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Record W4412605715 · doi:10.1080/03004430.2025.2533344

Parent–child conflict and learning problems in Chinese preschoolers: the role of classroom self-regulation and teacher–child closeness

2025· article· en· W4412605715 on OpenAlexaff
Jingjing Zhu, Shiyao Zou, Zhenzhen Zhang, Mowei Liu, Yan Li

Bibliographic record

VenueEarly Child Development and Care · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsTrent University
FundersNational Social Science Fund of China
KeywordsPsychologyClosenessDevelopmental psychologySelf-controlSocial psychology

Abstract

fetched live from OpenAlex

The current study focuses on the role of classroom self-regulation in the links between parent–child conflict and learning problems, as well as the potential moderating role of teacher–child closeness among preschool children in China. Participants were 208 children aged 3–6 years old (110 boys, 52.9%, Mage = 58.96 months, SD = 5.21) recruited from 2 kindergartens in Shanghai. Mothers rated parent–child conflict, while teachers evaluated children’s learning problems, classroom self-regulation, and teacher–child closeness. Controlling for gender and age, we found that: (1) parent–child conflict significantly and positively predicted children’s learning problems; (2) children’s classroom self-regulation played a partial mediating effect in the relationship between parent–child conflict and children’s learning problems; (3) both the direct effect of parent–child conflict on preschoolers’ learning problems and the mediating effect of classroom self-regulation were moderated by teacher–child closeness. The findings indicate that parent–child conflict is crucial in moulding the learning problems of young children.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.244
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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