Alternative Title

Unlocking the Secrets of High-Rated Professors: Using Artificial Intelligence (AI) to Analyze Student Feedback and Teaching Traits

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)

Location

Seminole A

Start Date

30-5-2025 10:45 AM

End Date

30-5-2025 11:10 AM

Publisher

University of Central Florida Libraries

Keywords:

Artificial Intelligence; Student Feedback; Teaching Evaluation; Professor Ratings; Data Analysis

Subjects

Students--Rating of--Evaluation; College teachers--Evaluation; Artificial intelligence--Study and teaching; Students--Rating of; Student evaluation of teachers

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.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty; Students; Librarians

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May 30th, 10:45 AM May 30th, 11:10 AM

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.