Data-Driven Digital Literacy Assessment and Optimization of college Physical Education Teachers an Application Study of Machine Learning Algorithms

Abstract

In today's rapidly evolving educational landscape, the integration of digital technologies has become ubiquitous, transforming teaching methodologies and reshaping the learning experiences of students across various disciplines. This study investigates the intersection of digital literacy assessment, instructional optimization, and machine learning applications within the context of college physical education. Leveraging regression modeling techniques, the study explores the relationships between educators' digital proficiency, teaching practices, and student outcomes. Digital literacy levels were assessed through a composite measure encompassing technological proficiency, information literacy, and adaptability to digital tools. Regression analysis revealed significant predictors of digital literacy among college physical education teachers, with technological proficiency, information literacy, and adaptability to digital tools emerging as key determinants. Moreover, regression models elucidated the impact of digital literacy levels on teaching effectiveness and student outcomes, highlighting the pivotal role of digital proficiency in fostering innovative teaching strategies and enhancing student engagement. Predictive modeling techniques were employed to forecast the impact of digital literacy interventions on teaching effectiveness and student outcomes, guiding evidence-based decision-making and resource allocation. Additionally, intervention strategies targeting specific dimensions of digital literacy were implemented, yielding statistically significant improvements in teaching effectiveness and student outcomes over time. This study offers valuable insights into the pathways to enhanced pedagogical practices and improved student learning experiences within college physical education settings, paving the way for personalized interventions and adaptive learning environments in an increasingly digitalized educational landscape.