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Record W2923733900 · doi:10.1002/cbe2.1181

Implementing competency‐based education for athletic therapy in Canada—Are we ready for change?

2019· article· en· W2923733900 on OpenAlexaffabout
Mark R. Lafave, Richard DeMont

Bibliographic record

VenueThe Journal of Competency-Based Education · 2019
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsConcordia UniversityMount Royal University
Fundersnot available
KeywordsAccreditationCompetence (human resources)CertificationMedical educationContext (archaeology)PsychologyPedagogyQualitative researchAthletic trainingInterpretative phenomenological analysisPolitical scienceMedicineSociologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Context In 2013, the Canadian Athletic Therapists’ Association (CATA) Education Task Force made recommendations for future athletic therapy education in Canada with 10 consensus statements. Little progress has been reported to date, particularly on two statements: implementation of competency‐based education (CBE) and establishing a valid, reliable, feasible, and financially viable practical national certification examination (NCE). Objective We sought to understand the perspectives of CATA program directors (PDs) as it related to implementation of CBE and potential abolishment of the practical examination. Methods A qualitative, phenomenological approach was employed to better understand the athletic therapy program directors’ lived experiences as it related to CBE implementation in their own educational institutions. Secondarily and related to understanding this phenomenon, we sought to understand PD perspectives on taking over the responsibility for establishing competence for their graduates as a surrogate to replace the practical NCE. Semi‐structured interviews took place with the seven PDs or all CATA‐accredited programs. Interviews were transcribed and analyzed for themes. We (ML and RD) independently and blindly established themes and later met to discuss the themes that emerged from the interviews. Results Four key themes emerged from the analysis: (a) definition of CBE; (b) national standards; (c) trust; and (d) collaboration. Discussion Each of the themes that emerged had the commonality that all were barriers to implement CBE. Some PDs did not think they were currently offering CBE, yet described many of the key features of CBE. A definition and national standard would help to progress the implementation of CBE.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.438
Teacher spread0.347 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2019
Admission routes2
Has abstractyes

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