Research on the Application of Big Data Technology in Sports Core Literacy Education: Learning Models, Teaching Strategies, and Internal Relationships

Abstract

The cultivation of core literacy is crucial in discipline teaching, and its effective implementation requires the integration of advanced technologies, particularly big data. This paper focuses on the application of big data technology in the teaching and learning of sports core literacy, emphasizing the use of computational methods to promote the transformation of knowledge and skills. The concept of sports core literacy is explored through the lens of big data platforms, which are utilized to create dynamic learning environments that facilitate the integration of sports knowledge, health knowledge, and sports moral knowledge. The paper proposes a big data-driven learning model that focuses on knowledge acquisition, skill development, and the transformation of knowledge and ability. By analyzing the relationship between these three dimensions—sports ability, health behavior, and sports morality—it highlights how big data technologies can track, analyze, and promote the development of students’ physical and cognitive capabilities. Furthermore, the paper presents teaching strategies based on hierarchical cultivation and personalized learning, aiming to address the common challenges in sports education, such as students’ lack of engagement, insufficient practice, and limited physical ability.