Bibliographic record
Abstract
Problem: Canadian athletic therapy (AT) education is embracing major pedagogical change in transitioning to competency-based education (CBE). The national certification process has recently undergone substantial, and somewhat controversial, changes. Furthermore, new entry-level competencies have been developed for teaching and assessment. A pivotal component of AT education consists of longitudinal placements in the clinic and field contexts of AT. Clinical educators are volunteers, and primarily Certified Athletic Therapists, typically lacking pedagogical experience. Moreover, there appear to be no standardized practices across institutions for supervisory development. There is an absence of published research related to Canadian AT clinical education. Furthermore, clinical educator needs assessments across health professions education have employed various methods. Therefore, this study used a novel mixed-methods approach to understand Canadian AT clinical educators’ needs entering CBE. Method of Study: Interviews (n = 14) and a subsequent survey (n = 123) involving Canadian AT clinical educators were employed within a preplanned exploratory sequential mixed design (Tashakkori et al., 2012). The initial qualitative analysis involved conceptually mapping the content of responses using directed content analysis. The corresponding findings informed survey design. Three data strands resulted from the subsequent analyses. First, the interview findings related to supervisory role were analyzed using phenomenography to discern the different ways of understanding the role. Second, the conceptual map was revisited to identify strengths and barriers to role fulfilment. Third, valued and necessary development topics were identified from the survey results. Finally, the interpretations of the three data strands were mixed, incorporating other relevant findings, to develop AT supervisory support recommendations for CBE. Conclusions: Four different AT clinical educator role conceptualizations were discovered that were hierarchically related, which reflected the extent of variation perceived among six aspects of AT supervision. These findings, combined with three valued and necessary pedagogical skill topics, represent a valuable starting point for AT supervisory development, for which there was high interest. The strengths and barriers informed 14 considerations related to clinical educators’ potential capacity. Lastly, the 13 supervisory support recommendations developed from the clinical educator findings may aid the Canadian AT program directors with transitioning to CBE.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".