Date and Time: Thursday, July 4, 2024, 9:00am - 3:30pm
Location: Ellis Hall, Room 333
Facilitators: Rebecca Sweetman, Faculty of Arts and Science; Corina Koch MacLeod, Centre for Content Development, Smith School of Business; Satish Kumar Kotha, Engineering Teaching and Learning Team; Kendall Garton, Professional Studies, Faculty of Education; and Yasmine Djerbal, Centre for Teaching and Learning
Description
Are you interested in familiarizing yourself with the Generative AI tools students may be using? Would you like to learn more about how to use or address the use of Generative AI in your course?
With the ever-growing popularity of Generative AI tools in teaching and learning, this day-long institute will focus on assessments. Our goal is to provide educators with the opportunity to learn and apply current best-practices and approaches to designing learner-focused, flexible, and authentic assessments. With educational developers and instructional designers from across disciplines and Faculties, we will guide you through your assessment designs and help you draft a syllabus statement on acceptable Generative AI use in your course.
Special Note:
We encourage participants to bring with them a specific assessment they would like to adapt during the institute. Participants will also be provided with materials to review before the institute.
Learning Outcomes:
- Develop an understanding of how Generative AI can be incorporated or mitigated in assessments.
- Recognize the advantages, limitations, and potential harms of Generative AI tools in teaching and learning.
- Design assessments that are student-centred, flexible, and authentic.
- Refine course learning objectives in the context of equity, accessibility, privacy, and Generative AI.
Application Criteria: Applications are welcome from faculty members across Queen’s University. Priority will be given to those teaching courses in Fall and/or Winter 2024-2025.
Application deadline: Friday, June 21, 2024