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DTSTART;TZID=America/Toronto:20260414T140000
DTEND;TZID=America/Toronto:20260414T150000
DTSTAMP:20260409T224759
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UID:10000183-1776175200-1776178800@edtech.engineering.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. \nFocus:
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. \nWhat to Expect:\n\nA comparison of the various approved generative AI tools at the University of Toronto.\nA walkthrough of the secure login process for accessing U of T–approved generative AI tools.\nLive demonstrations of key features across various generative AI platforms.\nOpen Q&A to address your questions\, concerns\, or ideas.\n\nDrop in anytime between 2:00 PM and 3:00 PM—stay for a few minutes or the full session! \nDon’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://edtech.engineering.utoronto.ca/event/getting-started-with-generative-ai-tools-at-u-of-t-7/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260416T130000
DTEND;TZID=America/Toronto:20260416T140000
DTSTAMP:20260409T224759
CREATED:20260325T145359Z
LAST-MODIFIED:20260325T145359Z
UID:10000184-1776344400-1776348000@edtech.engineering.utoronto.ca
SUMMARY:GenAI Reading Group: “AI Smart Glasses and the Future of Academic Integrity”
DESCRIPTION:Join us for our monthly reading group exploring generative AI in teaching and learning contexts. This is an informal discussion space for faculty\, staff\, and educational developers to engage with current research on GenAI in higher education. This event is hosted on the CTSI GenAI in Teaching and Learning Commons Teams Channel. \nThis Month’s Reading: \nEaton\, S. E.\, Kumar\, R.\, Dahal\, B.\, Tang\, G.\, Ramazanov\, F\, & Moya Figueroa\, B. A. (2026). AI Smart Glasses and the Future of Academic Integrity in a Postplagiarism Era. Canadian Perspectives on Academic Integrity\, 9(1)\, 1-5. \nThis article uses AI smart glasses as a case study to argue that wearable AI technologies expose the limits of detection-based academic integrity models\, which depend on observable evidence that these devices can bypass entirely. Rather than treating the glasses as cheating devices\, the authors advocate for a “postplagiarism” approach that redistributes responsibility across institutions\, educators\, and students – emphasizing assessment redesign\, accessibility protocols\, and transparent technology guidelines. Their core claim is that in a postplagiarism era\, the goal should be to create learning environments where using AI to cheat becomes pedagogically irrelevant. \nHow to Join: \n\nRead what you can of the article beforehand – no formal preparation required\nBring your thoughts\, questions\, and reactions – all perspectives and levels of GenAI experience welcome\n\nJoin the CTSI GenAI in Teaching and Learning Commons Teams Channel: Open Microsoft Teams → “Join or create a team” → “Join a team with a code” → Enter code: 5uztctq \nParticipants are welcome to join the Teams Channel to stay connected with future sessions and ongoing discussions about GenAI in teaching and learning.
URL:https://edtech.engineering.utoronto.ca/event/genai-reading-group-ai-smart-glasses-and-the-future-of-academic-integrity/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260420T103000
DTEND;TZID=America/Toronto:20260420T120000
DTSTAMP:20260409T224759
CREATED:20260313T192759Z
LAST-MODIFIED:20260313T192759Z
UID:10000175-1776681000-1776686400@edtech.engineering.utoronto.ca
SUMMARY:Introduction to Offline Gen AI
DESCRIPTION:About the Session\nThis technically-oriented session introduces offline Gen AI and highlights reasons one might choose it over commercial options like ChatGPT or Gemini. We will discuss the limitations of these offline options\, showcase applications to run models locally on your computer\, recommend local Gen AI models depending on the objective\, and examine pedagogical considerations. \nBy the end of this session\, participants will: \n\nUnderstand the advantages of using offline Gen AI versus commercial online options\nConsider the limitations of hardware and local models\nChoose local Gen AI models based on their specific objective\nIdentify applications used to run offline Gen AI\n\nRegistration Coming Soon\nThis session may be recorded\, archived\, and shared after the event. \nAbout the Facilitators\nDr. Elizabeth Childs is Professor and Program Head of the MA in Learning and Technology program in the School of Education and Technology at Royal Roads University. She holds a PhD in Educational Technology from the University of Calgary. Elizabeth is interested in the design\, creation\, and implementation of flexible learning environments incorporating the affordances of information and communication technology and provide learners with increased choice\, flexibility\, and opportunities. Dr. Childs’ research interests include open educational practices; creation of\, and engagement in\, online learning communities and digital habitats; design thinking and maker pedagogy; and models for training and professional development. \nHarper Friedman is a Coordinator of Open Education at BCcampus. With a background in computer science\, Harper is able to combine his technical knowledge with his experience in open education. Since the boom in Gen AI\, he has been exploring ways to harness this technology while staying aligned with values of accessibility\, equity\, environmentalism\, and agency.
URL:https://edtech.engineering.utoronto.ca/event/introduction-to-offline-gen-ai/
LOCATION:ON
CATEGORIES:BCCampus
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260420T143000
DTEND;TZID=America/Toronto:20260420T150000
DTSTAMP:20260409T224759
CREATED:20260325T145601Z
LAST-MODIFIED:20260325T145601Z
UID:10000185-1776695400-1776697200@edtech.engineering.utoronto.ca
SUMMARY:UDL Conversation with Caylen Heckel
DESCRIPTION:Caylen Heckel\, Assistant Professor\, Art History\, Department of Visual Studies\, University of Toronto Mississauga  \nUniversal Design for Learning (UDL) is an educational framework that leverages the values of accessibility and inclusion in designing accessible\, inclusive\, and usable methods\, materials\, and environments that reduce learning barriers and welcome learner variability. \nThe UDL Conversations Series highlights practices and considerations from U of T staff and instructors. Come chat with and learn from our community in fostering accessible and inclusive teaching and learning for all. \n 
URL:https://edtech.engineering.utoronto.ca/event/udl-conversation-with-caylen-heckel-2/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260421T121000
DTEND;TZID=America/Toronto:20260421T130000
DTSTAMP:20260409T224759
CREATED:20260325T145902Z
LAST-MODIFIED:20260325T145902Z
UID:10000186-1776773400-1776776400@edtech.engineering.utoronto.ca
SUMMARY:Building Trust Through Transparent AI Communication
DESCRIPTION:Facilitator: Victoria Sheldon\, Educational Developer\, Teaching\, Learning and Technology\, CTSI  \nAs AI tools become part of everyday practices\, clear communication about responsible AI use in your course becomes an important consideration. Grounded in the University of Toronto AI Task Force’s principles\, this session takes a pedagogy-driven approach to articulating AI expectations that build trust and transparency between instructors and students. \nIn this session\, you will explore how to: \n\nDevelop syllabus statements and assignment instructions that clearly communicate when\, why\, and how AI can (or cannot) be used\nAlign AI policies with your learning objectives while acknowledging the realities students face\nNavigate common questions and challenging conversations about AI use in your classroom\nCreate frameworks for ongoing dialogue rather than one-time policy statements\n\nThis session provides practical strategies for communicating AI expectations in ways that support student learning. Whether you are developing your AI communication approach or refining existing strategies\, we will explore how transparent communication about GenAI serves both pedagogical goals and student development\, helping learners build critical judgment about appropriate resource use.
URL:https://edtech.engineering.utoronto.ca/event/building-trust-through-transparent-ai-communication/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260422T140000
DTEND;TZID=America/Toronto:20260422T150000
DTSTAMP:20260409T224759
CREATED:20260325T150106Z
LAST-MODIFIED:20260325T150106Z
UID:10000187-1776866400-1776870000@edtech.engineering.utoronto.ca
SUMMARY:Building Trust Through Transparent AI Communication
DESCRIPTION:As AI tools become part of everyday practices\, teaching assistants play a crucial role in helping students understand and navigate responsible AI use. Whether you’re implementing AI policies developed by your course instructor or contributing to their creation\, clear communication about AI expectations becomes an essential part of your teaching practice. Grounded in the University of Toronto AI Task Force’s principles\, this session takes a pedagogy-driven approach to helping TAs and course instructors articulate and support AI expectations in ways that build trust and transparency with students. \nIn this session\, you will explore how to: \n\nCommunicate your course’s AI policies clearly and consistently across tutorials\, office hours\, and assignment feedback\nUnderstand how AI policies connect to learning objectives so you can explain the “why” behind expectations\nNavigate common student questions and challenging conversations about AI use\nSupport ongoing dialogue about AI through your interactions with students rather than one-time policy enforcement\n\nThis session provides teaching assistants and course instructors with practical strategies for communicating AI expectations in ways that support student learning. Whether you are developing your AI communication approach or refining existing strategies\, we will explore how transparent communication about GenAI serves both pedagogical goals and student development\, helping learners build critical judgment about appropriate resource use.
URL:https://edtech.engineering.utoronto.ca/event/building-trust-through-transparent-ai-communication-2/
LOCATION:ON
CATEGORIES:Teaching Assistants' Training Program
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260423T100000
DTEND;TZID=America/Toronto:20260423T130000
DTSTAMP:20260409T224759
CREATED:20260325T151135Z
LAST-MODIFIED:20260325T151255Z
UID:10000188-1776938400-1776949200@edtech.engineering.utoronto.ca
SUMMARY:Course Instructor Training Camp - April 2026 (Online)
DESCRIPTION:For the synchronous sessions\, participants are expected to be present online for the full duration of each session. \nPart 1: Asynchronous Modules \nThe asynchronous modules focus on many of the principle components of course design\, including learning outcomes\, assessments\, syllabus design\, and lecture planning. They additionally highlight how these components are informed by UDL (Universal Design for Learning) and Equity-Oriented Pedagogy. We also discuss policies and course administration details that are specific to the University of Toronto. The content covered in these modules is applicable to face-to-face\, hybrid\, and online learning contexts. \nUpon completion of the asynchronous modules\, you will be able to: \n\nList the fundamental principles of course design\nApply the principles of Universal Design for Learning to your course design\nCreate courses that reduce barriers to learning and foster an inclusive environment\nDevelop effective\, well-designed courses and lectures that engage your students\nDesign a learner-centered syllabus that fosters student resilience\nDescribe considerations for equity related to all aspects of course development\nOutline and implement University policies and administration concerning your course design and delivery\n\nPart 2: Online Workshops \n\nSyllabus Peer Review + Q & A: Participants will receive feedback on their course syllabus and provide feedback to one of their peers. This activity will help participants identify areas of strength and potential areas for improvement in their syllabus. For this reason\, we require participants to bring a draft of a syllabus – it does not have to be a finished or polished draft and can be for a course you have taught before\, a course you are about to teach\, or a course you would like to teach in the future. The first synchronous session will also include time for a question-and-answer period\, where participants are welcome to ask questions about concepts introduced in the asynchronous modules\, or other aspects of course design. The first synchronous session will be 1.5 hours long.\nEffective Practices for Engaging Lectures: This session focuses on how CIs can deliver engaging and equitable lectures. We explore three key areas\, including inclusive lecturing\, active learning\, and reflective practice. We will discuss strategies that are relevant in both face-to-face and online learning contexts\, and we will consider these strategies with accessibility and inclusivity in mind. The second synchronous session will be 1 hour long.\n\n Enrolment Information & Online Workshop Schedule \n\nAsynchronous Modules self enrolment link:\nOnline (synchronous) Workshops: Thursday\, April 23rd\, 2026:\n\n10:00am – 11:30am: Syllabus Peer Review + Q & A\n12:00 pm – 1:00pm: Effective Practices for Engaging Lectures
URL:https://edtech.engineering.utoronto.ca/event/course-instructor-training-camp-april-2026-online/
LOCATION:ON
CATEGORIES:Teaching Assistants' Training Program
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260423T110000
DTEND;TZID=America/Toronto:20260423T120000
DTSTAMP:20260409T224759
CREATED:20260325T155512Z
LAST-MODIFIED:20260325T155526Z
UID:10000192-1776942000-1776945600@edtech.engineering.utoronto.ca
SUMMARY:Rethinking Assessment in the Age of AI: Transforming Evaluation Practices with Human‑Centered Approaches
DESCRIPTION:Higher education is entering a pivotal moment in which traditional assessment models built for predictable\, instructor‑centered learning environments are being reshaped by artificial intelligence\, rapidly evolving learner behaviours and growing demands for authentic\, skills‑based evaluation. \nThis webinar invites educators\, academic leaders\, policymakers and instructional designers to critically examine how assessment can evolve to remain credible\, equitable and pedagogically meaningful. \nDrawing on his teaching experience across college\, polytechnic and university settings\, Humber Polytechnic Professor Redwan Siddiqui illustrates how AI is altering student decision‑making\, expectations of feedback and the cognitive processes underlying assessment tasks. The session integrates lessons on using generative AI for assessment redesign\, highlighting evidence‑based strategies to develop human‑centered evaluation frameworks. These include approaches that foreground transparency\, behavioural insight and authentic performance toward more resilient\, future‑ready designs. \nParticipants will explore how AI can strengthen rather than undermine academic assessment by enabling richer demonstrations of learning\, scalable evaluation practices\, and ethical\, learner‑centered assessment ecosystems. Ultimately\, the session reframes AI not as a threat to academic integrity\, but as an opportunity to redesign assessments that are more meaningful\, adaptive and aligned with the realities of today’s digital learning landscape. \nKey takeaways\nParticipants will be able to: \n\nIdentify emerging shifts in learner behaviour driven by AI tools\, and understand how these changes influence how students approach tasks\, feedback and evaluation.\nRecognize structural gaps in legacy assessment systems\, and understand why higher education requires new approaches that remain credible and meaningful in AI‑supported learning environments.\nApply cross‑sector assessment insights drawn from teaching in college\, polytechnic and university contexts\, illustrating how different institutional environments shape effective evaluation design for the diverse classrooms.\nExplore concrete assessment innovations informed by research on generative AI\, including methods that enhance authenticity\, transparency and meaningful performance measurement.\nDevelop a future ready perspective on human‑centered evaluation approaches that views AI not as a threat to academic integrity\, but as a catalyst for pedagogical transformation and higher quality evaluation systems.\n\nHost:\n\n\n\n\nRedwan Siddiqui\n\n\n\n\n\n\n\n\nProfessor of Supply Chain Management\, Humber Polytechnic\n\n\n\n\n\n\n\n\n\nRedwan Siddiqui is a Professor of Supply Chain Management at Humber Polytechnic and teaches in the Operations & Decision Sciences area at Wilfrid Laurier University. His research and teaching span applied artificial intelligence\, operations and supply chain management\, and decision‑making. An award‑winning educator who brings practical insights into designing assessments that promote integrity\, self regulation and deeper learning\, he has taught thousands of students and earned recognition for his commitment to high‑quality\, inclusive\, innovation‑driven instruction. He is currently pursuing his PhD at the University of Waterloo\, where his doctoral work explores behavioural decision‑making theories in the context of human–AI interactions. Before transitioning into academia\, Professor Siddiqui spent more than a decade advancing operational excellence for global brands across diverse industries. In addition to his academic and industry experience\, he is an active mentor with the Toronto Region Immigrant Employment Council\, supporting newcomer immigrants and early‑career professionals.\n\n\n\n\n  \n 
URL:https://edtech.engineering.utoronto.ca/event/rethinking-assessment-in-the-age-of-ai-transforming-evaluation-practices-with-human-centered-approaches/
LOCATION:ON
CATEGORIES:ContactNorthNord
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260424T121000
DTEND;TZID=America/Toronto:20260424T130000
DTSTAMP:20260409T224759
CREATED:20260325T153057Z
LAST-MODIFIED:20260325T153057Z
UID:10000189-1777032600-1777035600@edtech.engineering.utoronto.ca
SUMMARY:Reconciliation in Practice: A Learning Community for Faculty and Staff
DESCRIPTION:The Centre for Teaching Support & Innovation’s Reconciliation in Practice: A Learning Community for Faculty and Staff is a monthly professional learning series that offers a reflective and supportive space for faculty and staff who wish to engage more meaningfully with reconciliation in their teaching\, research\, service\, and daily practices. \nEach month\, participants are introduced to a concrete\, accessible strategy drawn from reconciliation-focused resources and scholarship. These strategies guide reflection and action\, encouraging participants to explore their roles\, responsibilities\, and relationships within the university context. \nSessions are designed to be accessible and action-oriented. Participants will explore themes such as learning Indigenous histories\, building respectful relationships\, challenging colonial habits\, and integrating reconciliation into their professional and personal lives. \nWhile all are welcome\, the series is especially supportive of non-Indigenous faculty and staff who are seeking to build understanding\, reflect with humility\, and take ongoing action in respectful and responsible ways. \nThis is a reflective\, supportive\, and non-judgmental space where members commit to learning with humility and taking responsibility for their part in reconciliation. \nLearning Outcomes\nBy participating in this community\, members will: \n\nEngage with reconciliation as an ongoing personal and professional practice grounded in Indigenous- and settler-informed perspectives.\nReflect critically and honestly on their roles and responsibilities within academic and institutional contexts.\nApply selected reconciliation strategies to their own contexts (e.g.\, teaching\, collaboration\, governance\, mentorship).\nBuild capacity for relational accountability\, humility\, and allyship in their work.\nParticipate in a community of practice that encourages sustained\, collective\, and evolving learning.\n\nCommunity Commitments\nThis community supports faculty and staff in approaching reconciliation as a long-term relational process\, not as a checklist. \nWe agree to approach this work with: \n\nHumility: recognizing what we don’t know and being open to discomfort\nAccountability: taking responsibility for our learning and action\nRespect: for Indigenous perspectives\, for one another\, and for the land\nReflection: not only on what we learn\, but how we carry it forward\n\nWe understand that reconciliation involves both inner work and outward change—in our classrooms\, committees\, collaborations\, and beyond. \nUpcoming Sessions\nThe Reconciliation in Practice community meets on the last Friday of the month from 12:10 pm to 1 pm. Upcoming 2025–26 dates include: \n\nSeptember 26\, 2025\nOctober 31\, 2025\nNovember 28\, 2025\nJanuary 30\, 2026\nFebruary 27\, 2026\nMarch 27\, 2026\nApril 24\, 2026
URL:https://edtech.engineering.utoronto.ca/event/reconciliation-in-practice-a-learning-community-for-faculty-and-staff-5/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260428T120000
DTEND;TZID=America/Toronto:20260428T130000
DTSTAMP:20260409T224759
CREATED:20260325T153305Z
LAST-MODIFIED:20260325T153305Z
UID:10000190-1777377600-1777381200@edtech.engineering.utoronto.ca
SUMMARY:Culturally Responsive Active Learning: From Exploration to Application
DESCRIPTION:Facilitator: Maher Elshakankiri\, Assistant Professor\, Teaching Stream and Director\, Bachelor of Information (BI) Program\, Faculty of Information  \nBuilding socio-intercultural inclusion into active learning can strengthen both engagement and rigour\, especially when students are guided from lived experience into disciplinary thinking. This session presents an ACUE-informed approach to designing inclusive in-class activities that begin with culturally grounded exploration and move through a structured learning cycle toward analysis\, creation\, and assessment-ready outcomes. A brief case example from an introductory programming course will illustrate how a simple\, familiar activity can surface diverse perspectives and support students in translating them into formal disciplinary work such as rules\, models\, arguments\, or design artifacts. \nThe session emphasizes a transferable design pattern grounded in ACUE practices: moving from exploration to formalization to application\, clarifying expectations through transparent criteria\, and using structured peer feedback to strengthen learning and equity. Common implementation challenges in diverse classrooms will be addressed\, including group dynamics\, participation norms\, and communication norms and constraints. The approach is framed for cross-disciplinary adaptation across teaching contexts\, class sizes\, and modalities. Participants will leave with adaptable prompts\, a peer-feedback checklist\, an implementation checklist for clarity and inclusion\, and a curated set of ACUE-aligned resources to support sustained use and evaluation. \nOur 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. \nSeries 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://edtech.engineering.utoronto.ca/event/culturally-responsive-active-learning-from-exploration-to-application/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260428T140000
DTEND;TZID=America/Toronto:20260428T150000
DTSTAMP:20260409T224759
CREATED:20260325T153452Z
LAST-MODIFIED:20260325T153452Z
UID:10000191-1777384800-1777388400@edtech.engineering.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. \nFocus:
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. \nWhat to Expect:\n\nA comparison of the various approved generative AI tools at the University of Toronto.\nA walkthrough of the secure login process for accessing U of T–approved generative AI tools.\nLive demonstrations of key features across various generative AI platforms.\nOpen Q&A to address your questions\, concerns\, or ideas.\n\nDrop in anytime between 2:00 PM and 3:00 PM—stay for a few minutes or the full session! \nDon’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. \n 
URL:https://edtech.engineering.utoronto.ca/event/getting-started-with-generative-ai-tools-at-u-of-t-8/
LOCATION:ON
CATEGORIES:CTSI
END:VEVENT
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