Evidence map›Paper›PMID 42495225›Full record

ArticleFrontiers in psychology2026

The association between perceptions of GenAI-mediated feedback for English pronunciation practice and academic engagement: the mediating role of foreign language enjoyment.

Si Zhang, Xin Wang, Xiuyun Song, Yanchao Yang, Zhe Peng, Jie Li, Wenjin Yan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Si ZhangFaculty of International Languages, Qinggong College, North China University of Science and Technology, Tangshan, Hebei, China.
Xin WangFaculty of Digital and Intelligent Economics, Macau Millennium College, Macao, Macao SAR, China.
Xiuyun SongFaculty of International Languages, Qinggong College, North China University of Science and Technology, Tangshan, Hebei, China.
Yanchao YangInstitute of International Language Services Studies, Macau Millennium College, Macao, Macao SAR, China.
Zhe PengSchool of English and International Studies, Beijing Language and Culture University, Beijing, China.
Jie LiSchool of English and International Studies, Beijing Language and Culture University, Beijing, China.
Wenjin YanSchool of English and International Studies, Beijing Language and Culture University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drawing on a multi-theoretical framework integrating Self-Determination Theory, Control-Value Theory, and the Broaden-and-Build Theory, this study developed and empirically tested a conceptual model to examine the relationships among perceptions of GenAI-mediated feedback, foreign language enjoyment, and academic engagement. The model specifically investigates the mediating role of foreign language enjoyment. Data were obtained through convenience sampling from 1,701 valid undergraduate participants at a university in northern China. The proposed model was analyzed using the CB-SEM module in SmartPLS 4.0, and mediation effects were assessed via bias-corrected bootstrap confidence intervals based on 5,000 resamples. Results indicated that perceptions of AI-mediated feedback were positively associated with learners' academic engagement, both directly and indirectly through foreign language enjoyment. These findings highlight the essential role of affective factors in the design and implementation of AI-assisted language learning environments.

Indexed as

academic engagementEnglish pronunciation practiceforeign language enjoymentGenAI-mediated feedbackmediation analysis

Identifiers

PMID42495225
PMCPMC13393427

What OpenQuestion holds

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Registered trials

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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.