Brought to you by McGill University’s Teaching and Academic Programs, Teach.Learn.Share thoughtfully explores teaching and learning practices in higher ed.
Join us for conversations with McGill’s community of instructors, students, and other experts on topics such as generative AI in teaching and learning, teaching strategies for engaging students, and integrating sustainability into course design.
Leading through change: (Pt. 3) Preparing students for an AI-shaped future
In the finale of this three-part episode, the conversation steps back to ask a fundamental question: what is a university degree for in an AI-shaped world? The framework of “stuff, skills, and soul” is introduced to help answer this question and explore how universities can prepare students for an uncertain future of work. While content and technical skills remain essential, the discussion emphasizes the growing importance of human capacities such as judgment, resilience, adaptability, and working with ambiguity. Drawing on research and historical examples, the guests argue that AI is more likely to raise expectations around critical thinking than eliminate work outright, while complicating entry-level pathways and transitions from education to employment. The episode concludes with a call for universities to remain nimble, diverse, and committed to cultivating human purpose in an AI-mediated world.
Did you miss the previous episodes? Listen to part 1 and part 2.
Read the transcript.
25 Feb 2026
Leading through change: (Pt. 2) Addressing the challenges of gen AI
In part two of this three-part episode, the conversation turns to the hard questions gen AI raises for teaching and assessment. Moving beyond promise and possibility, the guests examine practical and structural challenges facing universities, including privacy, ethics, access, and uneven adoption. They highlight a deeper pedagogical concern: increasingly “frictionless” AI tools may undermine the productive struggle essential to learning, critical thinking, and skill development. The discussion explores what this means for course design and assessment, calling for structural changes that emphasize process, dialogue, and applied learning—while acknowledging faculty workload pressures and the temptation to revert to traditional exams. The episode concludes by underscoring the importance of grounded, community-based faculty support, shared resources, and practical examples that help instructors adapt without starting from scratch.
Read the transcript
Did you miss part 1? Listen here.
11 Feb 2026
Leading through change: (Pt 1) Reimagining gen AI as opportunity
In part one of this three-part episode, senior academic leaders from McGill University, the University of British Columbia, and the University of Toronto reflect on generative AI as a transformative opportunity for teaching and learning in higher education. The conversation moves beyond seeing gen AI solely as a disruption or tool as we explore its potential to fundamentally reshape assessment, course design, student support, accessibility, and institutional practices. Gen AI is highlighted as a powerful catalyst—one that invites universities to re-examine long-standing assumptions about teaching, learning, assessment, and the core mission of higher education itself.
Read the transcript.
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
YouTube views
192,718
Score snapshot 15 Sept 2025
Spotify
5.0 / 5
3 ratings
Podcast Authority Score: 45 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
33
Social presence
0
YouTube
82
Engagement
60
Contact Teach.Learn.Share
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Teach.Learn.Share?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
