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Record W3173119665 · doi:10.9734/jesbs/2021/v34i330316

Influence of Implementation of the Government Policies on Transition Rate of ECDE Children from Public Preschools to Public Primary School in Kapseret Sub County; Uasin Gishu County

2021· article· en· W3173119665 on OpenAlexaff
Njuguna Mary Muthoni, Esther Bitok, Audrey Matere

Bibliographic record

VenueJournal of Education Society and Behavioural Science · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsGovernment (linguistics)Descriptive statisticsScheduleLocal governmentTransition (genetics)Public policyQualitative propertyPsychologyPrimary educationMedical educationMathematics educationPolitical scienceMedicineEconomic growthMathematicsEconomicsPublic administrationStatisticsManagement

Abstract

fetched live from OpenAlex

A child’s transition from public preschool to primary is not a single event of change that has only immediate consequences but has its effects on transition rate. The purpose of this study was to assess influence of implementation of the government policies on transition rate of ECDE children from public preschools to public primary school in Kapseret Sub County; Uasin Gishu County. The study was guided by Jean Piaget’s Construvist theory. The study adopted a descriptive survey design. The researcher sampled 171 respondents; including 86 Grade one; two; three teachers; 57 preschool teachers; and 29 headteachers. The research instruments used were questionnaires and interview schedule. The analysis of data was done using Statistical Package for Social Science (SPSS) software. Data from questionnaires was analyzed both quantitatively and qualitatively. Quantitative method involved descriptive and inferential analysis. Descriptive analysis such as frequencies; percentages were used to present quantitative data in form of tables. Qualitative data from interview schedules were analyzed thematically based on the content of qualitative data and then presented in prose form. The findings were presented in frequency distribution tables. The study findings indicated that implementation of government policies has a positive and significant influence on leaners transition. The study concluded that free primary education policy has improved learners’ transition rate to Grade one. Adoption of Early Years Education Policy has influenced transition to Grade one. Finally; free primary education policy has increased the number of learners in public pre-primary school. The study recommends that primary schools should implement all the government policies by preparing Early Child Development (ECD) children in terms of classrooms; toilets; furniture and adequate qualified teachers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.319
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2021
Admission routes1
Has abstractyes

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