Outline

Ingegneria Sismica

Ingegneria Sismica

Integrating Artificial Intelligence to Refine the Physical Fitness Assessment System for Collegiate Standard Dance Majors: An Investigation into the Effectiveness of the Updated Evaluation Framework

Author(s): Xuewei Zhao1
1Department of Physical Education Teaching Research, Xinjiang College of Science & Technology, Bayingolin Mongolian Autonomous Prefecture, Xinjiang Uygur Autonomous Region, China
Zhao, Xuewei. “Integrating Artificial Intelligence to Refine the Physical Fitness Assessment System for Collegiate Standard Dance Majors: An Investigation into the Effectiveness of the Updated Evaluation Framework.” Ingegneria Sismica Volume 43 Issue 3: 1-16, doi:10.65102/is20261063.

Abstract

This research aims at the body condition of college students who major in ballroom dance, and it inspects the effect of a new physical assessment system which combines artificial intelligence together with the “National Physical Fitness Assessment Standards (2023 Revised Edition).” The research background emphasizes that because ballroom dance has vocational property, students of this major have special physical quality demands, which traditional evaluation methods are not enough to completely cover. The purpose is to carry out reform on the physical assessment system to more accurately measure and promote the physical condition of ballroom dance major students, hence thus laying a foundation for the promotion of their dance skill level. By making use of an experiment control design, this research has chosen 197 students who take ballroom dance as their major, it divides them into one experiment group and one control group, the experiment group receives physical training which is according to the new evaluation system. The result of study discovered that the students who were in experimental group, after accepting the training which is guided by new evaluation system, showed much better total physical fitness scores when compared with control group, especially having big promotion in main physical fitness targets like grip strength and vertical jump. Hence this shows that the new evaluation system can more exactly reflect the physical fitness of students, hence provides effective foundation for training and teaching. This research also carries out a deep analysis on the superiorities of the new evaluation system in promoting students’ body health, therefore puts forward specific training proposals, for example, strengthening upper limb strength and lower limb explosive force training, hence laying stress on the working-out of individual training plans. It is clearly put forward that the merging of artificial intelligence into the physical assessment system reform not only effectively promotes the physical condition of ballroom dance specialized students but also provides an important reference for the scientificization of dance training. This research offers innovative viewpoints and practice guiding for the physical education and training of ballroom dance major students in the universities.

Keywords
Ballroom Dance Major; Physical Fitness Evaluation; Artificial Intelligence; Physical Fitness; Dance Training.

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