI Dialogue with Gabriel Eidelman: Promoting Transparent AI Use in a Professional Graduate Program
DESCRIPTION:Presenter: Gabriel Eidelman\, Associate Professor\, Teaching Stream\, Munk School of Global Affairs & Public Policy and Institute for Management & Innovation | Director\, Urban Policy Lab GenAI Dialogues are informal\, 30-minute online sessions where U of T instructors and staff share how they are navigating generative AI in their teaching and learning contexts. Building on discussions from the GenAI Reading Group (https://teaching.utoronto.ca/teaching-uoft-genai/genai-programming/#reading-group)\, each session features a colleague sharing their experience around a particular theme\, followed by open dialogue on what’s working\, what’s uncertain\, and what we’re considering next.In This Session: Professor Gabriel Eidelman will share how the principle of radical transparency has reshaped his approach to AI disclosure in the graduate classroom. He will share his thoughts on how students can take ownership of AI-assisted work\, with a focus on verification\, accountability\, and demonstrating responsibility for information: skills that are crucial in many future professional contexts.How to Participate: • Use the Teams Meeting link shared in your EVE registration to join• All levels of familiarity with and viewpoints on GenAI are welcome – feel free to bring your questions\, experiences\, and perspectives• To stay connected\, join the CTSI GenAI in Teaching and Learning Commons Teams Channel to hear about future sessions and ongoing discussions: Open Microsoft Teams → “Join or create a team” → “Join a team with a code” → Enter code: 5uztctq
URL:https://teachingdev.lamp4.utoronto.ca/event/genai-dialogue-with-gabriel-eidelman-promoting-transparent-ai-use-in-a-professional-graduate-program/
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DTSTART;TZID=America/Toronto:20260511T140000
DTEND;TZID=America/Toronto:20260511T160000
DTSTAMP:20260507T062318
CREATED:20260411T134804Z
LAST-MODIFIED:20260506T153354Z
UID:10009238-1778508000-1778515200@teachingdev.lamp4.utoronto.ca
SUMMARY:Online First Contract Training: All Disciplines
DESCRIPTION:
URL:https://teachingdev.lamp4.utoronto.ca/event/online-first-contract-training-all-disciplines-16/
CATEGORIES:Teaching Assistants' Training Program
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260512T140000
DTEND;TZID=America/Toronto:20260512T150000
DTSTAMP:20260507T062318
CREATED:20251231T172106Z
LAST-MODIFIED:20260319T233320Z
UID:10009197-1778594400-1778598000@teachingdev.lamp4.utoronto.ca
SUMMARY:Getting started with Generative AI Tools at U of T
DESCRIPTION:Join us for an interactive virtual drop-in session designed for University of Toronto instructors and staff. We will provide an overview of the approved generative AI tools at the University and give demonstrations which will provide you with the opportunity to get hands-on experience with the suite of approved tools.Focus:
Our primary goal is to familiarize you with how to access and use generative AI tools in a secure and responsible manner. We’ll guide you through logging in with privacy protections in place and compare the differences between the various technologies.What to Expect:• A comparison of the various approved generative AI tools at the University of Toronto.• A walkthrough of the secure login process for accessing U of T–approved generative AI tools.• Live demonstrations of key features across various generative AI platforms.• Open Q&A to address your questions\, concerns\, or ideas.Drop in anytime between 2:00 PM and 3:00 PM—stay for a few minutes or the full session!Don’t miss this chance to explore how approved generative AI tools can support your day-to-day work and enrich your teaching and research. We look forward to helping you confidently engage with these innovative tools.
URL:https://teachingdev.lamp4.utoronto.ca/event/getting-started-with-generative-ai-tools-at-u-of-t-15/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260521T110000
DTEND;TZID=America/Toronto:20260521T130000
DTSTAMP:20260507T062318
CREATED:20260421T140547Z
LAST-MODIFIED:20260506T153355Z
UID:10009239-1779361200-1779368400@teachingdev.lamp4.utoronto.ca
SUMMARY:Online First Contract Training: All Disciplines
DESCRIPTION:
URL:https://teachingdev.lamp4.utoronto.ca/event/online-first-contract-training-all-disciplines-17/
CATEGORIES:Teaching Assistants' Training Program
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260526T140000
DTEND;TZID=America/Toronto:20260526T150000
DTSTAMP:20260507T062318
CREATED:20251231T172106Z
LAST-MODIFIED:20260319T233320Z
UID:10009198-1779804000-1779807600@teachingdev.lamp4.utoronto.ca
SUMMARY:Getting started with Generative AI Tools at U of T
DESCRIPTION:Join us for an interactive virtual drop-in session designed for University of Toronto instructors and staff. We will provide an overview of the approved generative AI tools at the University and give demonstrations which will provide you with the opportunity to get hands-on experience with the suite of approved tools.Focus:
Our primary goal is to familiarize you with how to access and use generative AI tools in a secure and responsible manner. We’ll guide you through logging in with privacy protections in place and compare the differences between the various technologies.What to Expect:• A comparison of the various approved generative AI tools at the University of Toronto.• A walkthrough of the secure login process for accessing U of T–approved generative AI tools.• Live demonstrations of key features across various generative AI platforms.• Open Q&A to address your questions\, concerns\, or ideas.Drop in anytime between 2:00 PM and 3:00 PM—stay for a few minutes or the full session!Don’t miss this chance to explore how approved generative AI tools can support your day-to-day work and enrich your teaching and research. We look forward to helping you confidently engage with these innovative tools.
URL:https://teachingdev.lamp4.utoronto.ca/event/getting-started-with-generative-ai-tools-at-u-of-t-16/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260528T113000
DTEND;TZID=America/Toronto:20260528T120000
DTSTAMP:20260507T062318
CREATED:20260113T173623Z
LAST-MODIFIED:20260319T233320Z
UID:10009204-1779967800-1779969600@teachingdev.lamp4.utoronto.ca
SUMMARY:UDL Express: MOVE into Accessibility: Meaning
DESCRIPTION:Looking for simple\, high-impact ways to make your course materials more accessible and welcoming? Join us for UDL Express: MOVE into Accessibility\, a hands-on summer webinar series designed to support small\, meaningful improvements in digital course content. This four-part series introduces the MOVE framework—Meaning\, Organization\, Versatility\, and Engagement—as a set of purpose-first design checks that help reduce common barriers to learning. Rather than focusing on tools alone\, MOVE invites instructors to reflect on design intent and make one practical improvement to their course materials that can be applied immediately. Each 30-minute session focuses on one element of the MOVE framework\, with examples drawn from Word documents\, PowerPoint slides\, and Quercus course spaces. Sessions combine brief demonstrations with guided time to work on participants’ own materials\, so you leave having made a real accessibility improvement—not just with ideas for later. Whether you’re revising a course syllabus\, refreshing lecture slides\, or preparing Quercus materials\, this series offers approachable strategies that support accessibility and inclusion for a wide range of learners. Session Schedule and Topics • Meaning: Make intent clear. Focus on clarity and purpose through descriptive links\, meaningful alt text\, plain language\, and captions or transcripts that add context. (Thursday\, May 28\, 11:30 am to 12 pm)• Organization: Make the structure obvious. Use built-in heading styles\, chunking\, true lists\, and clear page or module overviews to support navigation and comprehension. (Thursday\, June 11\, 11:30 am to 12 pm (https://ctsi.eve.utoronto.ca/home/events/6507))• Versatility: Make materials work across contexts. Check contrast\, captions\, file formats\, and mobile usability so course materials function well across devices\, tools\, and learning environments. (Thursday\, June 25\, 11:30 am to 12 pm (https://ctsi.eve.utoronto.ca/home/events/6508)) • Engagement: Make learning welcoming and motivating. Incorporate inclusive examples\, small choices\, and brief reflection prompts that invite participation and support learner connection. (Thursday\, July 9\, 11:30 am to 12 pm (https://ctsi.eve.utoronto.ca/home/events/6509)) Learning Outcomes By the end of this series\, participants will be able to: • Identify four key design checks for accessible and inclusive course materials using the MOVE framework. • Apply quick\, high-impact improvements to digital content in Word\, PowerPoint\, and Quercus. • Make purposeful design decisions in course materials that reduce barriers and support learner engagement. 
URL:https://teachingdev.lamp4.utoronto.ca/event/udl-express-move-into-accessibility-meaning/
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260529T120000
DTEND;TZID=America/Toronto:20260529T130000
DTSTAMP:20260507T062318
CREATED:20260303T223316Z
LAST-MODIFIED:20260319T233320Z
UID:10009232-1780056000-1780059600@teachingdev.lamp4.utoronto.ca
SUMMARY:Making Course Improvement Visible: Student Feedback & Documenting Instructor Growth
DESCRIPTION:Facilitator: Haley Zubyk\, Assistant Professor\, Teaching Stream\, Human Biology ProgramEnd-of-term course evaluations are valuable\, but they often arrive too late to support the students currently in your classroom\, and they rarely provide the kind of specific\, actionable insight that helps you refine course design in real time. In large classes\, especially\, it can be difficult to hear from a broad range of student voices and to translate feedback into changes that are both feasible and transparent.This session will focus on practical\, scalable approaches for gathering student feedback throughout the term to improve both your course and the student experience. Topics will include designing effective mid-course feedback (what to ask and how to implement it)\, using student advisory boards to better understand student needs\, and collecting structured student reflections on how learning outcomes were achieved (or not) and how course elements like assessments and tutorials supported learning. We’ll also explore “class reaction” surveys that can be deployed quickly to check clarity of expectations\, support new activities\, and identify confusion before it becomes frustration.Participants will leave with a set of ready-to-use strategies for collecting feedback in ways that build trust and transparency\, along with guidance on how to document and use this feedback for professional development. We’ll discuss how these data and insights can support reflective teaching practice\, inform iterative course improvements\, and provide additional sources of concrete evidence for teaching dossiers\, awards\, PTR\, and other demonstrations of teaching effectiveness.Our faculty facilitators in this lunch series have completed 25 modules and earned the Certificate in Effective University Instruction offered by the Association of College and University Educators (ACUE) in partnership with CTSI. Learn more about the ACUE Lunch and Learn Series (https://teaching.utoronto.ca/acue-lunch-and-learn/).    Series Description: Join U of T faculty graduates of the Association of College and University Educators (ACUE) Effective Teaching Practices course (ACUE-Certified Faculty) as they share insights from the 25 modules they completed over several months. They implemented\, reimagined\, and extended evidence-based teaching practices to support their teaching\, learning and student success at U of T. This Series invites participants to hear from these instructors: their reflections upon what they have learned\, and practical examples and tips informed by evidence-based strategies. Facilitators will engage in discussions on sharing these approaches into one’s current practice.  
URL:https://teachingdev.lamp4.utoronto.ca/event/making-course-improvement-visible-student-feedback-documenting-instructor-growth/
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