MétaCan
Menu
Back to cohort
Record W4395111276 · doi:10.5539/hes.v14n2p88

Development Guidelines for Executive Function (EF) Skills in Early Childhood: Needs Assessment in Nonthaburi Kindergartens

2024· article· en· W4395111276 on OpenAlexvenueno aff
Monticha Uraipong, Nattika Penglee, Thananun Thanarachataphoom, Natrapee Polyai

Bibliographic record

VenueHigher Education Studies · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
FundersNational Research Council of Thailand
KeywordsPsychologyExecutive functionsFunction (biology)Early childhoodDevelopmental psychologyCognitionMathematics education

Abstract

fetched live from OpenAlex

Executive function skills are crucial for children in the 21st century, serving as indicators of their readiness for learning. Children with well-developed executive function skills can effectively accomplish various tasks, solve problems using diverse strategies, and collaborate with others happily. This research aims to: 1. Identify the necessity for fostering executive function skills among early childhood students in Nonthaburi Province. 2. Analyze the causes underlying the necessity to promote executive function skills in early childhood students. 3. Propose strategies to enhance executive function skills in early childhood students. The research consists of two phases. Phase 1 involves identifying the necessity for developing executive function skills among early childhood students, with a sample group comprising 12 volunteer kindergarten teachers randomly selected from 12 classrooms and 328 early childhood students aged 5 to 5 years 11 months (162 boys and 166 girls). The research instrument used is the MU.EF-101 assessment. Data analysis involves calculating the mean and standard deviation of T-scores for working memory, inhibitory control, and shift/cognitive flexibility. Phase 2 analyzes the causes of necessity and proposes strategies to promote executive function skills in early childhood students. The data sources for this phase are 12 teachers, and the research instruments include fishbone diagram recording forms and group discussion recording forms. Findings suggest that parental involvement is crucial in training children to perform tasks independently and in teaching children patience. Additionally, teachers should analyze children's behaviors to plan appropriate learning activities based on their context. Teachers must encourage children to think and make decisions independently, encourage when mistakes occur, and ensure the availability of suitable tools and toys that promote the development of executive function skills in early childhood students, which teachers or parents can conveniently utilize.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.095
GPT teacher head0.396
Teacher spread0.301 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHigher Education StudiesSame topicNeuroscience, Education and Cognitive FunctionFrench-language works237,207