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Record W3112415226 · doi:10.5430/ijhe.v10n2p265

Scientific Bases the System of Future Fitness Coaches’ Professional Training in Higher Educational Institutions

2020· article· en· W3112415226 on OpenAlexvenueno aff
O. KORNOSENKO, П. Хоменко, Iryna V. Taranenko, Valeriy Zhamardiy, Олена Школа, Hanna Tolchieva, Volodymyr Saienko

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTraining systemContext (archaeology)Professional developmentTraining (meteorology)Professional studiesHigher educationConceptual frameworkPsychologyEngineering ethicsKnowledge managementSociologyPedagogyMedical educationEngineeringComputer sciencePolitical scienceMedicineSocial science

Abstract

fetched live from OpenAlex

In the article is the system of future fitness coaches’ professional training in higher educational institutions in the unity of conceptual, contention, technological and effective components. The purpose of this paper is to ground conceptual principles of future fitness coaches’ professional training in higher educational institutions. Method of the study reflects the theoretical substantiation and development of a system of professional training for future fitness coaches in higher educational institutions. The model of the system of professional training of future fitness coaches was proposed, which contains four interrelated components: conceptual, intensive, technological and effective. The efficiency of the system is provided with the integration of medical-biological, social-humanitarian and psychoeducational knowledge in disciplines of different cycles of training based on integrative interdisciplinary connections, unity and intercommunication of sport and professional-pedagogical perfection in professional-motive abilities and skills formation, application of innovative information-communicative technologies and educational-technical facilities, the collaboration of higher educational institutions lecturers and practicing fitness coaches, development of international connections and collaboration in the context of the world and European educational sphere integration.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.189
GPT teacher head0.480
Teacher spread0.291 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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