Jiang, Feng Kevin and Hyland, Ken (2024) Does ChatGPT write like a student? Engagement markers in argumentative essays. Written Communication. ISSN 0741-0883 (In Press)
Microsoft Word (OpenXML) (ChatGPT and engagement_final)
- Accepted Version
Download (98kB) |
Abstract
ChatGPT has created considerable anxiety among teachers concerned that students might turn to Artificial Intelligence (AI) programmes to write their assignments. This AI-powered large language model is able to create grammatically accurate and coherent texts, thus potentially enabling cheating and undermining literacy and critical thinking skills. This study seeks to explore the extent AI can mimic human-produced texts by comparing essays by ChatGPT and student writers. By analysing 145 essays from each group, we focus on the way writers relate to their readers with respect to the positions they advance in their texts by examining the frequency and types of engagement markers. The findings reveal that student essays are significantly richer in the quantity and variety of engagement features, producing a more interactive and persuasive discourse. The ChatGPT-generated essays exhibited fewer engagement markers, particularly questions and personal asides, indicating its limitations in building interactional arguments. We attribute the patterns in ChatGPT’s output to the language data used to train the model and its underlying statistical algorithms. The study suggests a number of pedagogical implications for incorporating ChatGPT in writing instruction. Keywords: ChatGPT; argumentative writing; reader engagement; academic interaction
Item Type: | Article |
---|---|
Faculty \ School: | Faculty of Social Sciences > School of Education and Lifelong Learning |
UEA Research Groups: | Faculty of Social Sciences > Research Groups > Language in Education |
Depositing User: | LivePure Connector |
Date Deposited: | 10 Dec 2024 01:45 |
Last Modified: | 18 Dec 2024 01:39 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/97952 |
DOI: |
Downloads
Downloads per month over past year
Actions (login required)
View Item |