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Record W2130515072 · doi:10.5430/jnep.v3n8p113

Students learning in clinical practice, supervised in pairs of students – a phenomenological study

2013· article· en· W2130515072 on OpenAlexvenueno aff
Hanna Holst, Ulrica Hörberg

Bibliographic record

VenueJournal of Nursing Education and Practice · 2013
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsLifeworldPsychologySupervisorProcess (computing)Space (punctuation)Reflective practiceNursingMathematics educationMedical educationPedagogyMedicineComputer scienceSociology

Abstract

fetched live from OpenAlex

Background: Clinical studies have an important position in Nursing Education, it is thus important to develop the learning strategies of students in order to facilitate their learning process during the clinical practice. The aim of the study is to describe the process of students’ learning towards their profession, when supported by supervision in pairs. Methods: Data has been collected through interviews of students during their clinical studies. The study has been carried out with a Reflective Lifeworld Research (RLR) approach founded on phenomenological traditions. The clinical settings are based on the model of the Developing and Learning Care Unit that has a structure that supports students in their learning towards becoming nurses. Results: Results show that structured supervision is favourable for students learning, where pair of students, space and time play a significant role. The results are illustrated in following themes: The significance of responsibility for learning, the strength and sensitivity in pairs of students, the focus on doing, the significance of the attitude of the supervisor, the vulnerability and potential of the learning environment and Reflection as a possibility and a pre-requisite. Conclusions: The study shows that the conduct of supervising in pair of students is of great importance for students’ learning and it is thus important to develop a reflective supervising approach and also knowledge of how to support students’ learning.

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)0.005
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.023
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 integrity0.0000.001
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 head0.124
GPT teacher head0.528
Teacher spread0.403 · 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 designObservational
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

Citations23
Published2013
Admission routes1
Has abstractyes

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