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Record W4417195968 · doi:10.6007/ijarbss/v15-i12/27082

The Effectiveness of the GATHER Play Module on Children’s Social Skills Learning in Early Childhood Education

2025· article· en· W4417195968 on OpenAlexaff
Yilin Lu, Loy Chee Luen, Tang Tsiao Yin

Bibliographic record

VenueInternational Journal of Academic Research in Business and Social Sciences · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsSocial skillsCurriculumControl (management)Intervention (counseling)Early childhoodEarly childhood educationSocial emotional learningQualitative researchSocial learning

Abstract

fetched live from OpenAlex

This study examined the effectiveness of the GATHER Play Module in enhancing preschool children’s social skills through a qualitative-dominant mixed-method design. Fifty children aged 5–6 were assigned to experimental and control groups, with social skill development assessed across five domains: social emotion, conflict resolution, language expression, cooperation and sharing, and inclusive group play. Quantitative results from pre- and post-intervention checklists demonstrated significant improvements for the experimental group, with exceptionally large effect sizes across all domains, while the control group showed minimal change. Qualitative insights from teacher interviews further confirmed noticeable growth in empathy, verbal expression, autonomous conflict resolution, and collaborative behaviours, alongside increased classroom inclusivity. The convergence of findings indicates that the GATHER Play Module is a highly effective play-based intervention that supports holistic socio-emotional development in early childhood education. Implications highlight the importance of guided play in curriculum design and the need for professional support to ensure sustainable implementation.

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)0.010
metaresearch head score (Gemma)0.002
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 score0.251
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.413
Teacher spread0.386 · 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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