Exploring Student Beliefs: Does Interaction with AI Language Tools Correlate with Perceived English Learning Improvements?

The development of artificial intelligence has revolutionized language learning approaches with AI-assisted language applications (AiLAs) like Grammarly, Siri, and ChatGPT 3.5, offering self-paced learning, tailored feedback, and increased engagement. There is, however, not much understanding about AI’s precise effects on perceived English learning improvements among students, as the majority of current research concentrates on the fact that AI is generally regarded as a language support tool. This study investigates the relation between students’ beliefs of using AiLA in terms of duration, frequency, familiarity, and user satisfaction to improve their learning of English. Fifty-five (55) undergraduate students between the ages of 21 and 24 participated in the survey. The results showed that the duration of use and perceived English learning improvements had a moderate positive relationship, indicating that extensive use of AiLA aids in language acquisition. Frequency of use, however, had little effect, suggesting that frequent use of AiLA may not be enough. There was a small and statistically insignificant correlation between students’ perceived English learning improvement and their familiarity with AiLA. Additionally, there was a minimal to no significant correlation between user pleasure and perceived improvements in English learning, indicating that enjoyment of AiLA is not closely related to the use of the tools. These findings demonstrate that AiLA needs to be systematically incorporated into instruction, with a focus on interactive and adaptable features rather than passive engagement. To maximize language acquisition, developers should improve AI-driven feedback and adaptive learning pathways, while educators should integrate AiLA into collaborative learning.

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Publication Details

Journal
Education Sciences
Published
2025-04-23
DOI
https://doi.org/10.3390/educsci15050522
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Exploring Student Beliefs: Does Interaction with AI Language Tools Correlate with Perceived English Learning Improvements?

Zuraina Ali, Sareen Kaur Bhar, Siti Norzaimalina Abd Majid, Siti Zaimaliza Masturi
1 citations
Education Sciences
Online Learning and Analytics
1.69
article

Exploring Student Beliefs: Does Interaction with AI Language Tools Correlate with Perceived English Learning Improvements?

Zuraina Ali, Sareen Kaur Bhar, Siti Norzaimalina Abd Majid, Siti Zaimaliza Masturi
article en
1 citations

Abstract

The development of artificial intelligence has revolutionized language learning approaches with AI-assisted language applications (AiLAs) like Grammarly, Siri, and ChatGPT 3.5, offering self-paced learning, tailored feedback, and increased engagement. There is, however, not much understanding about AI’s precise effects on perceived English learning improvements among students, as the majority of current research concentrates on the fact that AI is generally regarded as a language support tool. This study investigates the relation between students’ beliefs of using AiLA in terms of duration, frequency, familiarity, and user satisfaction to improve their learning of English. Fifty-five (55) undergraduate students between the ages of 21 and 24 participated in the survey. The results showed that the duration of use and perceived English learning improvements had a moderate positive relationship, indicating that extensive use of AiLA aids in language acquisition. Frequency of use, however, had little effect, suggesting that frequent use of AiLA may not be enough. There was a small and statistically insignificant correlation between students’ perceived English learning improvement and their familiarity with AiLA. Additionally, there was a minimal to no significant correlation between user pleasure and perceived improvements in English learning, indicating that enjoyment of AiLA is not closely related to the use of the tools. These findings demonstrate that AiLA needs to be systematically incorporated into instruction, with a focus on interactive and adaptable features rather than passive engagement. To maximize language acquisition, developers should improve AI-driven feedback and adaptive learning pathways, while educators should integrate AiLA into collaborative learning.

Education SciencesVol. 15(5)
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), Multimedia University (MY), Tun Hussein Onn University of Malaysia (MY)
Openalex Percentile: Top 14%
Online Learning and Analytics
1.69
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