Effect Of An Ai-Based Personalised Training Program On Cardiovascular Fitness And Motor Performance In University Students

Abstract

This research aimed to determine the impact of an AI-based, customized training program on cardiovascular fitness and motor performance. Participants in the study were university students, and hence they were randomly divided into groups: an experimental group (AI-based training; n = 40) and a control group (traditional training; n = 40). The intervention lasted 8 weeks. Cooper Test for VO₂ max, T-test for agility, Stork Stand Test for balance, and Alternate hand wall toss for Coordination were used for data collection. The pre- and posttest results of the study were processed using the statistical package for the social sciences (SPSS, version 26), and thus, parametric statistical tools were applied to the data. On the basis of data analysis, the researcher arrived at the conclusion that personalized training that is developed using AI performs considerably better in cardiovascular fitness and motor performance among university students than traditional training protocols.