Fall 2024 Instructor Programming
Generative AI Lunch and Learn Series
Facilitated by: Rob Huang, Educational Developer, Instructional Practices and Student Engagement, RGASC
This lunch and learn series will explore various Generative AI tools in higher education through the lens of the STRIVE (Student-centeredness, Transparency, Responsibility, Integrity, Validity, and Equity) model.
Designed for instructors at varying levels of comfort and experience, each of the six 30-minute sessions will demonstrate potential ways of incorporating a Generative AI tool into our teaching and learning practice, as well as build our collective pedagogical literacy in AI.
Each session will consist of the following format:
- Introduction to the featured AI tool (5 minutes)
- Demonstration of the tool's application in education (10 minutes)
- Discussion of the tool through the STRIVE framework lens (10 minutes)
- Q&A and wrap-up (5 minutes)
Six sessions will be offered, with the first three taking place in the Fall term. There will be both online and on campus sessions. Please see full list of Fall sessions below, including registration information.
Session 2: “Claude”
Thursday October 24th from 12:00pm-12:30pm (Online via Zoom).
- Claude by Anthropic is a generative AI tool similar to Microsoft Copilot and OpenAI’s ChatGPT, but with better performance in terms of creativity, proofreading and coding assistant.
Session 3: “Perplexity”
Wednesday November 20th from 1:00pm-2:00pm (On campus in MN3230 – CDRS Large Collaboration Space).
- Perplexity is a generative AI powered search engine designed to provide accurate, reliable, and up-to-date information with citations.
Assessment of Learning Series: “A Brief History of Educational Assessment” (Online)
Wednesday October 16th, 2024 from 12:00pm-1:00pm (Online via Zoom)
Facilitated by: Amanda Brijmohan, Educational Developer, Assessment and Scholarship of Teaching and Learning, RGASC
The first session of the Assessment of Learning Series will trace the historical origins of our present-day assessment practices. As this history is expansive, the session will focus on key moments in educational assessment history which will shine a light on how and why we assess student learning in the ways that we do. The goal of this session is to provide a space to connect these histories with our current assessment practices, such that participants can begin to reflect, re-imagine, and reconstruct their understandings around assessment and student learning.
Workshop: Re-Thinking Rubrics in the Age of Generative AI (Online)
Thursday November 28, 2024 from 12:00pm-1:30pm (Online via Zoom)
Facilitated by: Amanda Brijmohan, Educational Developer, Assessment and Scholarship of Teaching and Learning, RGASC
Rubrics are useful for specifying criteria used to assess student work. They can be helpful for instructors in maintaining consistent grading practices and are helpful in communicating academic expectations for student learning. However, as generative AI tools become more integrated in how students complete course work, rubric development practices will need to be updated to reflect this change. This online workshop will discuss current models of how generative AI use can be integrated into assessment expectations in your course, and how these expectations can be communicated through different kinds of rubrics. Participants are encouraged to bring a draft of an assignment rubric they want to revise and will work in breakout rooms to rethink their rubric criteria when considering generative AI.
Session Objectives:
- Explore emerging assessment frameworks which consider generative AI integration in how learning is assessed
- Discuss strategies for generative AI integration in rubric criteria
Assessment of Learning Series: “What do we mean when we say: ‘Inclusive Assessments’?”
Wednesday December 4th , from 11am-12:00pm in MN3230 – CDRS Large Collaboration Space
Facilitated by: Amanda Brijmohan, Educational Developer, Assessment and Scholarship of Teaching and Learning, RGASC and Adriana Grimaldi, Acting Senior Educational Developer, RGASC
The second session of the Assessment of Learning Series will discuss pedagogical considerations for implementing inclusive assessment design in your classroom. This session's content will appeal both to instructors new to the paradigm of inclusive assessment as well as those interested in re-imagining their course with inclusive assessment in mind. The principles of inclusive assessment design and practical examples of it will be discussed including the latest Universal Design for Learning Guidelines 3.0.
Past Events
Generative AI Lunch and Learn Series
Facilitated by: Rob Huang, Educational Developer, Instructional Practices and Student Engagement, RGASC
This lunch and learn series will explore various Generative AI tools in higher education through the lens of the STRIVE (Student-centeredness, Transparency, Responsibility, Integrity, Validity, and Equity) model.
Designed for instructors at varying levels of comfort and experience, each of the six 30-minute sessions will demonstrate potential ways of incorporating a Generative AI tool into our teaching and learning practice, as well as build our collective pedagogical literacy in AI.
Each session will consist of the following format:
- Introduction to the featured AI tool (5 minutes)
- Demonstration of the tool's application in education (10 minutes)
- Discussion of the tool through the STRIVE framework lens (10 minutes)
- Q&A and wrap-up (5 minutes)
Six sessions will be offered, with the first three taking place in the Fall term. There will be both online and on campus sessions. Please see full list of Fall sessions below, including registration information.
Session 1: “Microsoft Copilot”
Wednesday September 18th from 12:00pm-12:30pm (Online via Zoom).
Microsoft Copilot is now available through the University of Toronto to all instructors, staff, and students.