Published

Narrative Explorations of EFL Learners’ Engagement with AI Tools in Developing Writing Proficiency

Authors

1

Lailatun Najmiah

Universitas Nahdlatul Ulama Kalimantan Selatan

2

Alaa Hussein Jafar Al-Anbari

Amity University, Delhi, India

Abstract

This study explores the lived experiences of English as a Foreign Language (EFL) learners engaging with Artificial Intelligence (AI) tools to support their academic writing development. Using a narrative inquiry approach, the research investigates how learners describe their interactions with AI technologies such as ChatGPT and Grammarly, and what challenges and opportunities they perceive. Eighteen university-level EFL students participated in in-depth interviews, revealing that AI tools are widely appreciated for enhancing linguistic accuracy, improving efficiency, boosting writing confidence, and supporting idea generation. These benefits align with the Technology Acceptance Model and Sociocultural Theory, suggesting that AI acts as both a facilitator of ease and a scaffold within learners’ Zones of Proximal Development. However, the findings also highlight substantial concerns related to academic integrity, over-reliance, and AI’s limitations in generating culturally nuanced or critically engaging content. This duality reflects the "Paradox of Assistance," where the same features that make AI valuable can also inhibit deeper learning if uncritically used. The study emphasizes the need for intentional, pedagogically guided integration of AI in EFL writing instruction, promoting a balanced Human-AI collaboration that empowers learners as autonomous and reflective writers.

Publication Info

Volume / Issue
Vol. 1, No. 2
Year
2025
Pages
42-62
Submitted
29 June 2025
Published
01 September 2025

Original Article

View this article on the original journal website for additional features and citation options.

View in OJS

Share

Publication History

Transparent editorial process timeline

Submitted

29 Jun 2025

Sent to Review

01 Jul 2025

Review Completed

04 Jul 2025

Review Completed

23 Jul 2025

Revisions Required

24 Jul 2025

Review Completed

07 Aug 2025

Editorial Decision

07 Aug 2025

Accepted

07 Aug 2025

Sent to Production

13 Aug 2025

Published

01 Sep 2025