학술논문

Automated Educative Nudges to Reduce Missed Assignments in College
Document Type
Periodical
Source
IEEE Transactions on Learning Technologies IEEE Trans. Learning Technol. Learning Technologies, IEEE Transactions on. 14(2):189-200 Apr, 2021
Subject
Computing and Processing
General Topics for Engineers
Learning management systems
Electronic learning
Psychology
Performance evaluation
Licenses
Urban areas
Tools
Learning management system (LMS)
nudge
prospective memory
reminder.
Language
ISSN
1939-1382
2372-0050
Abstract
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.