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Big Data and Learning Analytics Model for Promoting Physical Literacy in College Students in China.

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Physical literacy, a lifelong approach to movement, benefits health and education. Optimal promotion involves increasing physical knowledge in younger students and physical attitude in older students.

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Area of Science:

  • Education
  • Public Health
  • Systems Science

Background:

  • Physical literacy is a holistic, lifelong approach to movement and physical activity.
  • It positively impacts physical, psychological, social, and cognitive health.
  • Promoting physical literacy requires an interdisciplinary approach considering social and individual factors.

Purpose of the Study:

  • To propose a system dynamics (SD) model for promoting student physical literacy.
  • To illustrate the system using a causal loop diagram and four subsystems.
  • To identify optimal strategies for enhancing physical literacy through simulation.

Main Methods:

  • Developed a system dynamics model with a causal loop diagram.
  • Simulated the model by adjusting 14 different physical literacy promotion indexes.
  • Utilized Apache Spark architecture and Big Data tools for analysis.

Main Results:

  • Identified that different physical literacy indexes require attention across different student grades.
  • Optimal promotion strategies vary by grade level.
  • Simulation results suggest specific allocation changes for effectiveness.

Conclusions:

  • The proposed SD model aids in efficient physical literacy management and promotion planning.
  • Increasing physical knowledge in lower grades and physical attitude in higher grades optimizes promotion.
  • The study provides data-driven insights for educational policy and practice.