The effect of high-intensity training (in terms of target time) for speed endurance testing using artificial intelligence techniques on some biochemical and kinematic variables of young 200m runners.

Abstract

In this research, the effect of high-intensity training was studied in terms of the speed endurance test time using artificial intelligence techniques, as high-intensity training is considered one of the effective means of improving performance and achieving development in cardiorespiratory fitness. With the development of artificial intelligence techniques, it has become possible to design accurate programs based on analyzing individual data and determining the target time to achieve the desired sports goals. The research sample was deliberately selected from talented young runners of the National Center for the Care of Athletic Talent/Ministry of Youth, aged 16-18 years, as the number of runners reached (6) runners for the 2023-2024 sports season, and the percentage of the research sample reached (66.66%) of the original community. The researcher chose the experimental method with a single group with a pre- and post-test to suit the nature of the problem. The training curriculum was implemented during the special preparation period and included (24) training units over (12) weeks, at a rate of two training units per week. The scientific foundations of the principles of training science and sports physiology were taken into account by using technology. Artificial intelligence based on individual data and information of players during the preparation and standardization of training loads, in addition to the use of the device (Polar H10). The researcher concluded that the training method implemented on the research sample members by standardizing training according to artificial intelligence techniques and the target time for the speed endurance test resulted in a noticeable development in the results of the post-tests of the research sample members for the variables under study. The researcher recommended the need for serious attention by coaches and those concerned with the training process to use artificial intelligence technology to standardize training loads.