Evidence map›Paper›PMID 41788266›Full record

ArticleFrontiers in psychology2026

The relationships among learning engagement, continuous improvement attitude and creativity performance: a study based on a C-STEAM course.

Chen Qian, Jian-Hong Ye, Lin Zhang, Lei Wang

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

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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.

Chen QianCollege of Design and Innovation, Zhejiang Normal University, Jinhua, China.
Jian-Hong YeFaculty of Education, Beijing Normal University, Beijing, China.
Lin ZhangSchool of Education, Binzhou Polytechnic, Binzhou, China.
Lei WangBusiness School, Jinhua University of Vocational Technology, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the context of new quality productive forces in China, promoting innovative transformation of local culture by using high levels of technology has become a hot topic. However, there have been few empirical studies exploring the influence of interdisciplinary cultural inheritance and innovation on students' learning outcomes. Hence, in this study, we recruited 130 students from a higher vocational college in China, for whom a local culture-based science, technology, engineering, art and mathematics (C-STEAM) art and design course was established. Methods: By adopting a single-group pre-post intervention design, a model comprising seven hypotheses based on learning engagement theory was developed. To understand the cognitive and emotional responses of students after taking the course, the learning engagement scale and continuous improvement attitude scale were utilized. Creativity performance analysis was used as a measuring tool to gain insights into the changes in students' knowledge and skills, as well as the overall learning effectiveness after their participation in the course. Results: According to the research results, receiving 72 h of theoretical and practical packaging training positively influenced the students' interdisciplinary literacy and continuous improvement attitudes. Students with higher learning engagement showed better continuous improvement attitude and creativity performance, and students with better continuous improvement attitude had better creativity presentation. Discussion: By maximizing the close integration of interdisciplinary knowledge into the teaching subject, this study promotes the high-precision cultivation of art talents, provides support for the academic community from an art design perspective, and innovates the inheritance and development of Chinese culture.

Indexed as

art designChinese culturecreativity performanceC-STEAM educationdesign educationinterdisciplinary educationShangshan Culturetraditional Chinese culture

Identifiers

PMID41788266
PMCPMC12956631

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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.