The Impact of AI on the Accuracy of Second Language Learners in Acquiring Non-Finite Verb Structures

This study investigates the effectiveness of AI tools as instructional supports for grammar in enhancing second language learners accuracy in using non-finite verb forms. The study sample comprised 60 sophomore English as a Foreign Language (EFL) students, divided into an experimental group and a control group. The experimental group received instruction via AI tools, including ChatGPT, while the control group was taught through traditional methods. Instructional content encompassed 15 primary non-finite verbs, such as infinitives, gerunds, and participles, designed to help learners flexibly apply these forms in diverse contexts. Conducted over six weeks, the study allocated the initial two weeks to introducing the foundational concepts and forms of non-finite verbs, supplemented with introductory exercises via AI tools. During the following three weeks, learners examined advanced applications, reinforced through personalized exercises provided by the AI tools, supporting accurate usage in complex sentence structures. The final week focused on review and consolidation. Pre- and post-tests measured learners grammatical accuracy, revealing that the experimental group showed significantly greater improvement than the control group, suggesting a clear benefit of AI tools for grammatical precision and retention. These tools offer a tailored learning experience adaptable to learners specific needs, fostering increased learner confidence and autonomy. This study provides a potential instructional framework for educators and empirical support for AI integration in language teaching, contributing meaningful theoretical and practical insights.

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Publication Details

Journal
Communications in Humanities Research
Published
2024-12-12
DOI
https://doi.org/10.54254/2753-7064/2025.18139
Primary Topic
Text Readability and Simplification
Type
article
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article

The Impact of AI on the Accuracy of Second Language Learners in Acquiring Non-Finite Verb Structures

Xinyu Gao
Communications in Humanities Research
Text Readability and Simplification
article

The Impact of AI on the Accuracy of Second Language Learners in Acquiring Non-Finite Verb Structures

Xinyu Gao
article en

Abstract

This study investigates the effectiveness of AI tools as instructional supports for grammar in enhancing second language learners accuracy in using non-finite verb forms. The study sample comprised 60 sophomore English as a Foreign Language (EFL) students, divided into an experimental group and a control group. The experimental group received instruction via AI tools, including ChatGPT, while the control group was taught through traditional methods. Instructional content encompassed 15 primary non-finite verbs, such as infinitives, gerunds, and participles, designed to help learners flexibly apply these forms in diverse contexts. Conducted over six weeks, the study allocated the initial two weeks to introducing the foundational concepts and forms of non-finite verbs, supplemented with introductory exercises via AI tools. During the following three weeks, learners examined advanced applications, reinforced through personalized exercises provided by the AI tools, supporting accurate usage in complex sentence structures. The final week focused on review and consolidation. Pre- and post-tests measured learners grammatical accuracy, revealing that the experimental group showed significantly greater improvement than the control group, suggesting a clear benefit of AI tools for grammatical precision and retention. These tools offer a tailored learning experience adaptable to learners specific needs, fostering increased learner confidence and autonomy. This study provides a potential instructional framework for educators and empirical support for AI integration in language teaching, contributing meaningful theoretical and practical insights.

Communications in Humanities ResearchVol. 61(1)
University of Nottingham (GB)
Quality Education
Openalex Percentile: Top 79%
Text Readability and Simplification
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