Unlocking the Secrets of High-Rated Professors: Using AI to Analyze Student Feedback and Teaching Traits
Location
Seminole A
Start Date
30-5-2025 10:45 AM
End Date
30-5-2025 11:10 AM
Description
This project applies Artificial Intelligence (AI) techniques to analyze student feedback from Rate My Professor, focusing on identifying the key traits associated with both high-rated and low-rated professors. By analyzing publicly available student reviews, the study aims to uncover common characteristics that lead to high ratings, as well as areas of improvement that are frequently cited in low-rated reviews.
Recommended Citation
Yucelen, Ipek and Dogan, Seden, "Unlocking the Secrets of High-Rated Professors: Using AI to Analyze Student Feedback and Teaching Traits" (2025). Teaching and Learning with AI Conference Presentations. 27.
https://stars.library.ucf.edu/teachwithai/2025/friday/27
Unlocking the Secrets of High-Rated Professors: Using AI to Analyze Student Feedback and Teaching Traits
Seminole A
This project applies Artificial Intelligence (AI) techniques to analyze student feedback from Rate My Professor, focusing on identifying the key traits associated with both high-rated and low-rated professors. By analyzing publicly available student reviews, the study aims to uncover common characteristics that lead to high ratings, as well as areas of improvement that are frequently cited in low-rated reviews.