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arXiv · 1704.04103

Orderness Predicts Academic Performance: Behavioral Analysis on Campus Lifestyle

Yi Cao·Jian Gao·Defu Lian·Zhihai Rong·Jiatu Shi·Qing Wang·Yifan Wu·Huaxiu Yao·Tao Zhou
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Abstract

Quantitative understanding of relationships between students' behavioral patterns and academic performances is a significant step towards personalized education. In contrast to previous studies that mainly based on questionnaire surveys, in this paper, we collect behavioral records from 18,960 undergraduate students' smart cards and propose a novel metric, called orderness, which measures the regularity of campus daily life (e.g., meals and showers) of each student. Empirical analysis demonstrates that academic performance (GPA) is strongly correlated with orderness. Furthermore, we show that orderness is an important feature to predict academic performance, which remarkably improves the prediction accuracy even at the presence of students' diligence. Based on these analyses, education administrators could better guide students' campus lives and implement effective interventions in an early stage when necessary.

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Yi Cao, Jian Gao, Defu Lian, Zhihai Rong, Jiatu Shi, Qing Wang, Yifan Wu, Huaxiu Yao, Tao Zhou. 2017-06-30. Orderness Predicts Academic Performance: Behavioral Analysis on Campus Lifestyle. https://doi.org/10.1098/rsif.2018.0210

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