2022
DOI: 10.17309/tmfv.2022.3.19
|View full text |Cite
|
Sign up to set email alerts
|

Pattern Recognition: Age-Specific Features of Fundamental Movement Skills Formation in Elementary School Students

Abstract: The purpose of the study was to determine the age-specific features of fundamental movement skills formation in elementary school students. Materials and methods. The study participants were boys aged 7 to 10 (24 boys aged 7; 28 boys aged 8; 35 boys aged 9; 36 boys aged 10). The children and their parents or legal guardians were fully informed about all the special aspects of the study and all the parents or legal guardians gave their consent thereto. The study protocol was approved by the Ethics Committ… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4

Relationship

3
1

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 32 publications
(36 reference statements)
1
3
0
Order By: Relevance
“…The data obtained complement the information on the influence of exercise regimes on the formation of motor skills in children (Ivashchenko, 2020;Ivashchenko, Iermakov, Khudolii, Cretu, & Potop, 2017;Ivashchenko, Khudolii, Iermakov, Chernenko, & Holovko, 2015; on the effectiveness of using the method algorithmic prescriptions for the formation of motor skills (Ivashchenko, 2020;Yunak et al, 2022;Marchenko et al, 2022), and also confirm data on the effectiveness of using discriminant analysis to optimize the process of physical education of schoolchildren (Samanta & Mukherjee, 2021;Djordjevic, Valkova, & Petkovic, 2021;Begu, Miftari, Dalip, & Haxhnikaj, 2023).…”
Section: Discussionsupporting
confidence: 66%
See 1 more Smart Citation
“…The data obtained complement the information on the influence of exercise regimes on the formation of motor skills in children (Ivashchenko, 2020;Ivashchenko, Iermakov, Khudolii, Cretu, & Potop, 2017;Ivashchenko, Khudolii, Iermakov, Chernenko, & Holovko, 2015; on the effectiveness of using the method algorithmic prescriptions for the formation of motor skills (Ivashchenko, 2020;Yunak et al, 2022;Marchenko et al, 2022), and also confirm data on the effectiveness of using discriminant analysis to optimize the process of physical education of schoolchildren (Samanta & Mukherjee, 2021;Djordjevic, Valkova, & Petkovic, 2021;Begu, Miftari, Dalip, & Haxhnikaj, 2023).…”
Section: Discussionsupporting
confidence: 66%
“…Important in obtaining objective results about the patterns of the learning process is planning an experiment and using multivariate statistics. The effectiveness of discriminant analysis in studying the patterns of the learning process of children and adolescents has been established (Medko & Khudolii, 2021;Marchenko et al, 2021Marchenko et al, , 2022Yunak, Ivashchenko, Nosko, & Nosko, 2022). Consequently, the use of discriminant analysis will allow us to obtain new information about the age-related characteristics of the formation of basic motor skills in primary schoolchildren.…”
Section: Introductionmentioning
confidence: 99%
“…Fundamental motor skills and their impact on increasing the level of motor readiness are considered as a way to solve the problem of motor activity deficit in children [1][2][3]. A correlation relationship has been established between fundamental motor skills and the level of motor activity [4][5][6], fundamental motor skills and the level of motor readiness [7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…To substantiate the training program, methods of mathematical statistics are used, such as correlation, factor and discriminant analysis (Ivashchenko, 2020). Since the quality of the implementation of the programs depends on the modes of alternating exercise performance and rest intervals (Shuieva, Ivashchenko, & Jagiello, 2021;Yunak, Ivashchenko, Nosko, & Nosko, 2022;Marchenko, Ivashchenko, Jagiello, Iermakov, Khudolii, & Yermakova, 2022), the choice of discriminant analysis will make it possible to classify work modes and determine the relationship between the motor tasks within the training program (Silverman, Woods, & Subramaniam, 1998;Vandorpe, Vandendriessche, Vaeyens, Pion, Lefevre, Philippaerts, & Lenoir, 2011;Rebelo-Gonçalves, Coelho-e-Silva, Severino, Tessitore, & Figueiredo, 2015).…”
Section: Introductionmentioning
confidence: 99%