Data Sheet 1_A data-driven stratification framework for physical fitness in junior high school students: a composite approach based on BMI and multidimensional data.pdf

This exploratory framework provides a baseline for precise, individualized physical fitness interventions in adolescents.</p>Methods<p>A quantitative cross-sectional design was employed. First, a questionnaire survey was administered to 125 primary and secondary school PE teachers in Beijing to evaluate their attitudes and preferences for evaluation indicators regarding differentiated instruction.

Second, multidimensional physical fitness monitoring data were collected from 532 junior high school students. Following the standardization of continuous physical fitness test scores and categorization by Body Mass Index (BMI), one-way analysis of variance (ANOVA) and K-means clustering algorithms were comprehensively applied to explore the underlying latent cluster formations of students' multidimensional physical fitness characteristics.</p>Results<p>The survey revealed a high theoretical acceptance of differentiated instruction among frontline teachers, yet a “knowing-doing gap” remains in large-class settings, with 65.85% of respondents prioritizing BMI as the primary stratification criterion.