The Relationship Between Time Management and Work Stress Among Members of Educational Planning in the General Directorates of Education in the Sultanate of Oman
Bibliographic record
Abstract
The study aimed to examine the relationship between time management and work stress among the educational planning members in the General Directorate of Education in the Sultanate of Oman. It also aimed to identify whether there are statistically significant differences in time management and job stress among the participants with regard to the years of experience. The study sample consisted of 39 educational planning members. They completed the Time Management Behaviors Scale and Workplace Stressors Assessment Questionnaire. One of the main findings of this study was that the level of time management among the subjects was high, while the level of job stress was low. Results also showed a moderate and negative correlation between time management and job stress. No statistically significant difference in time management and job stress with regard to the years of experience was found. The results also supported the proposed theoretical model of the study. Based on the findings, the study recommended making use of the techniques that the participants apply to manage their time and to alleviate the workplace stressors they face. Furthermore, the education officials should pay more attention to enhancing the concept of time management by holding training courses and workshops for the ministry employees in order to increase their productivity, enhance job satisfaction, and reduce work pressures.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".