The procedure in the classroom setting by which nursing faculty construct academic accommodations for undergraduate nursing students with learning disabilities: A scoping review
Bibliographic record
Abstract
Background and objective: A scoping review was conducted to determine what is currently known about the procedure in the classroom setting by which nursing faculty construct academic accommodations for undergraduate nursing students with learning disabilities. The number of nursing students with disabilities is growing, and nursing students with identified learning disabilities require academic accommodations to facilitate their success. Effective understanding of the academic accommodation procedure by faculty is necessary to promote student success and inclusive learning environments within nursing education.Methods: The framework from Arksey and O’Malley was used to identify gaps in the literature related to the procedure in the classroom setting by which nursing faculty construct academic accommodations for students with learning disabilities.Results: The themes of faculty attitude, previously used accommodations, and lack of understanding of the procedure of accommodation implementation were derived from the literature.Conclusions: Current research fails to adequately answer the research question related to the procedure by which nursing faculty in the classroom setting construct academic accommodations for students with learning disabilities. Further research into the procedure by which faculty make academic accommodations in the nursing education classroom is needed.
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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 | 0.026 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.015 | 0.014 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".