Evidence map›Paper›PMID 42719134›Full record

ArticleFrontiers in psychology2026

Computer self-efficacy and perceived knowledge application in generative AI-supported learning: a cross-sectional parallel mediation analysis.

Yan Cheng, Haibo 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

2 authors.

Yan ChengSchool of General Education, Shandong Huayu University of Technology, Dezhou, China.
Haibo LiuDezhou Information Engineering Secondary Vocational School, Dezhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examined whether human-AI synergy (HAS) and autonomous learning technology use (ALT) mediated the association between computer self-efficacy (CSE) and perceived knowledge application ability (KAA). Methods: A cross-sectional survey of 801 undergraduates from five higher education institutions in Shandong Province, China, was analyzed using confirmatory factor analysis, structural equation modeling, and bootstrapping. Results: CSE was positively associated with HAS and ALT. ALT showed a positive indirect association with perceived KAA, whereas HAS showed a negative conditional indirect association. The direct CSE-KAA association was not significant after including the mediators. Conclusion: CSE was associated with perceived knowledge application through two opposite indirect pathways. The negative HAS coefficient should be interpreted cautiously because HAS measured collaboration rather than cognitive offloading, and KAA was self-reported.

Indexed as

autonomous learning technology usecomputer self-efficacygenerative artificial intelligencehigher educationhuman–AI synergyparallel mediationperceived knowledge application

Identifiers

PMID42719134
PMCPMC13553910

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.