Diagnosis of the technical training process in Olympic wrestling

Introduction: International and national organizations demand a training process that facilitates access to technical knowledge, from modern teaching methods , that is inclusive, equitable and of quality. Objective: In response to this, the research was aimed at diagnosing the current state of the technical training process of Olympic wrestling. Materials and methods: For this purpose, a longitudinal study was carried out from 2012 to 2021, selecting 18 managers, 59 wrestlers and 24 coaches as a sample. Two mobile phones were used to record and obtain the images of the combats, from where the observations of the technique were made. The methods used were the dialectical-materialist, as well as those of a theoretical and empirical nature, highlighting the review of documents, the interview, the survey and the observation, while as a verification tool the methodological triangulation, fundamental in the process of describing the object of study. Results: The applied procedures determined the existence of difficulties in the pedagogical-sports direction, the scientific-technical content system and the analysis of key factors of the technique, especially, with handling of the action model (video library), the video -analysis (execution parameters), the common factor (selection of successful and unsuccessful cases) and working documents (technical sheets and comparison list). Conclusions: Finally, the guidelines of a didactic model for the trainig of the technique are declared, based on a systemic elaboration of the scientific-technical contents and the analysis of key factors, considering the information and communication technologies (ICT).
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Bibliographic Details
Subjects:
Notations:combat sports
Published in:PODIUM: Journal of Science and Technology in Physical Culture
Language:English Spanish Portuguese
Published: 2022
Online Access:https://podium.upr.edu.cu/index.php/podium/article/view/1355
Volume:17
Issue:3
Pages:1052-1066
Document types:article
Level:advanced