An Empirical Study to Understand How Students Use ChatGPT for Writing Essays
Andrew Jelson, Daniel Manesh, Alice Jang, Daniel Dunlap, Young-Ho Kim, Sang Won Lee

TL;DR
This study investigates how students use ChatGPT for essay writing, revealing usage patterns and their relation to demographics, attitudes, and essay quality to inform educational integration of AI tools.
Contribution
It provides the first empirical analysis of student ChatGPT usage patterns during essay writing and their impact on learning and engagement.
Findings
Gender, race, and self-efficacy predict ChatGPT usage patterns.
Different usage patterns correlate with varying enjoyment and ownership.
Study offers insights for integrating AI tools into writing education.
Abstract
As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may reduce their critical engagement with writing, hindering students' learning processes. The negative or positive impact of using LLM-powered tools for writing will depend on how students use them; however, how students use ChatGPT remains largely unknown, resulting in a limited understanding of its impact on learning. To better understand how students use these tools, we conducted an online study where students were given an essay-writing task using a custom platform we developed to capture the queries they made to ChatGPT. To characterize their ChatGPT usage, we categorized each of the queries students made to ChatGPT. We then analyzed the…
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