MétaCan
Menu
Back to cohort
Record W3006589367 · doi:10.1080/21594937.2020.1720127

Building executive function in pre-school children through play: a curriculum

2020· article· en· W3006589367 on OpenAlex
Lara A. Coelho, Alycia Amatto, Claudia L. R. Gonzalez, Robbin Gibb

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

VenueInternational Journal of Play · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of AlbertaUniversity of Lethbridge
Fundersnot available
KeywordsCurriculumCognitionPsychologyExecutive functionsControl (management)Medical educationDevelopmental psychologyMathematics educationPedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

Executive function (EF) is a term that defines a group of cognitive abilities fundamental to goal-directed behaviour. EF is a strong predictor of both academic and life success. Therefore, it is important to develop EFs in the early years of life. We created a curriculum of games (BBF) for preschool children that focused on improving EFs. The purpose of the study was to assess the curriculum's impact. We asked the parents of 86 children to respond to three surveys. The majority (72) of these children participated in the BBF curriculum, while 14 were in a control group. These surveys were given twice; pre- and post-curriculum implementation. We found significant improvements in various behaviours measured by the three questionnaires in the BBF group that did not occur in the control group. This suggests that the BBF curriculum can be implemented as a programme to improve cognitive abilities in 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.

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)0.000
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 score0.174
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.318
Teacher spread0.303 · 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