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Record W4413247278 · doi:10.1080/14623943.2025.2542993

Motivational dynamic of Nursing students toward a structured written reflective activity: a case study

2025· article· en· W4413247278 on OpenAlex

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

VenueReflective Practice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsQuebec Network for Research on AgingUniversité de Montréal
Fundersnot available
KeywordsPsychologyNursingPedagogyMedical educationMedicine

Abstract

fetched live from OpenAlex

Structured reflective activities are used in nursing programs to stimulate students to take responsibility for their own learning, improve their clinical judgment, and gain confidence in their professional role. The aim of this case study was to understand students’ motivational dynamic toward a structured written reflective activity. The case in this study is a reflective activity based on a clinical situation taking place in a mental health practicum in a Bachelor of Nursing program. Semidirected interviews were conducted with students (n = 7), and documents relating to the activity were analyzed. A thematic analysis identified three themes that illustrate the motivational dynamic: Experiences and expectations shape my motivation; Program and activity factors influence my sources and manifestations of my motivation; Some strategies motivate me in the face of the complexity of reflective activity. Students’ understanding of reflective activities appears to be central to this motivational dynamic. It is important to use strategies to encourage students to understand and value reflective practice, in order to stimulate their motivation.

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)0.003
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.003
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 head0.054
GPT teacher head0.519
Teacher spread0.465 · 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