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Record W4412822235 · doi:10.1016/j.ecresq.2025.07.006

Measuring executive functions in context: Self-regulating behavior in the kindergarten classroom

2025· article· en· W4412822235 on OpenAlexaff
Jacqueline Maloney, Eva Oberle, Barbara Weber, Kimberly A. Schonert‐Reichl

Bibliographic record

VenueEarly Childhood Research Quarterly · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsContext (archaeology)PsychologyExecutive functionsSelf-controlDevelopmental psychologyContext effectSocial psychologyApplied psychologyCognitionGeographyPsychiatry

Abstract

fetched live from OpenAlex

We examined the utility of two commonly employed measures of executive functions (EFs) to aid early childhood educational researchers in their choice of EF measures and interpretation of results: The Head, Toes, Knees, Shoulders Extended Task (HTKS-E) and the Brief Inventory of Executive Functions – Preschool Version (BRIEF-P). To do so, we examined convergent validity of the two measures, differences in age and gender, and relations to other important classroom variables, such as social and emotional competencies and quality of relationships between kindergarteners and their teachers. We also investigated between-group differences in classroom behaviors and relationships of children who met the clinical cutoff on the BRIEF-P screener of EF dysfunction and those who did not. Both measures of EFs were significantly related to social and emotional competencies and teacher-student relationship quality. We found evidence that EFs are differentiated in kindergarten children and that individual dimensions of EFs are related to different aspects of student classroom behaviors and experiences. Boys were more likely to meet the clinical cutoff on the BRIEF-P; students in this group demonstrated significantly lower scores on the HTKS-E, lower social and emotional competencies, and less closeness with teachers. They also experienced significantly greater aggressive and dysregulated behavior in the classroom and more conflict with teachers. Whereas the HTKS-E was better able to differentiate among children with higher EF proficiency, the BRIEF-P was better able to identify children who may need extra support in the classroom.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.047
GPT teacher head0.347
Teacher spread0.299 · 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.

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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