Evidence map›Paper›PMID 42376156›Full record

ArticleFrontiers in psychology2026

Fostering engagement in the digital age: the mediating role of self-efficacy and self-regulation between enjoyment and learner engagement in AI-assisted EFL writing.

Xiaojing Li, Tao Wang, Wei Wang, Lei Liu

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
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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

4 authors.

Xiaojing LiSchool of International Studies, Zhengzhou University, Zhengzhou, China.
Tao WangSchool of International Studies, Zhengzhou University, Zhengzhou, China.
Wei WangSchool of International Exchange, Shandong Vocational University of Foreign Affairs, Weihai, China.
Lei LiuSchool of International Studies, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The development of artificial intelligence (AI) has created new opportunities for AI-supported foreign language teaching and applications. This study investigates the interrelationships among foreign language enjoyment (FLE), writing self-efficacy, self-regulated learning (SRL) strategies, and learner engagement within the context of AI-assisted English as a foreign language (EFL) writing. Methods: A cross-sectional survey design was employed, involving 535 Chinese university students with prior experience in AI-assisted writing. Participants completed adapted and validated scales measuring FLE, writing self-efficacy, SRL strategies, and learner engagement. Structural equation modeling (SEM) was used to test a hypothesized partial mediation model linking these constructs. Results: The results supported a well-fitting partial mediation model. FLE was found to be a direct and significant positive factor of learner engagement. Furthermore, the analysis confirmed that self-efficacy and SRL strategies act as sequential mediators in the relationship between FLE and engagement. Specifically, FLE is positively associated with learners' self-efficacy, which in turn promotes the use of SRL strategies, ultimately leading to deeper cognitive, behavioral, emotional, and agentic engagement in the writing task. Discussion: The study extends Control-Value Theory, Broaden-and-Build Theory, Social Cognitive Theory, and Self-Regulated Learning Theory to the novel domain of AI-assisted language learning, highlighting the critical affective and cognitive pathways that foster engaged learning. Pedagogical implications are discussed, emphasizing the importance of designing enjoyable, confidence-building, and strategy-rich AI-assisted writing environments.

Indexed as

AI-assisted writingenjoymentlearner engagementself-efficacyself-regulated learning strategies

Identifiers

PMID42376156
PMCPMC13311117

What OpenQuestion holds

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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.