Zhe Chen

Mr. Zhe Chen

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 April 2025 in Information
Verified
Journal Article
Open access
PDF file
LSLeon Sterling
Leon Sterling
CYChunchun Ye
Chunchun Ye
HYHaoxuan Ying
Haoxuan Ying
ZCZhe Chen
Zhe Chen
Students are faced with a wide range of writing tasks during their studies, including writing literature reviews, summarising papers and producing reflective reports. Writing tasks present a challenge for students who are not writing in their native language due to studying overseas. Indeed, students writing in their native language have a distinct advantage in assignments involving writing. The rapid emergence of Generative Artificial Intelligence (Gen-AI) over the past three years has the potential to significantly impact the quality and efficiency of writing of non-native English speakers by providing international students with an opportunity to minimise the language barrier when writing in academia. This paper reports on a series of structured exercises we developed to determine how using Gen-AI tools built on large language models (LLMs) such as ChatGPT and Claude might improve student writing in the context of computing degrees. Two of the exercises were successfully repeated with a second and independent group of students. We analyse some issues to be aware of when using Gen-AI tools and make suggestions as to their effective use. The key underlying message is that students need to develop their own distinct voice.

20 February 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
LSLeon Sterling
Leon Sterling
CYChunchun Ye
Chunchun Ye
HYHaoxuan Ying
Haoxuan Ying
ZCZhe Chen
Zhe Chen
Students are faced with a wide range of writing tasks during their studies, including literature reviews, summarising papers and reflective reports. The writing tasks present a challenge for students who are not writing in their native language due to studying overseas. Indeed, students writing in their native language have a distinct advantage in assignments involving writing. The rapid emergence of Generative Artificial Intelligence (Gen-AI) over the past three years has the potential to significantly impact the quality and efficiency of writing of non-native English speakers by providing international students with an opportunity to minimise the language barrier when writing in academia. This paper reports on a series of structured exercises undertaken by the authors to determine how using Gen-AI tools built on large language models (LLMs) such as ChatGPT and Claude might improve their writing in the context of computing degrees. We analyse some issues to be aware of when using Gen-AI tools and make suggestions as to their effective use. The key underlying message is that students need to develop their own distinct voice.