Automated Educative Nudges to Reduce Missed Assignments in College
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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). 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.
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Push notifications supported cognitive presence by reminding students of assignments and directing them to information accessible on their mobile devices.
“In terms of engagement, Pham et al. (2016) found that engagement increased with the use of push notifications, while Motz et al. (2021) reported that push notifications supported cognitive presence by reminding students of assignments and directing them to information accessible on their mobile devices.”
From You have a notification: the role of push notifications in shaping students’ engagement, self-regulation and academic procrastination (2025) · cites this paper as Motz et al. (2021)
In “B. This Study” and “II. EXPERIMENT 1” (page numbers unavailable), the paper describes smartphone push notifications that remind students of approaching assignments and link to assignment details in the app. It does not report that the notifications supported cognitive presence; its discussion instead addresses assignment submissions and prospective memory. (LLM, conf=0.88)
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1 retracted
RETRACTED: Procrastination, Deadlines, and Performance: Self-Control by Precommitment
Ariely, D., & Wertenbroch, K. (2002) · Psychological Science · doi:10.1111/1467-9280.00441 · Cited by 1,266 · cited 1× · see citing works
“…tailored suggestion of what a student should do can be more effective at improving student engagement than purely informative interventions [44], and instituting a firm schedule of assignment deadlines leads to the improved performance over flexible student-selected assignment deadlines [56].”
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Bürkner, P.-C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v080.i01 · Cited by 9,476 · cited 1× · see citing works
“These measures were analyzed within the framework of Bayesian generalized linear mixed model, using the brms package for R [40].”
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A national experiment reveals where a growth mindset improves achievement
Yeager, D. S., Hanselman, P., Walton, G. M., Murray, J. S., Crosnoe, R., Muller, C., Tipton, E., Schneider, B., Hulleman, C. S., Hinojosa, C. P., et al. (2019) · Nature · doi:10.1038/s41586-019-1466-y · Cited by 1,513 · cited 1× · see citing works
“Less paternal-istic approaches, such as growth mindset interventions (e.g., [57]) may be more appropriate for facilitating student engagement and achievement across diverse courses and institutions.”
BackgroundKruschke, J. K., & Liddell, T. M. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1221-4 · Cited by 1,288 · see citing works
Analyzing ordinal data with metric models: What could possibly go wrong?
Liddell, T. M., & Kruschke, J. K. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.08.009 · Cited by 773 · cited 2× · see citing works
“We analyzed these ratings separately for notifi-cations about instructor announcements ( n ¼ 24) and assignment reminders ( n ¼ 25), using an ordered-probit model (in which ordered ratings are mapped onto a continuous distribution that can exceed the maximum rating value; [35]).”
MethodCastleman, B. L., & Page, L. C. (2015) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2014.12.008 · Cited by 403 · see citing works
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Prospective memory: When reminders fail
Guynn, M. J., Mcdaniel, M. A., & Einstein, G. O. (1998) · Memory & Cognition · doi:10.3758/bf03201140 · Cited by 168 · see citing works
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Mumcu, B. B., & Çebi, A. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00537-x · Cited by 7 · see citing works
“In terms of engagement, Pham et al. (2016) found that engagement increased with the use of push notifications, while Motz et al. (2021) reported that push notifications supported cognitive presence by reminding students of assignments and directing them to information accessible on their mobile…”
- Authors
- Motz, B. A., Mallon, M. G., & Quick, J. D.
- Affiliations
- Indiana University Bloomington (US)
- Venue
- IEEE Transactions on Learning Technologies
- Published
- 2021-04-01
- Volume
- 14
- Issue
- 2
- Pages
- 189-200
- ISSN
- 1939-1382 (ISSN-L)
- 2372-0050
- OpenAlex
- W3134829240
- Cited by
- 40
- References
- 9
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 8 · 2023: 6 · 2022: 5 · 2021: 3 · 2020: 2
- FWCI
- 4.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- IEEE Transactions on Learning Technologies (publishedVersion, cc-by)
- EdArXiv (OSF Preprints) (submittedVersion, cc-by-nc-nd)
- EdArXiv (OSF Preprints) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Online and Blended Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- nudging, online learning management systems, push notifications, mobile app intervention, proactive intervention, course grades, student behavior, higher education
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