New Frontiers in Teaching and Learning

Transparency in GenAI Use

The second workshop in the CTL/Library (Academic Integrity Matters Program) series on GenAI and academic integrity, “Embedding Transparency into GenAI Use on Assignments,” expanded its focus on delineating expectations around GenAI use from course policies and assignment descriptions to techniques that can be used in conjunction with existing assignments to reinforce and reward academic integrity. The workshop began with […]

GenAI and Academic Integrity Workshop Highlights

The first workshop in the CTL/Library workshop on GenAI and academic integrity, “Aligning Assignments with GenAI Expectations, guided instructors to reflect on how students are using GenAI for academic purposes, pinpoint the intended learning for one of their assignments (to be demonstrated alone and not in collaboration), and work to address the “gray areas” where […]

The CTL GenAI Sandbox

The Centre for Teaching and Learning is excited to launch a new bookable space in ADM 103H where instructors can explore and learn about Generative AI in a friendly, hands-on environment. Whether you’re just starting out or already experimenting with AI, we’re here to support you. This space is designed to help you: Learn what Generative AI […]

Guidelines for Requiring Generative AI Tools in UBC Courses

The UBC Privacy Matters team has released an Interim report that outlines the Privacy Impact Assessment Guidelines for Third-Party Hosted Generative AI Tools. One of the key takeaways of this report is that if instructors would like to require classroom use of AI tools, then they need to make sure it is optional for students to […]

Agency Tracking

A common challenge for students using GenAI is that outputs seem accurate, convincing, and even potentially better than what they envision being able to produce on their own. When the product is the goal and the final submission the grade that matters, then students can readily discount the value of the process. Assignments that specify how AI can be used can also employ agency tracking, which makes explicit expected student input (% human time/effort) to maximize human contributions, retain control in decision-making, and minimize outsourcing thinking. Both instructor and students can tailor the Agency Tracking Flowchart to an assignment involving GenAI. An instructor can indicate the percent of human effort recommended for each step based on […]