Evidence map›Paper›PMID 34497554›Full record

ArticleFrontiers in psychology2021

Intelligence Beliefs Predict Spatial Performance in Virtual Environments and Graphical Creativity Performance.

Jon-Chao Hong, Jian-Hong Ye, Mei-Lien Chen, Jhen-Ni Ye, Ling-Wen Kung

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jon-Chao HongInstitute for Research Excellence in Learning Sciences, National Taiwan Normal University, Taipei, Taiwan.
Jian-Hong YeFaculty of Education, Beijing Normal University, Beijing, China.
Mei-Lien ChenDepartment of Industrial Education, National Taiwan Normal University, Taipei, Taiwan.
Jhen-Ni YeGraduate Institute of Technological and Vocational Education, National Taipei University of Technology, Taipei, Taiwan.
Ling-Wen KungDepartment of Industrial Education, National Taiwan Normal University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although intelligence beliefs have been applied to explain the influence of cognition, behavior, and creativity, the research on creativity is still limited. Therefore, in order to effectively expand the understanding of the influence of intelligence beliefs on the creative performance of learners' graphics, the implicit theories of intelligence were exploited as the basis of this study. Three hypothetical pathways were proposed to be explored, and a research model was validated. First- and second-year students from a technical high school in New Taipei City were invited to participate. There were 273 valid data (88.9% of complete data). Reliability and validity analyses were performed, as well as overall model fit analysis and research model validation, and descriptive statistical analysis of the learners' performance in applying the operational virtual reality (VR). The results of this study showed that: (1) Incremental beliefs of aesthetic intelligence had a positive effect on spatial performance; (2) entity belief of spatial intelligence (EBSI) had a negative effect on spatial performance; and (3) spatial performance had a positive effect on graphical design performance. From the results, it is clear that design teachers can assess students' implicit beliefs in the early stages of teaching to actively promote better spatial performance when students show high levels of entity beliefs.

Indexed as

graphical creative performanceimplicit theories of intelligenceintelligence beliefspatial performancevirtual reality

Identifiers

PMID34497554
PMCPMC8419511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.