MétaCan
Menu
Back to cohort
Record W4206573208 · doi:10.36021/jethe.v4i3.232

Play in Three Acts

2022· article· en· W4206573208 on OpenAlexaff
Michelle Yeo, Mark R. Lafave

Bibliographic record

VenueJournal of Effective Teaching in Higher Education · 2022
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsMount Royal University
Fundersnot available
KeywordsCurriculumPedagogyReflection (computer programming)Reflective practicePsychologyPresentation (obstetrics)PerceptionProcess (computing)InstitutionMedical educationSociologyComputer scienceMedicine

Abstract

fetched live from OpenAlex

In some fields, written reflection is commonplace whereas in others it is uncommon. While athletic therapy education aims to produce reflective practitioners, written reflection is not a typical pedagogy employed. In 2014, the athletic therapy program at our institution began the implementation of a clinical presentation (CP) approach to facilitate competency-based curriculum requirements. This innovation to pedagogy required a reimagined approach to teaching, learning, and assessment. We describe one aspect of a larger SoTL study on this transformation, inquiring into the development of reflective practice through reflective writing. Students were asked to regularly reflect on their experiences in the clinic or field as part of their program. In this qualitative component of the study, we were able to gain insight into how students perceived the reflective process, how that evolved over their program, what were enablers and barriers to their reflection, and what was the role of feedback in their learning. The characteristics of student perceptions in each year, which followed a learning arc which we describe sequentially as “confused, conflicted, and convinced,” is explored, along with implications for pedagogy in assisting students to develope reflective professional practice.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.054
GPT teacher head0.462
Teacher spread0.408 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Effective Teaching in Higher EducationSame topicNursing Roles and PracticesFrench-language works237,207