RELATIONSHIP BETWEEN JOB SATISFACTION AND TEACHER WORK PERFORMANCE
Bibliographic record
Abstract
The government is very concerned about issues related to schooling because the results of education today will shape our generation in the future. In this regard, the government takes seriously the aspect of national education and implements various initiatives to improve the effectiveness and excellence of schools through one of the aspects contained in the strategic thrust of the Malaysian Education Development Plan (PPPM) 2013-2025 which is focused on the quality of student academic achievement as the main agenda of education reform. Therefore, in an effort to improve and enhance work performance among teachers, there are related issues that need to be emphasized. Teacher job performance gaps are examined and given emphasis from the aspect of job satisfaction, Therefore, this study aims to identify the relationship between job satisfaction factors and teacher job performance. The population of this study consisted of teachers at Sekolah Menengah Kebangsaan (SMK) in the education sector in the northern region, Peninsular Malaysia. However, for this study, the focus is given to the two locations of the states involved, are Perlis and Kedah. This location was chosen because the schools involved in this study are under one education system that implements the same policies and policies and the implementation of curricular and co-curricular activities is also the same. In fact, the schools involved in this study also received allocations and financial assistance in almost the same amount for the whole country (Ministry of National Education, MOE). For research purposes, this study used the questionnaire distribution method. While the process to analyze the data is using Statistical Packages for Social Science (SPSS) Version 24. The results of the analysis found that job satisfaction has a significant positive relationship with teacher work performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".