EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors

6 Jun 2020Yu YangZhiyuan WenJiannong CaoJiaxing ShenHongzhi YinXiaofang Zhou

Early prediction of students at risk (STAR) is an effective and significant means to provide timely intervention for dropout and suicide. Existing works mostly rely on either online or offline learning behaviors which are not comprehensive enough to capture the whole learning processes and lead to unsatisfying prediction performance... (read more)

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