Let’s tackle a very specific subset of a very big subject: AI. Let’s look into how generative AI is impacting higher education and research.
In today’s episode, we are discussing how generative AI affects meaningful teaching and learning, how researchers are looking into the relationship between humans and AI, and whether you should let generative AI write your resume and prepare your coffee. Em-dashes and Oxford commas are also up for debate!
Our guests are Dr. Brenda M. Stoesz and Rafiat Bamimore Akodu. Stoesz is a Research Lead - Science of Teaching and Learning at the Centre for the Advancement of Teaching and Learning (CATL) at UM. She heads up projects that help strengthen teaching at the university, digging into topics like academic integrity, VR-based training for soft skills, and how students feel about learning tech.
Akodu is an MSc student in Computer Science from the Human Computer Interaction (HCI) Lab under the supervision of Dr. Houda Elmimouni. She holds a master's degree in Collective Intelligence from the School of Collective Intelligence, University Mohammed VI Polytechnic (UM6P), Morocco, as well as a Bachelor of Engineering in Agricultural and Bio-Resources Engineering. Her primary research interest is in HCI, where she focuses on designing intelligent, human-centred systems that enhance user experiences and contribute to sustainable solutions.
This episode is hosted by Kimia Shadkami, digital content and communications lead and Michelle Perner-Lemire, research grants facilitator.
What we are not necessarily covering in this episode is the scientific aspect of AI technology and some of the ethical and environmental concerns around it. We would strongly recommend checking out the latest episode of “What’s the Big Idea!” hosted by President Michael Benarroch with the Head of Computer Science Department, David Gerhard, as the guest and featuring excerpts from the Q&A section of the recent Knight Lecture with Professor Geoffrey Hinton.