Evidence map›Paper›PMID 41429860›Full record

ArticleScientific reports2025

AI utilization, enjoyment, trust and instructor competence as predictors of intercultural communication competence among Chinese students.

Huayi Wang, Caiyun Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Huayi WangSchool of Teachers, Guizhou University of Engineering Science, Xueyuan Road, Qixingguan District, Bijie, 551700, Guizhou, People's Republic of China. wanghy@gues.edu.cn.
Caiyun GaoDepartment of Medical Research, The Ninth Medical Center of Chinese PLA General Hospital, No. 9, Anxiang North Street, Chaoyang District, Beijing, 100101, People's Republic of China.

Funding

Humanities and Social Science Research Project for Universities in Guizhou Province Project No. 2025RW106
6 · The paper itself

Abstract

International students in China navigate both linguistic and cultural adaptation demands in classrooms increasingly infused with artificial intelligence (AI). Guided by the broaden-and-build theory of positive emotions, this study tested whether AI-mediated learning enjoyment channels the impact of AI-mediated interaction utilization on communication competence in intercultural contexts, and whether trust in AI recommendations and instructor AI pedagogical competence strengthen this indirect effect. Survey data from 427 students in Wuhan, Xi’an, and Hangzhou were analyzed using PLS-SEM. Results revealed a significant direct effect of AI utilization on intercultural competence (β = 0.292) and a complementary enjoyment-mediated pathway (β = 0.051). Both trust and instructor competence amplified the indirect link. The model explained 34.7% of the variance in intercultural competence, offering empirical guidance for AI-rich, globally connected campuses.

Indexed as

Artificial IntelligenceCommunicationCultural CompetencyStudentsTrustChinaEast Asian PeopleFemaleHumansLearningAI-mediated interaction utilizationAI-mediated learning enjoymentBroaden-and-build theoryCommunication competence in intercultural contextsInstructor AI pedagogical competenceTrust in AI recommendations

Identifiers

PMID41429860
PMCPMC12749189

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.