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Record W4412943822 · doi:10.1080/00220671.2025.2540889

Parental involvement in STEM: Impact on preschoolers’ mathematical-computational thinking and creativity

2025· article· en· W4412943822 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Educational Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsCreativityPsychologyDevelopmental psychologyComputational thinkingMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

Parental involvement can support early cognitive skills, but its role in STEM education is not well understood. This study examines the impact of parental involvement in early childhood STEM education on mathematical-computational thinking and creativity in 5-year-old children. Using a quasi-experimental design, 28 preschoolers were divided into intervention and comparison groups. The intervention group participated in a 16-week structured STEM program, which included classroom activities and home-based tasks with parents. Data were collected using the Preschool Mathematical and Computational Thinking Observation Form and the Integrated Creative Test for Preschoolers-Creative Thinking Ability Section. Pretest scores showed group similarity, while post-test results revealed significant improvements in mathematical-computational thinking and creativity within the intervention group. Wilcoxon Signed Rank and Mann–Whitney U tests confirmed these findings, demonstrating a large effect size. The results highlight the importance of structured parental involvement in STEM education and provide insights into designing accessible home–school learning environments.

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.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.047
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.174
GPT teacher head0.502
Teacher spread0.328 · 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