The impact of the preceptorship program on self-efficacy and learning outcomes in nursing students
Bibliographic record
Abstract
Background: This study aimed to determine the impact of the preceptorship program on self-efficacy and learning outcomes and the association between self-efficacy and learning outcomes in nursing students. Materials and Methods: This quasi-experimental study was conducted on 112 nursing students in 2012–2013. The subjects were selected through convenience sampling from the School of Nursing and Midwifery of Shiraz University of Medical Sciences, Iran. The general self-efficacy scale and the perception of overall learning outcomes scale were used to measure the students' perception of self-efficacy and achievement of learning outcomes. The data were analyzed using Pearson's correlation coefficient and linear regression analysis. Results: The students' mean [standard deviation (SD)] scores of self-efficacy and learning outcomes were 30.69 (5.88) and 4.10 (0.82), respectively, after taking part in the preceptorship program. The results showed a significant association between the mean scores of self-efficacy and learning outcomes (r = 0.30, p = 0.002). In addition, self-efficacy was predicted by gender (β = −0.19, p = 0.030) and the components of “understand ethical aspects of patient care” (β = 0.31, p = 0.010), “work more systematically” (β = −0.44, p = 0.005), and “use of nursing research” (β = 0.34, p = 0.020). Conclusions: Although the nursing students who participated in the preceptorship program demonstrated high mean scores of self-efficacy and learning outcomes, the lack of control group led to the conclusion about the effectiveness of the program to be made in caution. However, this program is suggested to be retained in nursing students' curriculum.
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How this classification was reachedexpand
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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".