Evaluating Hybrid Basketball Teaching Methods: Integrating Bioinformatics with a Microsoft-Based Digital Platform for Enhanced Learning Outcomes

Abstract

This study investigates the integration of bioinformatics and physiological insights into a hybrid teaching model for basketball, leveraging a Microsoft-based digital platform. Key bioinformatics and physiological factors affecting basketball performance, such as metabolic and cardiorespiratory efficiency, neuromuscular response, and biomechanical factors, are analyzed to inform teaching strategies. A bioinformatics-based blended teaching platform is constructed, incorporating digital tools to optimize the learning process and outcomes. The study evaluates the platform's effectiveness through comparative analysis of physical fitness, skill attainment, learning attitudes, and satisfaction among basketball athletes. Results indicate significant improvements in basketball skill attainment, with P-values for fixed-point shooting (P=0.032<0.05) and skill evaluation (P=0.003<0.05) demonstrating substantial progress. Learning attitudes also showed significant positive changes across eight indicators, with t-test results yielding P<0.05. This research highlights the potential of integrating bioinformatics-driven approaches and digital platforms in sports education, offering innovative methods to enhance teaching effectiveness and athlete performance. The findings provide a foundation for scalable, technology-enabled teaching frameworks, advancing interdisciplinary applications of biotechnology in physical education and training programs.