Challenges and motivators influencing the academic performance of English as an additional language (EAL) nursing students: the perspectives of the students.
Bibliographic record
Abstract
Canada's rising immigrant population has led to an increasing number of nursing students for whom English is an"additional language" (EAL). Although many of these students are successful academically, there is a persistent small number who struggle due to their limited English-language skills and their different cultural knowledge and practices. Despite the difficulties they experience, the students' desire to enter the nursing profession remains strong. A qualitative study was undertaken to identify factors that influence these students' academic performance from the perspectives of the students themselves and their instructors. Fourteen EAL nursing students were interviewed. Analysis of the interview data revealed factors that influenced the students' experiences in their nursing programs.The authors describe the students' perspectives on the challenges and motivators they encountered in their nursing programs. They also recommend strategies that could help EAL students to achieve success in their nursing studies.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".