DEI: Exploring academic reflections using natural language processing to create a roadmap of student success and foster inclusive engineering education

Author(s) Information

Rajvir H. Vyas, California Polytechnic State University, San Luis ObispoFollow
Nidhi Raviprasad, California Polytechnic State University, San Luis ObispoFollow

College - Author 1

College of Engineering

Department - Author 1

Computer Science Department

College - Author 2

College of Engineering

Department - Author 2

Computer Science Department

Advisor

Dr. Zoe Wood (Co-Pl), College of Engineering, Computer Science Department; Dr. Sumona Mukhopadhyay (Pl), College of Engineering, Computer Science Department

Funding Source

CENG Dean's Club for Innovation DEI Funding

Date

10-2023

Abstract/Summary

Every year, the College of Engineering (CENG) students and faculty reach out to admitted students through “Text-a-Thon” programs to answer their questions about being a student at Cal Poly. In order to improve CENG outreach efforts, we analyzed these text conversations to predict the likelihood of an admitted student accepting an offer of admission from Cal Poly. Through our research, we discovered key factors that play a role in a student committing to Cal Poly through data-based insights. Additionally, we successfully used a human-on-the-loop system to help create Machine Learning (ML) models that predict satisfaction of response by way of sentiment analysis.

October 1, 2023.