Factors affecting the academic performance of student nurses: A cross-sectional study
Bibliographic record
Abstract
The academic performance of the student nurses is by the assessment of competence, defined by a student’s ability to demonstrate the performance of professional skills or behaviors. Despite its predictabilities, there is no study has been undertaken to determine the factors affecting the academic performance of student nurses in the Kingdom of Saudi Arabia. This study employed a quantitative-correlational design. There were 201 student nurses from the College of Nursing at University of Hail selected using convenience sampling. A modified survey questionnaire was utilized to gather data. The said questionnaire was subjected to pilot testing. Content validation and reliability test were conducted using a Cronbach Alpha which revealed a value of 0.940. Four types of factors such teacher-related with a mean 4.16, student-related (3.85), school-related (3.85), and home-related factors (3.54) were observed to have varying extent of effect on the academic performance of student nurses. Likewise age, gender, year level, marital status, socio-economic status and previous school attended by the student nurses showed varying extent of influence on their academic performance. A significant difference in the extent of effect gender has on the academic performance of student nurses as indicated by a t-value of 3.591 been revealed. Whereas, no significant difference was observed on the extent of effect type of school attended had on the academic performance of the student nurses as indicated by a t-value of 0.846; p-value: .398, age (t-value: 1.768; p-value: .155); year level (t-value: 0.530; p-value: .589); marital status (t-value: 1.813; p-value: .166), and socio-economic status (t-value: 0.031; p-value: .970). The identified factors significantly impact on the academic performance of student nurses. This finding is significant as it can be used by school administrators and teachers alike as basis in designing and implementing an intervention program geared towards an improved academic performance among student nurses.
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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".