Unveiling Sentiment in Online Peer Learning through Machine Learning and LLMs

Karen DSouza, Pratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay

Track: Innovations in AI for Education (Day 1)

Paper Length: short-paper (2 pages + references)

Keywords: Generative AI, Sentiment Analysis, Collaborative Learning, Cyber Peer Led Team Learning

TL;DR: Our work compares the capabilities of using ML algorithms and LLMs in education to decipher student sentiment and engagement.

Abstract: To establish an inclusive peer-based online learning environment, we delve into the metrics of peer engagement and sentiment using machine learning (ML) and large language models (LLMs). Our work compares the capabilities of using ML algorithms and LLMs in education to decipher student sentiment and engagement.

Submission Number: 51