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International Journal of Sports Technology, 2020, 1(3); doi: 10.38007/IJST.2020.010305.

Construction of Basketball Professional Quality Training Evaluation System Based on Automatic Information Technology

Author(s)

Long Li

Corresponding Author:
Long Li
Affiliation(s)

School of Physical Education, Anyang Normal University, Anyang, Henan 455000, China

Abstract

An excellent basketball player is bound to have high basketball professional quality. As an important base for transporting basketball talents, relevant colleges and universities must do better in the training of basketball professional quality. At present, although many colleges and universities have strengthened their work in this area, the phenomenon of uneven basketball quality still exists, which urgently needs an evaluation system based on basketball professional quality training. Traditional evaluation systems usually have problems such as cumbersome evaluation process, different evaluation standards, and low evaluation accuracy. In order to change this situation, this paper studied the basketball professional quality training evaluation system under the background of the information age. Combined with automatic information technology, this paper built an intelligent evaluation system for basketball professional quality training, and used the fuzzy evaluation method to optimize and upgrade the system. The practical results showed that the evaluation system can dynamically monitor the training process of basketball professional quality, and then accurately evaluate the technical ability of basketball students. The evaluation accuracy of the system was 4.87% higher, while compared with the traditional evaluation system.

Keywords

Evaluation System, Basketball Quality Training, Dynamic Monitoring, Automated Information Technology

Cite This Paper

Long Li. Construction of Basketball Professional Quality Training Evaluation System Based on Automatic Information Technology. International Journal of Sports Technology (2020), Vol. 1, Issue 3: 52-66. https://doi.org/10.38007/IJST.2020.010305.

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