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Record W2544681825 · doi:10.5430/jnep.v7n3p68

Feedback of undergraduate nursing students about objective structured practical examination

2016· article· en· W2544681825 on OpenAlexvenueno aff
Amira Saed, Nagwa Ibrahim Abbas

Bibliographic record

VenueJournal of Nursing Education and Practice · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsNursingPsychologyMedical educationMedicine

Abstract

fetched live from OpenAlex

Background : An essential part of a nursing curriculum is an accurate clinical assessment of nursing students’ skills. The objective structured practical examination (OSPE) is the modified version of the Objective Structured Clinical Examination (OSCE) used for a summative assessment of practical knowledge and skills in nursing education. Aim: The current study was undertaken to evaluate the performance and feedback of undergraduate nursing students about OSPE. Methods : A cross sectional study design was carried out on the students who participated in the OSPE, which was done at the Faculty of Nursing, Tanta University, Egypt. The study included students enrolled in fundamental, medical surgical, critical care nursing, obstetric, and pediatric nursing course. 100 students from each branch were asked to fill structured questionnaire after OSPE. Results : Overall there were no significant differences in the mean score of students' opinion in relation to the structure and format of examination, conduct of examination, and evaluation of examination compared with the four departments (pediatric, obstetric, fundamental, medical surgical and critical care nursing) ( p = 1.000). Conclusions : Students in pediatric, obstetric, fundamental, medical surgical and critical care nursing departments preferred OSPE for evaluating clinical skills and perceived it as more organized, objective, structure, valid, and less anxious. Student’s feedback was invaluable regarding need more time at each station. Also, students argued several suggestions for enhancing quality of OSPE in assessing process.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.071
GPT teacher head0.479
Teacher spread0.408 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations6
Published2016
Admission routes1
Has abstractyes

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