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Record W4401956345 · doi:10.1016/j.teln.2024.07.025

Baccalaureate and practical nursing students’ experience with academic accommodation: A qualitative descriptive study

2024· article· en· W4401956345 on OpenAlexaffabout
Joyce Tsui, Marsha Astrop, Jasmine Balakumaran, T. V. N. Persaud, Carla Grey

Bibliographic record

VenueTeaching and learning in nursing · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsDurham CollegeCentennial CollegeInstitute for Christian StudiesUniversity of TorontoYork University
Fundersnot available
KeywordsAccommodationNursingNurse educationQualitative researchMedical educationDescriptive researchDescriptive statisticsMedicinePsychologySociology

Abstract

fetched live from OpenAlex

• Increased numbers of nursing students using and accessing academic accommodation. • Nursing student experience with accommodation in classroom, lab and clinical environment. • Used to examine our institutional structures and policies to support diverse learners. Based on the National Educational Association of Disabled Students report, there are numerous gaps in supporting students with disabilities. We examined undergraduate students’ experiences with academic accommodation in the nursing program. Presently, there is minimal research that examines the transition of nursing students with academic accommodation needs in higher educational institutions in the classroom, lab, and clinical environment in Canada. A qualitative descriptive design was used to elicit nursing students' experience with academic accommodation in classroom, lab, and clinical practice within higher education. Nine in-depth semi-structured interviews revealed the challenges and barriers nursing students encountered in their academic journey. Three emergent themes were identified: Students’ experience of their academic accommodation journey, the academic accommodation process through the learning accommodation centre, and recommendations from students’ perspectives. The findings from our study have implications relevant in supporting nursing students, understanding students’ academic accommodation experiences and processes, and informing institutional policies within associated degree nursing programs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.088
GPT teacher head0.537
Teacher spread0.448 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes2
Has abstractyes

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