Season 5

Check your sources: A low-stakes assessment task with an AI twist

Can gen AI help students become better scientists? Dr. Jasmin Chahal thinks so—if students learn to question the output first. In this episode, Jasmin shares how she integrated gen AI into a microbiology lab course through a low-stakes, reflective assignment. Hear how her students learned to question AI-generated references, evaluate reliability, and develop critical thinking skills essential for the future of science. 
Read the Transcript.

Students critique AI: From understanding to analysis

What happens when students are asked to assess the work of gen AI? McGill instructor William Archambault explores how shifting from traditional test questions to gen AI-based critique tasks helps students develop their analytical skills. William discusses the motivation behind this redesign, the challenges of scaling it in large classes, and why teaching critical evaluation of gen AI output is becoming essential in higher education.  
 
Read the transcript.

Don’t panic, plan: Three considerations for teaching in the era of gen AI

The Fall term is underway, and gen AI is seemingly everywhere now. In this episode, we explore how to navigate gen AI in higher ed with three key moves: Intentional design, clear communication, and radical transparency. Whether you’re designing gen AI in or out of your course, this conversation will help you make informed, confident choices.
 
View the transcript.