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Record W7117488541 · doi:10.22219/raden.v5i2.42607

Teachers' well-being and mental health in Indonesia: Does work-related stress mediate the relationship?

2025· article· en· W7117488541 on OpenAlexaff
Heleni Filtri, HARDI HARDI, Nisaul Hasanah

Bibliographic record

VenueResearch and Development in Education (RaDEn) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMental Health and Well-being
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsMental healthPath analysis (statistics)WelfareScale (ratio)Data collectionQuality (philosophy)Stress (linguistics)

Abstract

fetched live from OpenAlex

The quality of learning in the educational process is determined by the quality of teachers, which is characterized by their psychological well-being. In fact, there is still very little research on teachers' psychological well-being and work stress in Indonesia. This study aims to determine the effect of well-being on mental health, mediated by work stress, among teachers in Indonesia. This study is a cross-sectional study. The study involved 201 teachers of all levels in Indonesia using quota sampling. The data collection techniques for well-being, stress, and mental health, using non-test methods, involved valid and reliable instruments. The research data were analyzed using descriptive quantitative analysis, path analysis, and Sobel's test. The path analysis results show that teacher welfare has a direct effect on teacher stress levels. Furthermore, teacher stress levels have a direct impact on teacher mental health, while the stress scale acts as a mediator in the relationship between welfare and teacher mental health. The findings of this study are expected to form the basis for the development of policies and programs for teachers in Indonesia that are more appropriate for improving the welfare and mental health of teachers and educational standards in Indonesia.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.407
Teacher spread0.375 · 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
Published2025
Admission routes1
Has abstractyes

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