E-learning modules to enhance student nurses’ perceptions of older people: a single group pre-post quasi-experimental study
Bibliographic record
Abstract
OBJECTIVES: To examine whether e-learning activities on cognitive impairment (CI), continence and mobility (CM) and understanding and communication (UC) improve student nurses' knowledge and attitudes in the care of older adults. METHODS: A quasi-experimental single group pre-post-test design was used. We included 299 undergraduate nursing students for the CI module, 304 for the CM module, and 313 for the UC module. We administered knowledge quizzes, Likert scales, and a feedback survey to measure student nurses' knowledge, ageist beliefs, and feedback on the modules respectively. RESULTS: Participants demonstrated significantly more knowledge and reduced ageist attitudes following the e-learning activities. CONCLUSIONS: Findings suggest that e-learning activities on cognitive impairment, continence and mobility, and understanding and communication improve knowledge and reduce ageist attitudes among nursing students.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".