In this episode Elizabeth chats with Shaily Gebethner, a part-time professor at the University of Ottawa's in the Faculty of Education and Director of International Programs at Ecole Des Langues ABCE, to unpack AI in higher education. They discuss generative AI tools like Chat GPT or Claude to determine whether their benefits come at the cost of the essential struggle needed to shape learners. Shaily shares her research on how graduate students and adult language learners use these tools, and why distributed learning, intentional design, and scaffolding matters. She argues policy makers shouldn't assume that technology is useful just because it’s available. Additional Resources:Check out Shaily’s academic work!To learn more about how Claude’s “J space” resembles the neural network within a human brain where information is processed, check out A global workspace in language models. Look into uOttawa’s Generative AI Guide for more information on how to navigate using AI in higher education. Check out to Students’ Practices and Skills in the LLM-Era: “You Can’t Outsource the Struggle and Still Get the Skill” to learn how graduate programs cannot prepare students to conduct rigorous research in the LLM era, risking creating a generation of researchers who delegate tasks without the necessary expertise.ContributorsHost: Elizabeth DuboisResearch Lead: Sarah Pledge-DicksonTranscript: Areej El-SharifAudio Editing: Sarah Pledge-DicksonTranslation: Julianne Bernier RobertPublishing and Promotion: Aaron BrissonProducer: Sarah Pledge-Dickson Check out www.polcommtech.ca for annotated transcripts of this episode in English and French.