Jul 2026· Australian Review of Applied Linguistics· 0 citations· 59 references
TL;DR
Revision tasks using ChatGPT were embedded into a 15-week SFL–GBA writing class at a university in Japan and showed a gradual shift toward a more academic register with higher lexical density and more nominalizations.
Abstract
Research on artificial intelligence (AI)-assisted rewriting activities in Systemic Functional
Linguistics–Genre-Based Approach (SFL–GBA) L2 writing remains limited. In this study, revision tasks using ChatGPT were embedded
into a 15-week SFL–GBA writing class at a university in Japan. EFL learners wrote pre-essays in the discussion genre within a time
limit and then revised the same text using ChatGPT. Their experiences were collected through a post-essay questionnaire on how
ChatGPT prompted them, how well they understood the feedback, and how they felt about using it again. Pre- essay and post-revision
drafts were explored to understand their selected SFL resources, including changes in the uses of Nominalization, Attribution, and
theme patterns. Low-proficiency first-year students tended to use ChatGPT for local substitutions, while high-proficiency
first-year students were more likely to seek guidance on word choice and genre direction. Second-year university students used
ChatGPT more selectively for sentence restructuring and phrasing refinement. While EFL learners’ evaluations of the feedback were
generally positive, their willingness to continue using ChatGPT varied across groups and seemed to be related to their perceptions
of the clarity of the feedback. Revised drafts illustrated a gradual shift toward a more academic register with higher lexical
density and more nominalizations. Changes in the use of interpersonal positioning and the use of contrasting themes to organize
counterarguments were also identified.
Findings indicate patterns consistent with cross-linguistic transfer of AI writing strategies in this exploratory sample, highlighting AI’s potential to foster metacognitive awareness and cross-linguistic strategy development in multilingual writing.
These findings support the need for speech specific properties in AI-based WLTs and, if sufficiently adapted to language learning in general, AI-based WLTs might be a useful complement when learning languages particularly as for written and receptive skills.
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It is suggested that AI integration alone does not guarantee improved writing outcomes without corresponding foundational skill development, as students lack the foundational knowledge necessary to utilize AI tools effectively.
Ulfa Haera, Andi Anto Patak, Vivit Rosmayanti· International Journal of Lan...· 0 citations
A “Dialectical AI-Scaffolding Framework” is proposed designed to shift ChatGPT from a product-generation tool to an intellectual sparring partner, ensuring that GenAI advances rather than compromises critical thinking in ESL pedagogy.
E. Raju, E. Namratha· International Journal of Eng...· 0 citations
Findings indicate patterns consistent with cross-linguistic transfer of AI writing strategies in this exploratory sample, highlighting AI’s potential to foster metacognitive awareness and cross-linguistic strategy development in multilingual writing.
In this systematic review, the impact of the AI writing assistants on the quality of writing in English as a Foreign Language (EFL) is explored, focusing on measurable outcomes and learners' experience. The review collates data from 20 recent studies conducted between 2020 and 2026 that have examined the use of Grammar...
Alcibiades Javier Lobo Mela· Latitude· 0 citations
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