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Record W3216426116 · doi:10.1136/bjsports-2021-ioc.402

438 Does a peer to peer learning technology integrated workshop facilitate neuromuscular training injury prevention program coach learning?

2021· article· en· W3216426116 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePoster presentations · 2021
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsAlberta Children's HospitalAlberta Bone and Joint Health InstituteUniversity of Calgary
Fundersnot available
KeywordsIntervention (counseling)Likert scaleTest (biology)Physical therapyRandomized controlled trialMedical educationScale (ratio)PsychologyApplied psychologyComputer sciencePhysical medicine and rehabilitationMedicineNursing

Abstract

fetched live from OpenAlex

<h3>Background</h3> Workshops are used to educate coaches on Neuromuscular Training (NMT) warm-ups to reduce the risk of youth sport injury. Currently, there is no research assessing different learning strategies and its influence on coaches’ self-efficacy and knowledge after attending a workshop. <h3>Objective</h3> To evaluate whether a peer-to-peer (P2P) learning technology integrated workshop, improved coaches’ self-efficacy and ability to identify NMT exercise errors compared to a standard workshop. <h3>Design</h3> Randomized controlled trial. <h3>Setting</h3> Youth soccer clubs in Calgary, Alberta, Canada. <h3>Participants</h3> Eighty-five recreational youth soccer coaches. <h3>Intervention</h3> Coaches within each club randomly attended one of two workshops offered to learn a NMT warm-up: the intervention workshop (technology-integrated instruction), or control workshop (standard instruction). <h3>Main Outcome Measures</h3> At the end of the workshop, the soccer NMT warm-up exercise test, a video-based test where coaches identify common NMT exercise errors, was completed. At the beginning and end of the workshop, the soccer NMT warm-up self-efficacy scale was completed to assess coaches’ self-efficacy change in their ability to identify NMT exercises errors on a 7-point Likert scale. <h3>Results</h3> Mean NMT warm-up exercise test scores were 72% (SD: 13%) for the control and 71% (SD: 13%) for the intervention workshop. Mean change in NMT warm-up self-efficacy scores were 0.98 (SD: 1.33) for the control and 1.77 (SD: 1.19) for the intervention workshop. Multivariable linear regression analyses indicated that workshop delivery method was not associated with the exercise test score (b= - 3.45, 95% CI: -10.80 to 3.91, R<sup>2</sup>=0.13) but was associated with a greater difference in change of self-efficacy scores for the intervention workshop (b= 0.97, 95% CI: 0.26 to 1.89, R<sup>2</sup>=0.13). <h3>Conclusions</h3> A P2P learning technology integrated instructional workshop did not differentially impact coaches’ ability to identify exercise errors, but it did increase coaches’ self-efficacy in identifying exercise errors compared to a standard workshop.

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.

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)0.000
metaresearch head score (Gemma)0.005
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 score0.683
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.355
Teacher spread0.315 · 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