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Record W2906841454 · doi:10.21432/cjlt27776

Touch Screen Technology: Implementing a Technologically-Enhanced Profiling System for Student Sport Coaches | La technologie des écrans tactiles : mettre en œuvre un système de profilage amélioré par la technologie pour les entraîneurs sportifs en formation

2018· article· en· W2906841454 on OpenAlexvenueno aff
Tom Browne, John Lyle

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2018
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingPsychologyHumanitiesMedical educationArtMedicine

Abstract

fetched live from OpenAlex

This exploratory case study evaluates the implementation and use by student coaches of an innovative coaching profiling system, Touch Screen Technology (TST), to assess coaching behaviours. The study was designed to evaluate the potential of this technologically-enhanced assessment system as a profiling option for gathering, storing, retrieving, and presenting data about coaching competences. The case study documents and evaluates trainee coaches’ (N=100) experiences of using TST during an internship, identifying the advantages and challenges of implementation, and evaluating the potential for coach education and development. Evidence was triangulated from questionnaires, journals, and interviews (N=20). The responses from the coaches were overwhelmingly positive. The touch screen technology, specified assessment criteria, and graphical profiling helped to integrate assessment into the program along with increased awareness and understanding of the assessment process. The students’ subsequent reflections on the components of the coaching process positively impacted their performance. The study concludes that TST has the potential to assist in enhancing the learning process and bridging the gap between education and practice. Attention is drawn to the challenges of implementation.Cette étude de cas exploratoire évalue la mise en œuvre et l’utilisation, par les élèves entraîneurs, d’un système innovateur de profilage d’entraîneurs, la technologie des écrans tactiles (« TÉT »), pour évaluer les comportements des entraîneurs. L’étude a été conçue pour évaluer le potentiel de ce système d’évaluation technologiquement amélioré comme option de profilage pour la collecte, l’entreposage, la récupération et la présentation de données sur les compétences des entraîneurs. L’étude de cas documente et évalue les expériences d’utilisation de la TÉT par les entraîneurs stagiaires (N=100) durant un stage tout en relevant les avantages et les défis liés à la mise en œuvre et en évaluant le potentiel pour la formation et le développement des entraîneurs. Les preuves ont été triangulées à partir de questionnaires, de journaux et d’entrevues (N=20). Les réponses des entraîneurs ont été très largement positives. La technologie des écrans tactiles, les critères d’évaluation précisés et le profilage graphique, tout comme la sensibilisation et la compréhension accrue du processus d’évaluation, ont aidé à intégrer l’évaluation au programme. Les réflexions subséquentes des élèves sur les composantes du processus d’entraînement ont eu une incidence positive sur leur rendement. L’étude conclut que la TÉT a le potentiel d’aider à améliorer le processus d’apprentissage et à combler l’écueil entre l’éducation et la pratique. L’étude attire l’attention vers les défis liés à la mise en œuvre.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.002
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 head0.018
GPT teacher head0.309
Teacher spread0.290 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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