Can AI Tutors actually teach?
The right feedback doesn’t end the conversation , it gives the start to a new one. Yet most AI tools skip the process, giving answers instead of guiding thought. This project explores how a learning assistant can teach through dialogue, hints, and challenges, not just solutions.
Recent Comments
Bianca, this is the pedagogical equivalent of setting fire to the old textbook factory and replacing it with a Socratic café on Mars. Instant answers are like giving someone a fish-flavored protein bar - they fill you up but leave your soul malnourished. True learning is when the student’s brain is sweating, hallucinating metaphors, and negotiating with itself in a dimly lit mental alley. Your approach is the academic equivalent of planting thought-mines in someone’s head and letting them detonate into understanding days later. Carry on, this is how revolutions in education start - one gloriously painful ‘aha’ moment at a time
Thank you, Ben, for a comment that feels like it was smuggled out of a dream and annotated by a philosopher. This reads like an academic fever dream - part cosmic poetry, part perfectly brewed metaphor. I’m still not entirely sure which dimension your Socratic café on Mars occupies, but I love that my project now has a reserved table there. The protein bar image is going to live rent-free in my head, right next to those gloriously painful ‘aha’ moments you described, the kind that make you feel like you’ve just solved the universe… but suspect that it is already preparing a follow-up question.
Great work, Aminata! Turning tricky, difficult to handle proteins into friendly, water loving versions sounds brilliant. It’s like giving them little swimsuits so they can play nicely in the lab. Can’t wait to see how your mimetics perform!
This is such a fascinating blend of biology, data science, and automation, turning complex single cell data into meaningful, spatially precise insights is no small feat. Congratulations on tackling such a critical project!
This is such an impressive and important contribution, benchmarking in fuzzing has always been a tricky space, and Magma’s role in bringing fairness and consistency to evaluations can’t be overstated. It’s the kind of careful, subtle, but complex effort that ultimately drives the entire field forward in both reliability and credibility. Huge congratulations on taking on a project with such lasting impact for the cybersecurity community!
Congratulations on this work, Emma! Modeling those interactions sounds complex but crucial, the kind of work that quietly underpins safe, scalable climate solutions. I really like how your research connects multiple technologies under a single framework of subsurface science. Looking forward to future results!
Congratulations for this amazing work Thomas, it’s amazing how much performance gain can come from such a fundamental component redesign! Am looking forward to seeing the final design!