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Article . 2025 . Peer-reviewed
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Investigating of AI tools' Enhancement on the English Writing Skills among Non-Native Speakers

Authors: Mohammed Hamoud Ghannam; Afaf Alwan; Baleid Taha Shamsan; Ayat Abdullah; Enas Ameen; Aya Hassan; Mlak Faez; +2 Authors

Investigating of AI tools' Enhancement on the English Writing Skills among Non-Native Speakers

Abstract

This document addresses, using examples of popular AI tools including Grammarly and Hemingway, how such similar tools assist their use in improving non-native English learners' writing through real-time feedback on grammatical, syntactical, vocabulary-related, coherence, and clarity issues. Interviews were conducted with students and language instructors and together with analysis of the results underscore several issues-both challenges and advantages being that of implementing AI in writing education. Research indicates that the tools can correct writing, improve the confidence of a learner, motivate a learner to take risks in self-correction, and foster skills in making corrections when errors appear. Negative aspects include feeding dependency and difficulties that can arise with dealing with intricate aspects of language nuances, cultural subtleties, and context-specific expressions. It is thus recommended that AI tools should support and not substitute what is going on in traditional writing instruction, thus implying the integration of AI feedback into teachers' practices for personalized use, all while assuming a critical stance toward it.

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Keywords

H, Social Sciences, artificial intelligence, english writing skills, non-native speakers, grammar correction, writing autonomy, language learning technology, qualitative research, and educational tools

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold