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Record W4406396341 · doi:10.1080/10901027.2025.2451225

Using guided constructive play to enhance instructional support in 4-year-old preschool classes

2025· article· en· W4406396341 on OpenAlexafffundabout
Édith Allard, Caroline Bouchard, Vincent Richard

Bibliographic record

VenueJournal of Early Childhood Teacher Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversité Laval
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyConstructiveMathematics educationPreschool educationDevelopmental psychologyEarly childhood educationPedagogyComputer scienceProcess (computing)Programming language

Abstract

fetched live from OpenAlex

The objective of this article is to study the effects of guided constructive play on Instructional Support quality in 4-year-old preschool classes in comparison with free constructive play (i.e. without teaching support). We used an experimental research design with pre and posttest and a control group. Fifteen preschool classes of 4-year-old children in Quebec participated in the study. They were assigned to a control group (n = 7) and an experimental group (n = 8), in which teachers participated in an eight-week intervention on guided constructive play. Data were collected using the Classroom Assessment Scoring System Pre-K. The data were analyzed by mixed repeated-measures ANOVAs and paired t-tests. The results show a statistically significant difference between the pre- and posttest Instructional Support scores, as they increased in the guided play condition. These findings underline the importance of teachers’ support during playtime periods in preschool, specially when children play in the block area.

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)0.001
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 score0.143
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.364
Teacher spread0.345 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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