Students' Perceptions of Using ChatGPT for Academic Writing in English

This article explores the perceptions of university students on the use of ChatGPT for academic writing in English. Participants (n = 79) are all students on mandatory English-language courses at a university Language Centre in Finland. They are predominantly first-year bachelor’s degree students from various degree programmes in different faculties. Participants’ insights were collected via a survey that was administered to several intact groups during the autumn semester of 2023. The survey collected quantitative and qualitative data which were analysed and discussed in light of students’ developing academic writing skills in English. The study sheds light on students’ specific uses of the AI-driven tool as well as their perceptions of its impact on not only the writing process and product, but also on their own writing skills. The results indicated that students perceived ChatGPT to have above average usability, a finding which was supported and elucidated by students’ free responses concerning ways in which they have used this technology. Conversely, the reasons that some students had not used it included, amongst others, a lack of need, ethical concerns and doubts about its usefulness. Given the continued development and availability of large language models such as ChatGPT, this research has clear implications for all stakeholders in higher education. In particular, by illustrating how students utilise ChatGPT in their academic writing, the study provides university language teachers with the insights needed to ensure that their course outcomes, content and assessments remain reflective of students’ developing knowledge and study practices.

Authors

Institutions

Publication Details

Journal
Półrocznik Językoznawczy Tertium
Published
2024-11-15
DOI
https://doi.org/10.7592/tertium.2024.9.1.274
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Students' Perceptions of Using ChatGPT for Academic Writing in English

Ekaterina Talalakina, Peter Launonen, Galyna Dubova
3 citations
Półrocznik Językoznawczy Tertium
Artificial Intelligence in Healthcare and Education
0.36
article

Students' Perceptions of Using ChatGPT for Academic Writing in English

Ekaterina Talalakina, Peter Launonen, Galyna Dubova
article en
3 citations

Abstract

This article explores the perceptions of university students on the use of ChatGPT for academic writing in English. Participants (n = 79) are all students on mandatory English-language courses at a university Language Centre in Finland. They are predominantly first-year bachelor’s degree students from various degree programmes in different faculties. Participants’ insights were collected via a survey that was administered to several intact groups during the autumn semester of 2023. The survey collected quantitative and qualitative data which were analysed and discussed in light of students’ developing academic writing skills in English. The study sheds light on students’ specific uses of the AI-driven tool as well as their perceptions of its impact on not only the writing process and product, but also on their own writing skills. The results indicated that students perceived ChatGPT to have above average usability, a finding which was supported and elucidated by students’ free responses concerning ways in which they have used this technology. Conversely, the reasons that some students had not used it included, amongst others, a lack of need, ethical concerns and doubts about its usefulness. Given the continued development and availability of large language models such as ChatGPT, this research has clear implications for all stakeholders in higher education. In particular, by illustrating how students utilise ChatGPT in their academic writing, the study provides university language teachers with the insights needed to ensure that their course outcomes, content and assessments remain reflective of students’ developing knowledge and study practices.

Półrocznik Językoznawczy TertiumVol. 9(1)
Tampere University (FI)
Quality Education
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.