Profiles of Approaches to Writing and Their Links to Self-Efficacy and LLM Acceptance in L2 Academic Writing

Approaches to writing play an important role in both the writing processes and outcomes. However, little is known about whether L2 writers adopt different combinations of approaches in academic writing contexts and what factors predict such combinations. Hence, this study aimed to identify different profiles of approaches to writing in an L2 academic context and examine how they are predicted by writing self-efficacy and large language model (LLM) acceptance. To this end, a total of 578 Chinese graduate students were recruited to participate in the study. Latent profile analysis revealed three distinct writing profiles: unorganized (Profile 1), dissonant (Profile 2), and deep and organized (Profile 3), with the majority of students categorized under the dissonant profile. Additionally, multinomial logistic regression analysis revealed that writing self-efficacy positively predicted profile membership, with the strongest effect observed for Profile 3, followed by Profile 2 and then Profile 1. LLM acceptance also positively predicted profile membership, with the strongest effect for Profile 2, followed by Profile 3 and then Profile 1.

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Publication Details

Journal
Behavioral Sciences
Published
2025-07-20
DOI
https://doi.org/10.3390/bs15070983
Citations
19
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
288.33
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article

Profiles of Approaches to Writing and Their Links to Self-Efficacy and LLM Acceptance in L2 Academic Writing

Laura Mendoza, Hongbin Li, Junju Wang, Sun Fei
19 citations
Behavioral Sciences
Discourse Analysis in Language Studies
288.33
article

Profiles of Approaches to Writing and Their Links to Self-Efficacy and LLM Acceptance in L2 Academic Writing

Laura Mendoza, Hongbin Li, Junju Wang, Sun Fei
article en
19 citations

Abstract

Approaches to writing play an important role in both the writing processes and outcomes. However, little is known about whether L2 writers adopt different combinations of approaches in academic writing contexts and what factors predict such combinations. Hence, this study aimed to identify different profiles of approaches to writing in an L2 academic context and examine how they are predicted by writing self-efficacy and large language model (LLM) acceptance. To this end, a total of 578 Chinese graduate students were recruited to participate in the study. Latent profile analysis revealed three distinct writing profiles: unorganized (Profile 1), dissonant (Profile 2), and deep and organized (Profile 3), with the majority of students categorized under the dissonant profile. Additionally, multinomial logistic regression analysis revealed that writing self-efficacy positively predicted profile membership, with the strongest effect observed for Profile 3, followed by Profile 2 and then Profile 1. LLM acceptance also positively predicted profile membership, with the strongest effect for Profile 2, followed by Profile 3 and then Profile 1.

Behavioral SciencesVol. 15(7)
University of Helsinki (FI), Shandong University (CN), Tianjin University (CN), Tianjin Foreign Studies University (CN), Helsinki Institute of Physics (FI)
Quality Education
Openalex Percentile: Top 0%
Discourse Analysis in Language Studies
288.33
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Profiles of Approaches to Writing and Their Links to Self-Efficacy and LLM Acceptance in L2 Academic Writing — Laura Mendoza, Hongbin Li, et al. · Behavioral Sciences (2025) | TGRS Research Map | TGRS