What do students want AI to do for learning—and what should remain human?
Mallory, Sylvia and Lauren share perspectives shaped by their own experiences as university students. Mallory is a first-year master’s student in applied mathematics at the University of Guelph. Sylvia is a fourth-year music major with a sociology minor at the University of Arizona. Lauren is a fourth-year psychology student at the University of Western Ontario.
Their experiences show that AI isn’t an abstract debate for students. Decisions about how it’s used can affect what they learn, the support they get and how they see their fields changing. Mallory uses AI to slow down complex math concepts, while emphasizing that people must check its work. Sylvia sees possible uses in research and teaching, but questions whether AI belongs in every field and says human emotion in music matters. Lauren prefers using AI as an assistant, not a substitute for her own work. She values instructors who help students use it to learn and appreciates having a voice in decisions that affect her education.
At D2L, we are always learning, and listening to learners helps us learn. We listen to student perspectives, take feedback seriously and stay engaged with the teaching and learning community because we know we don’t have all the answers. These conversations help us keep learning and growing.
For more on D2L's perspectives and our intelligent by design approach to AI, visit https://www.d2l.com/ai-hub/. There you'll find resources, events, tools, and so much more.