2026/9/8

Reza Khany

Academic rank: Professor
ORCID:
Education: PhD.
ResearchGate:
Faculty: Literature and Humanities
ScholarId:
E-mail: r.khany [at] ilam.ac.ir
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Phone:
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Research

Title
Leveraging AI-Powered Writing Assistants to Enhance L2 Writing Proficiency
Type
JournalPaper
Keywords
AI-powered writing assistants, Grammarly, L2 writing proficiency, Automated feedback in CALL
Year
2025
Journal AI and Tech in Behavioral and Social Sciences
DOI https://doi.org/10.61838/kman.aitech.4287
Researchers Reza Khany ، Pooria Barzan

Abstract

This mixed-methods study investigates the efficacy of Grammarly, an AI-powered writing assistant, in enhancing L2 English writing proficiency among 60 intermediate-to-advanced learners at Ilam University. Over a 12-week intervention, an experimental group (n=30) used Grammarly for essay drafting and revision, while a control group (n=30) received traditional teacher and peer feedback. Quantitative analysis of pre/post writing assessments revealed significantly greater improvements in the experimental group for linguistic accuracy, coherence, and syntactic complexity (p<0.001; large effect sizes: d=1.40–1.75), validated via rubric scoring and Coh-Metrix text analysis. Behavioral analytics showed revision frequency (mean=18.3/essay) and time-on-task predicted 54% of writing gains (p<0.001). Qualitative themes from semi-structured interviews (n=15) highlighted enhanced self-efficacy, motivation, and trust in AI feedback for grammar/style, though learners emphasized the need for complementary human guidance on higher-order concerns (e.g., argumentation). Results demonstrate Grammarly’s effectiveness in promoting writing proficiency and engagement, advocating for an integrated AI-human feedback approach in L2 pedagogy.