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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Wang, Hejina | Li, Zihaob; *
Affiliations: [a] Liaoning University, Shenyang, Liaoning, china | [b] Shanxi University, Taiyuan, Shanxi, china
Correspondence: [*] Corresponding author. Zihao Li, Shanxi University, Taiyuan, Shanxi, China. E-mail: lizihao419@163.com.
Abstract: Recently, Intense training in specialized sport among colleges and universities has steadily improved. Although most sportspeople accept that some degree of expertise in sport is required to achieve the elite stage, there is controversy over risk recognition and identification of sports activities in colleges and universities to optimize future performance. There is concern that a young athlete can suffer from sports specialization before adolescence due to various risk factors such as injuries, social tension, and hypertension etc..,. Furthermore, PubMed and OVID are looking to discuss sports specialization and athlete experience-based consensus opinions and position statements based on Universities and Colleges. Risk recognition and identification tools are developed to identify the locations of athletes within the specialization spectrum using Linear Structural Modeling (LSM). Here, a degree of sports expertise is needed to create elite skill levels to overcome risk factors that have been suggested in the linear model. In most sports, though, such accelerated preparation should be deferred until late adolescence to reduce risk factors. The psychological burden has been analyzed for recognition, and classification based on the case study has been firmly researched in this paper.
Keywords: Novice athletes, social tension, colleges and universities, risk recognition, accelerated preparation
DOI: 10.3233/JIFS-189376
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3373-3383, 2021
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