Polycarpos Yiorkadjis
Coterm '24, Computer Science
Violet Crow
Junior '26, Symbolic Systems
Shi Han
Masters '25, Learning Design and Tech
Abhi Desai
Senior '25, Computer Science
What we do
From our interviews, we note that teachers often struggle to provide personalized, timely, and accurate feedback to students due to the demands of classrooms. I.e time constraints, as well as marking fatigue. Our solution leverages AI to generate timely, accurate, and insightful feedback for student work, helping teachers manage their workload while enhancing student learning through more actionable and personalized input.
Our product aims to:
- Automate feedback with timely insights
- Ensure consistency and fairness in evaluation
Assignment Links
A1 (Needfinding):
SlidesA2 (POV, HMW, EP):
SlidesA4 (Concept Video):
SlidesYoutube Link to Video
Video
A5 (LoFi Prototype):
SlidesA6 (MedFi Prototype):
SlidesREADME
Figma
A8 (HiFi Prototype):
SlidesREADME
GitHub
A9 (Heuristic Evaluation):
Report (pdf)Report (exel)
A10 (Poster, Pitch & Demo Video):
PosterPitch Script
Pitch Slide
Demo