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Record W1981619485 · doi:10.2202/1548-923x.1893

Perceptions of a Peer Learning Approach to Pediatric Clinical Education

2010· article· en· W1981619485 on OpenAlex
Patrycja Chojecki, Jennifer Lamarre, Madeleine Buck, Isabelle St-Sauveur, Nadia Eldaoud, Margaret Purden

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsFacilitationMedical educationNoveltyPerceptionPsychologyNurse educationPeer learningQualitative researchNursingMedicinePedagogy

Abstract

fetched live from OpenAlex

With changing trends in the acute pediatric setting, there is concern that nursing students are not provided with sufficient opportunities to develop required clinical competencies. Peer learning can assist students in achieving learning objectives through efficient and effective use of limited resources. In this study the perceptions of students and clinical instructors in their use of peer learning are described. A qualitative descriptive design with semi-structured interviews was used. A convenience sample included nursing students (n=10) and clinical instructors (n=2). Participants had overall positive experiences with formalized peer learning. The novelty of a learning approach, support, communication and the facilitation of learning were the common emerging main themes; with several subthemes also identified. The results highlighted how the learning process was influenced by the students' status as novice nurses and how peer learning provided much needed emotional and physical support. Implications for clinical education are discussed.

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.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.099
GPT teacher head0.504
Teacher spread0.405 · 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