University students' perceptions of AI-assisted writing tools in supporting self-regulated writing practices
Open accessAbstract
Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing strategies, particularly in planning, monitoring, and evaluation. Employing a qualitative case study approach, data were collected from 40 EFL students at an Islamic-based university in East Java, Indonesia, through questionnaires, semi-structured interviews, and document analysis. The findings indicate that most students perceive AI tools as beneficial, particularly for grammar checking, spelling correction, and word choice improvement, though their reliance on AI for idea generation, topic selection, and writing progress monitoring varies. While AI is valued for feedback, paraphrasing, and translation, students still prefer human guidance for in-depth explanations, with some expressing concerns that excessive dependence on AI may hinder their comprehension and writing confidence. These findings highlight the need for a balanced integration of AI tools into writing instruction, emphasizing the importance of human feedback and personalized learning approaches.
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Substantial evidence relies on convenience sampling and self-reported data, introducing potential social desirability bias regarding misconduct behaviors.
“but substantial evidence relies on convenience sampling and self-reported data introducing potential social desirability bias regarding misconduct behaviors (Amani and Bisriyah, 2025; Hanh and Duyen, 2025; Karkoulian et al., 2025).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Amani and Bisriyah, 2025
The Instruments section (3.3; page unavailable) describes questionnaires and interviews, supporting the self-reported-data portion. The Participants section (3.2; page unavailable) specifies purposive, not convenience, sampling. The retrieved passages do not discuss social desirability bias regarding misconduct behaviors or establish that substantial evidence uses these methods. (LLM, conf=0.85)
Experimental — accuracy not yet measuredAI tools in academic writing fall into four functional categories: generative AI models, automated writing evaluation systems, translation tools, and multimodal platforms.
“The tools identified fall into four functional categories: generative AI models (ChatGPT, Gemini, DeepSeek, Copilot) for higher-order tasks like brainstorming and drafting; automated writing evaluation systems (Grammarly, ProWritingAid, Hemingway Editor) for grammar and mechanical corrections; translation tools (DeepL, Google Translate) for cross-lingual support; and multimodal platforms (Canva, Q”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Amani and Bisriyah, 2025
Section 2.2, “AI-Assisted Writing” (page unavailable), discusses writing assistants, automated writing evaluation, and translation tools. The interview findings also identify ChatGPT and Gemini for idea generation and DeepL for translation. Our copy does not establish a four-category taxonomy or identify multimodal platforms such as Canva as a fourth category. (LLM, conf=0.87)
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- Authors
- Amani, N., & Bisriyah, M.
- Affiliations
- Universitas Islam Negeri Maulana Malik Ibrahim (ID)
- ORCID
- Bisriyah, Maslihatul
- Venue
- IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics)
- Publisher
- UINSI Samarinda
- Published
- 2025-05-01
- Volume
- 10
- Issue
- 1
- Pages
- 91
- ISSN
- 2527-6492 (ISSN-L)
- 2527-8746
- OpenAlex
- W4409949856
- Cited by
- 17
- References
- 0
- Citations by year
- 2026: 10 · 2025: 7
- FWCI
- 60.72
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics) (publishedVersion)
- Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton) (acceptedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- AI writing tools, student self-regulation, EFL writing, student perceptions, writing planning, writing assessment, grammar checking, human feedback, writing confidence, AI dependency, writing instruction
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