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Record W3198138327 · doi:10.3138/jvme-2021-0070

How Do Veterinary Students Engage When Using Creative Methods to Critically Reflect on Experience? A Qualitative Analysis of Assessed Reflective Work

2021· article· en· W3198138327 on OpenAlexvenueno aff
Elizabeth Armitage‐Chan, Stefanie Reissner, Elizabeth Jackson, April A. Kedrowicz, Regina Schoenfeld‐Tacher

Bibliographic record

VenueJournal of Veterinary Medical Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
FundersRoyal Veterinary College
KeywordsEmpathyPsychologyDepictionReflection (computer programming)NarrativePsychological resilienceReflective practiceStorytellingCreativityCreative workIdentity (music)Critical Incident TechniqueCritical thinkingPedagogySocial psychologyAestheticsComputer science

Abstract

fetched live from OpenAlex

Critical reflection-the exploration and questioning of one's experience, beliefs, assumptions, and actions-supports resilience, empathy, the management of uncertainty, and professional identity formation. Yet for many students and educators, the techniques to engage in critical reflection are elusive. Creative methods that foster engagement with emotional and uncertain aspects of experience reportedly help some students to reflect at a more critical level than when they use reflective writing, and this study explores more deeply the experiences of such students, who used creative methods to critically reflect on challenging or troubling past events. A narrative methodology was utilized, in which researchers collaboratively co-constructed an understanding of students' experiences of reflection to identify the activities and steps they used. Creative methods did not inherently lead to critical reflection, but when this was achieved, the creative approaches seemed to facilitate a staging of reflection, which incorporated five sequential stages: preplanning creative depiction, experimenting with different ideas, deliberately completing the reflective piece, reflecting on creative work, and reflecting again on learning and development. This cyclic, repeated revisit to experience, as students engaged in each stage of their work, appeared to facilitate both a deep connection with the emotional elements of experience and a more distanced analysis. This ultimately led to a deepening of understanding of events, including the construction of students' own beliefs and empathy with others' views.

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)0.008
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.313
GPT teacher head0.660
Teacher spread0.348 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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