The influencing factors of absenteeism among nursing students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The absence of nursing students from classrooms and clinical has a negative impact on their performance and prolongs the length of their studying. The aim of this study is to identify the influencing factors of absenteeism among nursing students at Minia University. This study was conducted at the Faculty of Nursing at Minia University, and Minia University Hospitals. The sample of students that participated in the study represented all academic levels as follows: first level 49/370, second level 49/292, third level 52/248, and fourth level 50/220. Data were collected with the use of a self-administered questionnaire. This study revealed that influencing factors of absenteeism among the studied nursing students indicated that the highest mean scores were associated with teaching factors, followed by assessment factor where means scores were (18.3 ± 4.5, and 17.1 ± 5.6, respectively). Also, the lowest mean score reported was associated with social problems (mean = 8.9 ± 3.2). This study concluded that the most common contributory factors in student absenteeism were related to teaching factors including a shortage of staff in the clinical area, and lack of understanding of the lecture content. Recommendations: Providing a safe learning environment, keeping accurate records of attendance and calculating absenteeism rates at frequent intervals are required for identifying each individual’s pattern of attendance.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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) | 0.000 | 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 it