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Identifying Whether a Short Essay Was Written by a University Student or ChatGPT

Authors :
Christopher Saarna
Source :
International Journal of Technology in Education. 2024 7(3):611-633.
Publication Year :
2024

Abstract

This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays and ChatGPT generated essays. The ICNALE written corpus (Ishikawa, 2013) was used to find and randomly select the essays of four Japanese university students' written work who studied English at roughly CEFR A2 level. The AI chatbot, ChatGPT, was used to generate four essays utilizing prompts which directed the chatbot to mimic grammar mistakes common to nonnative speakers of English. Teachers were requested to identify which of the eight essays they believed to be human written or ChatGPT generated. On average, the teachers were able to identify 54.25% of items accurately. This result is slightly better than random chance, and implies that most teachers cannot make an accurate assessment on a ChatGPT generated essay when ChatGPT is prompted to make grammar mistakes.

Details

Language :
English
ISSN :
2689-2758
Volume :
7
Issue :
3
Database :
ERIC
Journal :
International Journal of Technology in Education
Publication Type :
Academic Journal
Accession number :
EJ1438413
Document Type :
Journal Articles<br />Reports - Research<br />Tests/Questionnaires