Evidence map›Paper›PMID 40861359›Full record

ArticleFrontiers in psychology2025

A thematic-cognitive perspective for exploring the writing skills of children: a textual analysis using ENA.

Jianheng Zhang, Tiong-Thye Goh, Dexin Chen, Yuan Gong, Bing Yang, Liqin Pan, Ting Song, Shiqi Yu, Hanzhen Li

Abstract read
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Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Jianheng ZhangSchool of Computer Science, Hubei University, Wuhan, China.
Tiong-Thye GohSchool of Information Management, Victoria University of Wellington, Wellington, New Zealand.
Dexin ChenSchool of Computer Science, Hubei University, Wuhan, China.
Yuan GongSchool of Computer Science, Hubei University, Wuhan, China.
Bing YangSchool of Computer Science, Hubei University, Wuhan, China.
Liqin PanWuhan Changqingshu Experimental School, Wuhan, China.
Ting SongSchool of Foreign Language, Hubei University, Wuhan, China.
Shiqi YuSchool of Education, Hubei University, Wuhan, China.
Hanzhen LiSchool of History and Culture, Hubei University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Primary school is a critical period for children's language development, coinciding with rapid cognitive growth that supports the emergence of writing skills. Understanding how children's cognitive structures manifest in writing is essential for improving instructional strategies. Methods: This study employed epistemic network analysis (ENA) to encode and analyze six years of student writing data. Cognitive network maps were constructed to examine developmental trends and differences across grades and genders from both subject-matter and cognitive perspectives. Results: The analysis demonstrates ENA's effectiveness in visualizing the cognitive features embedded in written texts. Distinct patterns emerged across subjects, grades, and genders, revealing a complex and nuanced cognitive network structure. Discussion: These findings highlight important nuances in children's writing development. Recognizing subject-specific, developmental, and gender-related cognitive differences can inform more personalized and effective writing instruction.

Indexed as

childrenepistemic network analysiswriting abilitywriting educationwriting topic

Identifiers

PMID40861359
PMCPMC12375598

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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.