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Record W4366774535 · doi:10.6007/ijarped/v12-i2/16419

“If I Had I Would”: Discovering Barriers in Implementing Centre-based Sexuality Education among Malaysian Preschool Teachers

2023· article· en· W4366774535 on OpenAlexaff
Annie Wong Kai Sze, Wan Norfadillah Binti Wan Nawi, Voon Shi Jing, Lim Yeong Yeong, Yip Chan Ling

Bibliographic record

VenueInternational Journal of Academic Research in Progressive Education and Development · 2023
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsThematic analysisCompetence (human resources)PsychologyEarly childhood educationHuman sexualityContext (archaeology)Early childhoodPerceptionSociocultural evolutionPedagogyMedical educationDevelopmental psychologyQualitative researchMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

Teacher-related factors are among significant barriers in implementing centre-based sexuality education (SE). While there is an expanse of literature on SE implementation in schools, literature on its implementation in early childhood settings is scarce, especially in the Malaysian context. This study was conducted in stages and the findings that are discussed here are from the second stage that aims to discover barriers preschool teachers face when implementing SE. Thematic analysis of semi-structured telephone interviews of 20 experienced private preschool teachers reveal two major barriers; personal beliefs and competency. Low parental acceptance and lack of support from administrators are barriers of preschool teachers’ personal beliefs. Lack of exposure, confidence and knowledge, and inadequate SE training are barriers of preschool teachers’ competency. Findings imply that advocating for more meaningful implementation of SE requires targetted and practical SE training in order to overcome sociocultural perceptions and enhance teaching competence.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.139
GPT teacher head0.555
Teacher spread0.416 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Academic Research in Progressive Education and DevelopmentSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207