The Primary Research Of Indexing And Evaluating Software On Cyclists' Talent Identification Tests

Purpose: The aim of this study is to design and work out a program for the indexing and evaluating work in cyclists' talent identification tests instead of the traditional ones. Talent identification and development is well recognized by sport as one of the key factors in conducting successful elite programs. Large area and repeating more frequently indexing and evaluating in cyclists' talent identification tests need more simple and efficient computer-based software. Therefore, coaches can be equipped with a more convenient tool which leads to the high accuracy and efficiency for their decision-making.Methods: In this study ,we consulted and analyzed a lot of literature and data. According to analysis of literature and data, criteria of cycling from maded by researchers of functional evaluation for elite cyclists and from maded by Robert B. Amot and Charles L. Gaines have been used in order to provide reference for indexing and evaluating software in cyclists' talent identification tests.In this study ,we exerted the usually used program language Visual Basic to design and work out indexing and evaluating software in cyclists' talent identification tests. The software was then applied to the indexing and evaluating work of young cyclists' talent identification tests.In this study ,we made the testing experiment of Wingate of 128 young cyclists. After examined we analyzed statistically 92 young cyclists' Peak Power and Mean Power (male totaled 35, age between 15-17 years old, female totaled 57, age between 14-16 years old) and made the evaluating Wingate standard in order to provide reference for indexing and evaluating software in young cyclists' talent identification tests.Results:In this software, we can input the data of the cyclists'talent identification tests, and evaluate their sports talent, we can save, modify, delete and index their datas, we can create report forms which result were analyzed statistically. The efficiency cf indexing and evaluating software in cyclists' talent identification tests would be greatly improved and it was will suited for the need of today cyclists' talent identification tests.According to statistical analysis, we made the evaluating Wingate standard in order to provide reference for indexing and evaluating software in young cyclists' talent identification tests. It is easy for the young to evaluate their Wingate Power. Conclusion: The convenience, accuracy, and repeatability of this indexing and evaluating software in cyclists' talent identification tests significantly preceded that of the traditional method. All of these advantages make it better for research tool.