Authors:

Yutian Ye

Date Created:

Not specified

Course Title:

Professor:

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About Paper:

ChatGPT is increasingly used in academic settings, but educators often lack insight into student usage. This project analyzes survey responses from 215 university students to understand how and why they use ChatGPT for education. We applied machine learning classification models to predict frequent users and used clustering to reveal distinct usage patterns. Logistic regression achieved the best performance (79% accuracy), highlighting key drivers such as academic year and usage purpose. Insights from this study can guide universities in providing better AI-integrated support and help tailor interventions based on user behavior. Keywords: [no keywords provided]

Source:

Purdue University / 2025

Topics:

No topics listed

Co-authors:

Yutian Ye