As institutions of higher education increasingly utilize online learning management systems, college students are asked to submit more assignments online. Under this regime, when most assignments are posted and submitted online, it is possible to know if a student is missing a submission for an imminent deadline, and to intervene proactively to reduce missed assignments and improve student outcomes. Toward this goal, we designed and evaluated a scalable targeted intervention: a mobile app that would deploy push notifications when students were missing submissions for assignments with imminent deadlines. Results from two experimental pilots demonstrate that this intervention system significantly decreased missed assignments compared with control notifications about instructor announcements to the class (in Experiment 1), and improved assignment adherence and course grades compared with courses that were not using the app (in Experiment 2). In this article, we discuss the benefits and theoretical implications of this behavioral guide rail, a purely informative proactive intervention to mitigate risk in advance of a negative outcome.

中文翻译：

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自动教育推动减少大学中错过的作业

随着高等教育机构越来越多地使用在线学习管理系统，要求大学生在线提交更多作业。在这种制度下，当大多数作业在线发布和提交时，可以知道学生是否错过了即将到来的截止日期的提交，并主动干预以减少错过的作业并提高学生成绩。为了实现这一目标，我们设计并评估了一个可扩展的有针对性的干预措施：一个移动应用程序，当学生错过即将截止日期的作业提交时，它将部署推送通知。两个实验飞行员的结果表明，与有关教师向班级公告的控制通知（在实验 1 中）相比，该干预系统显着减少了错过的作业，与未使用该应用程序的课程相比，提高了作业的坚持性和课程成绩（在实验 2 中）。在本文中，我们将讨论这种行为指南的好处和理论意义，这是一种纯粹提供信息的主动干预，可在出现负面结果之前降低风险。