# Orderness Predicts Academic Performance: Behavioral Analysis on Campus   Lifestyle

**Authors:** Yi Cao, Jian Gao, Defu Lian, Zhihai Rong, Jiatu Shi, Qing Wang, Yifan, Wu, Huaxiu Yao, Tao Zhou

arXiv: 1704.04103 · 2018-10-23

## TL;DR

This study introduces a new metric called orderness, derived from behavioral data of students' daily routines, which strongly correlates with and can predict academic performance, offering insights for personalized educational interventions.

## Contribution

The paper proposes the novel 'orderness' metric based on campus behavioral records and demonstrates its effectiveness in predicting students' GPA.

## Key findings

- Strong correlation between orderness and GPA
- Ordness significantly improves prediction accuracy
- Behavioral regularity can guide educational interventions

## 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.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/1704.04103/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/1704.04103/full.md

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Source: https://tomesphere.com/paper/1704.04103