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Record W2122365622 · doi:10.5480/10-465

Nursing Student Perceptions of Concept Maps: From Theory to Practice

2013· article· en· W2122365622 on OpenAlex
Suzanne Harrison, Caroline Gibbons

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

VenueNursing Education Perspectives · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsPerceptionNursingPsychologyNursing theoryNursing practiceMEDLINEMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

AIM: This qualitative study describes the experience of nursing students who construct and use electronic concepts maps in theoretical and clinical settings. BACKGROUND: Although concept maps are seen as innovative and effective teaching and learning tools, little qualitative data exists that describes the process by which students learn to master the skill of concept mapping. METHOD: A descriptive approach was used to analyze the data collected during 12 semi-structured interviews. RESULTS: Motivated, open-minded students tend to perceive the usefulness of concept mapping, making the experience positive. Workshops, along with constructive feedback, were deemed essential to helping students master the skill of concept mapping. CONCLUSION: The results of this study will contribute to the successful integration of group concepts maps as part of a new competency-based nursing program. Results could also be beneficial to programs that wish to adopt concept mapping.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.472
Teacher spread0.435 · 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