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Record W4408596928 · doi:10.5539/jel.v14n4p317

Developing a Model to Improve the Professional Competence of Rural Kindergarten Teachers in Guangxi

2025· article· en· W4408596928 on OpenAlexvenueno aff
Xiang Ao, Suwat Junsuwan

Bibliographic record

VenueJournal of Education and Learning · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEducational Reforms and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)PsychologyProfessional developmentMathematics educationPedagogyFaculty developmentMedical educationMedicineSocial psychology

Abstract

fetched live from OpenAlex

The development of early childhood teachers’ professional competence aims to equip them with accurate knowledge and understanding of learning management, as well as the ability to effectively organize learning experiences. The researcher is therefore interested in developing the professional competence of kindergarten teachers in rural areas with the objective of 1) To investigate components and indicators, 2) To explore the Current condition, desired condition, and 3) To develop a model to improve the professional competence of rural kindergarten teachers in Guangxi. This research was divided into 3 phases: Phase 1: To investigate components and indicators of the Professional Competence of Rural Kindergarten Teachers in Guangxi and five experts evaluated them for suitability purposive Sampling. Phase 2: To explore the Current condition, desired condition, and priority needs index of the professional competence of rural kindergarten teachers 399 samples from rural Guangxi multi-stage Sampling. Phase 3: Developing a model to improve the professional competence of rural kindergarten teachers in Guangxiand and five experts evaluated them for suitability purposive Sampling. The research tools were a questionnaire, evaluation form, and interview form. The statistics used were percentage, average, standard deviation, and analysis of the Priority Needs Index (PNImodified). The results were found that 1. The components and indicators of the professional competence of rural kindergarten teachers. There are 7 components, and 23 indicators as followed; 1) Environment creation and utilization competence with 2 indicators, 2) Daily life organization and conservation competence, 3) Game activity support and guidance competence, 4) Educational activity design and implementation competence, 5) Incentive and evaluation competence, 6) Communication and cooperation competence, 7. Reflection and development competence. The results of the suitability evaluation of the highest level. 2. The current condition of the professional competence of rural kindergarten teachers at a moderate level. The desired conditions are presented at the highest level. The priority needs of professional competence of kindergarten teachers in rural Guangxi from most to the lowest: 1) reflection and development competence; 2) environment creation and utilization competence; 3) game activity support and guidance competence. 3. The model consists of 1) principles, 2) objectives, 3) contents and methods 4) evaluation, and 5) conditions for success. The results show that the model is useful and suitable, and the possibility of fruit is highest. The evaluation of a model of the Professional Competency of Rural Kindergarten Teachers in Guangxishowed that the model was useful and feasible for application at a highest.

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 score0.270
Threshold uncertainty score0.099

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 head0.015
GPT teacher head0.319
Teacher spread0.304 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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