Evidence map›Paper›PMID 42519424›Full record

ArticleFrontiers in psychology2026

Cultural identity as a cognitive buffer: enhancing creative self-efficacy in digital heritage education.

Na Wang, Jingjing Li

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

2 authors.

Na WangDepartment of Art Design and Education, Yantai Vocational College, Yantai, China.
Jingjing LiDepartment of Basic Courses, Yantai Vocational College, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In vocational digital heritage programs, technical complexity is often associated with a heavy cognitive load, which may hinder students from utilizing cultural capital. Drawing on Cognitive Load Theory and the cultural assets framework, this study aims to examine the associations among instructional support, cognitive load, cultural identity, and students' creative self-efficacy (CSE). Methods: A quantitative cross-sectional design was employed. Data were collected from 333 vocational college students using an online survey. A moderated mediation model was evaluated using Structural Equation Modeling (SEM), and the cross-contextual stability of the theoretical model was assessed via multi-group analysis. Results: SEM analysis revealed that instructional support is positively associated with CSE, and this relationship is primarily mediated by perceived cognitive ease (lower cognitive load), with the indirect path accounting for 54.4% of the total relationship. Crucially, cultural identity serves as a significant moderator; the negative association between cognitive load and CSE is weaker among students with strong cultural connections. Multi-group analysis confirmed the consistency of this structural model across different cultural heritage topics. Discussion: These correlational findings support a "Load-Asset Balance" mechanism, suggesting that cultural identity functions as an active psychological resource rather than a mere background variable. Cultivating learners' emotional connection to traditional culture appears as essential as technical scaffolding. Future digital heritage pedagogy should integrate cognitive load management with cultural engagement to support creative confidence.

Indexed as

cognitive load mitigationcreative self-efficacycultural identitydigital cultural heritageinstructional supportMount Tai culture

Identifiers

PMID42519424
PMCPMC13381194

What OpenQuestion holds

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LicenceCC BY
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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.