  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.
