Exercise makes better mind: a data mining study on effect of physical activity on academic achievement of college students

CHAID
DOI: 10.3389/fpsyg.2023.1271431 Publication Date: 2023-10-16T15:29:09Z
ABSTRACT
The effect of physical activity (PA) on academic achievement has long been a hot research issue in education, but few studies have conducted using machine learning methods for analyzing behavior. In this paper, we collected the data both and performance from 2,219 undergraduate students (Mean = 19 years) over continuous period 12 weeks within one semester. Based students’ behavioral indicators transformed running APP interface average course scores, two models were constructed processed by CHAID decision tree regression analysis significance detection. It was found that first, to attain higher performance, it is imperative not only exhibit exceptional regularity, also sustain reduced step frequency; second, completing exercise with an frequency 1 time/week duration 16–25 min excelled approximately 88 percentage other performance; third, processing validity reliability observation complex systems can be improved utilizing as leveraging tool statistical method. These findings provide insights educational practitioners policymakers who will seek enhance college through education programs, combined mining methods.
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