Coach Developers as ‘Facilitators of Learning’ in a Large-Scale Coach Education Programme: One Actor in a Complex System
Bibliographic record
Abstract
The Canadian National Coaching Certification Program (NCCP) redesigned its coaching education programmes to utilise a learner-centred, problem-based approach. The purpose of this paper is to document the design, delivery, and subjective assessment of this large-scale coach education programme through the perspectives of the different actors, with a special focus on the coach developers (CDs) as an essential and important group within the coach education system. A constructivist view of learning, supported by the work of Jennifer Moon on the impact of short courses and workshops, guided this work. Part 1 of the results provides an overview of the studies conducted on the revised NCCP. Part 2 examines the perspectives of 26 CDs concerning their training and experiences delivering the redesigned NCCP. Conclusions include the importance of considering the cognitive structures of the CDs and coach learners; issues related to covering the module content versus addressing coaches’ learning needs; ensuring adequate time for questions and reflection to enable deep learning; specific training for CDs to support post-workshop learning; and the importance of taking a systems approach to coach development that considers all the actors involved in a national programme being delivered at the provincial/territorial or sport organisational level.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".