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Record W3036680302 · doi:10.5430/wje.v10n3p79

Analysis of Preschool Period Children's Listening Skill According to Some Variables

2020· article· en· W3036680302 on OpenAlexvenueno aff
Döndü Neslihan Bay, Perihan Tuğba ŞEKER

Bibliographic record

VenueWorld Journal of Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningAttendancePsychologyBirth orderDevelopmental psychologyScale (ratio)Data collectionDemographyPopulationSocial science

Abstract

fetched live from OpenAlex

This research was carried out to determine the listening skill of the children attending pre-school education institutions and to analyze them according to some socio-demographic variables. The research was carried out in the general survey model, one of the quantitative research methods. The sample of the study wascomprised of 429 children attending kindergarten and nursery classin the central districts of Eskisehir and Usak. The data collection tool used in the research was “The Scale for the Evaluation of Preschool Children’s Listening Skill” developed by Özer Özkan and Coşkun (2015). The listening skill of the children were analyzed according to child's age, gender, birth order, number of siblings, school attendance time, and age, education and employment of the parents. The listening skill scores of the children participating in the research were found to be high. It was found that the scale did not differ significantly according to gender, birth order, school attendance time, education level and employment status of the parents, however, it differed according to the age of the child and the age of the parents.Findings obtained from the research were discussed in line with the related literature and suggestions were submitted.

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)0.001
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 score0.057
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.013
GPT teacher head0.296
Teacher spread0.282 · 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
Published2020
Admission routes1
Has abstractyes

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