Second Language Learners’ Trust in AI Feedback: An Empirical Study Based on the Current Application of AI Technology in Second Language Learning

This study investigated the level of trust in artificial intelligence feedback among second language learners and its influencing factors, involving 50 undergraduate students majoring in Linguistics at a university in China. it was found that learners generally trust AI feedback, with the degree of trust influenced by language learning experience and the quality of AI tools. Learners with higher levels of trust exhibited greater frequency in using AI tools, more active learning engagement, and lower levels of anxiety. The study suggested enhancing learner trust by improving AI tool quality and developing personalised feedback mechanisms. These findings offer valuable insights for the development of AI educational tools and provide practical recommendations for second language teaching practice.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-05
DOI
https://doi.org/10.1051/shsconf/202622802001/pdf
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Second Language Learners’ Trust in AI Feedback: An Empirical Study Based on the Current Application of AI Technology in Second Language Learning

Xinyi Wang
Springer Link (Chiba Institute of Technology)
AI in Service Interactions
article

Second Language Learners’ Trust in AI Feedback: An Empirical Study Based on the Current Application of AI Technology in Second Language Learning

Xinyi Wang
article en

Abstract

This study investigated the level of trust in artificial intelligence feedback among second language learners and its influencing factors, involving 50 undergraduate students majoring in Linguistics at a university in China. it was found that learners generally trust AI feedback, with the degree of trust influenced by language learning experience and the quality of AI tools. Learners with higher levels of trust exhibited greater frequency in using AI tools, more active learning engagement, and lower levels of anxiety. The study suggested enhancing learner trust by improving AI tool quality and developing personalised feedback mechanisms. These findings offer valuable insights for the development of AI educational tools and provide practical recommendations for second language teaching practice.

Springer Link (Chiba Institute of Technology)
Quality Education
Openalex Percentile: Top 64%
AI in Service Interactions
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