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Record W3011459091 · doi:10.5539/ies.v13n4p94

Analyzing Motor Development and Emergent Literacy Skills of Preschool Children

2020· article· en· W3011459091 on OpenAlexvenueno aff
Fatma Özkür

Bibliographic record

VenueInternational Education Studies · 2020
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsMotor skillPsychologyLiteracyDevelopmental psychologyReading (process)Scale (ratio)Emergent literacyLanguage developmentMathematics educationPedagogy

Abstract

fetched live from OpenAlex

Children start to gain basic literacy skills during preschool that they will constantly be depended on for their academic activities in primary school. Through learning shoulder girdle strength, fine motor skills, and eye-hand coordination, the foundation of motor skills is developed. Examining the effects of motor skills on emergent literacy skills could provide helpful information on the associations among motor and, reading and writing development. The purpose of this study was to analyze 5 years old children’s motor development and emergent literacy skills. The sample of the study consisted of 160 preschool children from main district of Istanbul. Dumans TMB scale and OYHB scale was used for data collection purposes. Results showed that majority of the preschool children (68%) participated in the study had insufficient level of emergent literacy skills. This group’s motor development score was also significantly lower than instructional group. Pearson correlation analysis showed that there was a positive and medium level correlation between the scores of motor development and emergent literacy in both groups. It has been suggested that preschool children’s motor skills should be taken into account for their emergent literacy skills development.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.025
GPT teacher head0.360
Teacher spread0.334 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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