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Record W2733046491 · doi:10.5430/jnep.v7n11p111

Assessment of nursing students in clinical practice - An intervention study of a modified process

2017· article· en· W2733046491 on OpenAlexvenueno aff
Rita Baumgartner, Cecilia Häckter Ståhl, Katri Manninen, Ann‐Marie Rydholm Hedman

Bibliographic record

VenueJournal of Nursing Education and Practice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsData collectionIntervention (counseling)NursingProcess (computing)Qualitative propertyPsychologyDescriptive statisticsMedical educationNurse educationClinical PracticeNursing practiceNursing processMedicineComputer science

Abstract

fetched live from OpenAlex

Objective: To evaluate an intervention of a modified assessment process for nursing students in clinical practice and how this process was experienced by the nursing students and their supervisors.Methods: An intervention study with a descriptive approach. The data collection was conducted in two phases with a survey and follow-up group interviews. Participants were second-year nursing students and their nursing supervisors. Descriptive statistics were used for the quantitative data (survey) and qualitative content analysis for the qualitative data (tape-record and transcribed interviews). Mixed method was used to integrate all data.Findings: The survey response rate was 65% (n = 41 students) and 100% (n = 9 supervisors). Students and supervisors found the assessment tool applicable for the assessment process. Assessment through dialogue and Supportive learning environment, describe how the modified assessment process was experienced.Conclusions and implication for clinical practice: It is important that the supervisors understand the learning goals and assessment criteria and how to use the assessment tool. Clear structures based on learning goals and assessment criteria as well as their own strategies to reach their goals benefit student learning. Strategies need to be developed to facilitate the assessment process when the teachers from the university have a consulative role. The new assessment tool and changing the university teachers’ involvement can be seen as a form of professional development of the supervisors’ group as they take greater responsibility in conducting the assessment of nursing students in clinical practice.

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)0.010
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.264
GPT teacher head0.656
Teacher spread0.392 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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