Learner agency in revising <scp>GenAI</scp> ‐generated statements of purpose

Abstract This study investigates how English as a foreign language (EFL) learners enact their agency in revising generative AI (GenAI)‐generated academic texts, in this case the statement of purpose, or SOP. Conducted at a key university in Southern China, the study involved 121 English‐major students. This study included two phases. First, we used the Curriculum Vitae (CVs) submitted by the participants to generate SOP drafts through a standardized prompt in ChatGPT‐4. Second, the participants acted as evaluators and editors, engaging with the GenAI‐generated SOPs to varying extents. Nine of the participants attended semi‐structured retrospective interviews. Textual comparison of original and final SOPs was conducted to identify patterns of agency, non‐parametric analysis was performed between learners' ratings and their identified agentic patterns, and thematic analysis was applied to the interview data. The study revealed three agentic revision patterns: compliance‐oriented acceptance, form‐oriented modification, and content‐oriented innovation. Differences in learners' ratings of GenAI‐generated SOPs were found across the three patterns. Two factors influenced these patterns: authentic voice versus GenAI‐constructed textual voice and enthusiasm to present intentions. The study suggests that empowering EFL learners to activate their agency in using GenAI tools enhances their academic writing and supports them in meeting specific task requirements. Practitioner notes What is already known about this topic EFL learners often face challenges in academic writing, particularly in incorporating GenAI‐generated material effectively. Agency in revision processes is important for EFL learners using GenAI tools. Previous research highlights the potential of GenAI in supporting writing tasks, but there is limited insight into how EFL learners express their agency during revisions of GenAI‐generated content. What this paper adds This study explored how EFL learners enact their agency when revising GenAI‐generated academic texts (ie, SOPs). We identified three specific patterns of agency enactment during the revision process, namely, compliance‐oriented acceptance, form‐oriented modification, and content‐oriented innovation. The research highlighted factors influencing these agency patterns, including authentic voice versus GenAI‐constructed textual voice and enthusiasm to present intentions. Implications for practice and/or policy Educators should promote learner agency by encouraging students to recognize and manage their revision strategies, including acceptance, modification, and innovation while using GenAI tools, through instructional strategies that empower effective agency. EFL writing instructors should develop critical thinking skills and encourage learners to develop their unique authorial voice, particularly when revising personal and complex texts (e.g., SOPs) to avoid overreliance on GenAI. Teachers should guide learners in balancing their authentic identities with GenAI enhancements, ensuring students remain the agents in shaping their voices and conveying the emotional resonance of their experiences in their SOPs.

Authors

Institutions

Publication Details

Journal
British Journal of Educational Technology
Published
2026-01-09
DOI
https://doi.org/10.1111/bjet.70041
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
17.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learner agency in revising GenAI ‐generated statements of purpose

J. Zhao, Yuanlan Jiang, Qian Wu, Tao Yu et al.
1 citations
British Journal of Educational Technology
Artificial Intelligence in Healthcare and Education
17.70
article

Learner agency in revising GenAI ‐generated statements of purpose

J. Zhao, Yuanlan Jiang, Qian Wu, Tao Yu, Changle Jian
article en
1 citations

Abstract

Abstract This study investigates how English as a foreign language (EFL) learners enact their agency in revising generative AI (GenAI)‐generated academic texts, in this case the statement of purpose, or SOP. Conducted at a key university in Southern China, the study involved 121 English‐major students. This study included two phases. First, we used the Curriculum Vitae (CVs) submitted by the participants to generate SOP drafts through a standardized prompt in ChatGPT‐4. Second, the participants acted as evaluators and editors, engaging with the GenAI‐generated SOPs to varying extents. Nine of the participants attended semi‐structured retrospective interviews. Textual comparison of original and final SOPs was conducted to identify patterns of agency, non‐parametric analysis was performed between learners' ratings and their identified agentic patterns, and thematic analysis was applied to the interview data. The study revealed three agentic revision patterns: compliance‐oriented acceptance, form‐oriented modification, and content‐oriented innovation. Differences in learners' ratings of GenAI‐generated SOPs were found across the three patterns. Two factors influenced these patterns: authentic voice versus GenAI‐constructed textual voice and enthusiasm to present intentions. The study suggests that empowering EFL learners to activate their agency in using GenAI tools enhances their academic writing and supports them in meeting specific task requirements. Practitioner notes What is already known about this topic EFL learners often face challenges in academic writing, particularly in incorporating GenAI‐generated material effectively. Agency in revision processes is important for EFL learners using GenAI tools. Previous research highlights the potential of GenAI in supporting writing tasks, but there is limited insight into how EFL learners express their agency during revisions of GenAI‐generated content. What this paper adds This study explored how EFL learners enact their agency when revising GenAI‐generated academic texts (ie, SOPs). We identified three specific patterns of agency enactment during the revision process, namely, compliance‐oriented acceptance, form‐oriented modification, and content‐oriented innovation. The research highlighted factors influencing these agency patterns, including authentic voice versus GenAI‐constructed textual voice and enthusiasm to present intentions. Implications for practice and/or policy Educators should promote learner agency by encouraging students to recognize and manage their revision strategies, including acceptance, modification, and innovation while using GenAI tools, through instructional strategies that empower effective agency. EFL writing instructors should develop critical thinking skills and encourage learners to develop their unique authorial voice, particularly when revising personal and complex texts (e.g., SOPs) to avoid overreliance on GenAI. Teachers should guide learners in balancing their authentic identities with GenAI enhancements, ensuring students remain the agents in shaping their voices and conveying the emotional resonance of their experiences in their SOPs.

British Journal of Educational Technology
Guangxi University (CN), Sun Yat-sen University (CN)
Quality Education
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare and Education
17.70
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.