Investigating EFL Students' Writing Skills Through Artificial Intelligence: Wordtune Application as a Tool
Open accessAbstract
Artificial intelligence (AI) powered writing technologies such as Wordtune and Grammarly are increasingly penetrating the L2 writing domain. Despite the growing significance of such digital tools, few studies have explored how AI-driven applications impact Saudi English as a Foreign Language (EFL) writing. The current study aimed to fill this gap by investigating whether and to what extent Wordtune facilitates Saudi students' writing. The participants were divided into two male and two female groups using a mixed-method design. For both male and female samples, one group was identified as the control group, whereas the other one was identified as the experimental group. Quantitative data were collected using pretests and post-tests and analyzed using SPSS. Qualitative data were derived from students' writing samples and assessed by two human raters. The results showed that using Wordtune, students in the experimental group surpassed those in the control group. Quantitative findings demonstrated that using Wordtune, the experimental group upgraded their writing and outperformed the control group in the final writing exam. Qualitative findings indicate that using Wordtune, the experimental group made modest writing gains at the lexical and syntactic levels. While lexical gains included more concrete nouns, vivid adjectives, and precise verbs, sentence-structure gains included the increasing presence of complex phrases and complex and compound sentences. Finally, the impact of Wordtune on writing quality was the same for both male and female participants.
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Constructivist theory treats learning as an active, iterative process in which students build knowledge through cycles of feedback, revision, and reflection.
“Constructivist theory treats learning as an active, iterative process in which students build knowledge through cycles of feedback, revision, and reflection—processes that align directly with AI-supported writing workflows (Al-Mahmud, 2023; Liu et al., 2025).”
From From tool to scaffold: structured human–AI collaboration and its effects on academic writing and digital critical thinking among Saudi EFL learners (2026) · cites this paper as Al-Mahmud, 2023
The Research Implication and Recommendation section (page unavailable) describes students using Wordtune feedback and rewrites to identify problems and think about their writing. That supports the claimed alignment with AI-supported writing workflows, but the paper does not present these processes as a tenet of constructivist theory. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe experimental group's substantially larger writing gains-from virtually identical pretest baselines-corroborate evidence that AI tools improve EFL writing most effectively when embedded within explicit pedagogical frameworks.
“The experimental group’s substantially larger writing gains—from virtually identical pretest baselines—corroborate evidence that AI tools improve EFL writing most effectively when embedded within explicit pedagogical frameworks (Al-Mahmud, 2023; Abduljawad, 2024; Jamshed et al., 2024).”
From From tool to scaffold: structured human–AI collaboration and its effects on academic writing and digital critical thinking among Saudi EFL learners (2026) · cites this paper as Al-Mahmud, 2023
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- Authors
- Mahmud, F. A.
- Venue
- Journal of Language Teaching and Research
- Publisher
- Academy Publication
- Published
- 2023-09-01
- Volume
- 14
- Issue
- 5
- Pages
- 1395-1404
- ISSN
- 1798-4769 (ISSN-L)
- 2053-0684
- OpenAlex
- W4386371413
- Cited by
- 45
- References
- 38
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 5 · 2023: 2
- FWCI
- 50.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Language Teaching and Research (publishedVersion)
- Funders
- University of Jeddah
- 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
- Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
- Keywords
- AI-assisted writing, EFL writing, Saudi EFL learners, writing quality, lexical diversity, syntactic complexity, gender differences
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