journal article·2025-06-04Open access

Awareness to Action: Student Knowledge of and Responses to an Early Alert System

Megan N. Imundo, Maria Goldshtein, Micah Watanabe, Jiachen Gong, Devon Nicole Crosby, Rod D. Roscoe, Tracy Arner, Danielle S. McNamara

Applied Sciences· Volume 15· Issue 11

Abstract

Introduction: Student retention is a critical issue in higher education. Universities have responded by implementing supports like early alert systems. Objective: We investigated students’ knowledge of and experiences with an early alert system designed to enhance academic persistence. Method: We surveyed (N = 356) undergraduates at a large public university in the U.S. The survey was researcher-created and administered online. Participants self-selected into the study and provided informed consent prior to beginning the study. Data were coded by experts, who achieved excellent IRR. The analyses were frequency-based to understand diverse student knowledge, experiences, and responses with early alert systems. Results: Students commonly reported experiencing negative emotions after receiving an alert, but also reported that receiving an alert motivated them to increase their course attendance, improve their study habits, and participate more in class. Finally, students indicated that receiving an early alert facilitated supportive interactions with instructors, though student communication with academic advisors was less frequent. Student recommendations for system improvement included using positive language in alerts and providing actionable guidance. Conclusions: These results provide new insight into student views of early alert systems and suggest that these systems can positively impact students in need of support.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Experimental Learning in Engineering · Teaching and Learning Programming · Innovative Teaching Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Learning Engineering Institute, Arizona State University, Tempe, AZ 85281, USA

Human Systems Engineering, The Polytechnic School, Arizona State University, Tempe, AZ 85281, USA

Department of Psychology, Arizona State University, Tempe, AZ 85281, USA

Funding

Institute of Education Sciences, U.S. Department of Education

References (62)

Show source-provided references
1. Tailoring programs to best support low-income, first-generation, and racially minoritized college student success10.1177/1521025120971580 ↗
2. Student support services for the underprepared student
3. Recruiting and supporting low-income, high-achieving students at flagship universities10.1016/j.econedurev.2019.101923 ↗
4. Student connections: The critical role of student affairs and academic support services in retention efforts10.1177/1521025121991502 ↗
5. Schuh, J.H., Jones, S.R., and Harper, S.R. (2011). Student success. Student Services: A Handbook for the Profession, Jossey-Bass. [5th ed.].
6. Academic advising and first-generation college students: A quantitative study on student retention10.12930/NACADA-13-192 ↗
7. A prospective investigation of students’ academic achievement and dropout in higher education: A Self-Determination Theory approach10.1080/01443410.2018.1502412 ↗
8. Ryan, R.M., and Deci, E.L. (2017). Self-Determination Theory. Basic Psychological Needs in Motivation, Development, and Wellness, The Guilford Press.10.1521/978.14625/28806 ↗
9. Cuseo, J. (2025, May 12). At-Risk Prediction Instruments, Early-Alert Systems & Exit Interviews: A Proactive-to-Reactive Continuum of Efforts to Promote Student Success. Available online: https://www.shawnee.edu/sites/default/files/2019-01/at-risk-early-alert-exit-total-10.pdf.
10. Can an early alert excessive absenteeism warning system be effective in retaining freshman students?10.2190/8TDY-798N-1ACK-9733 ↗
11. Purdue signals: Mining real-time academic data to enhance student success10.1002/abc.20025 ↗
12. Developing, implementing, and assessing an early alert system10.2190/CS.14.4.e ↗
13. Dropouts from higher education: A theoretical synthesis of recent research10.3102/00346543045001089 ↗
14. Hannover Research (2014). Early Alert Systems in Higher Education, Hannover Research.
15. Bañeres, D., Rodríguez, M.E., Guerrero-Roldán, A.E., and Karadeniz, A. (2020). An early warning system to detect at-risk students in online higher education. Appl. Sci., 10.10.3390/app10134427 ↗
16. The effectiveness of early identification of ‘at risk’ students in higher education institutions10.1080/02602938.2017.1376033 ↗
17. Lee, Y.H., Chong, S., and Tang, Y.W. (2019, January 1–3). Early alert of the academically at-risk adult learner in higher education. Proceedings of the 11th International Conference on Education and New Learning Technologies, Palma, Spain.10.21125/edulearn.2019.1262 ↗
18. Early warning system as a predictor for student performance in higher education blended courses10.1080/03075079.2018.1466872 ↗
19. Applying the UTAUT model to explain the students’ acceptance of an early warning system in Higher Education10.1016/j.compedu.2022.104468 ↗
20. Mining LMS data to develop an “early warning system” for educators: A proof of concept10.1016/j.compedu.2009.09.008 ↗
21. Early warning systems for more effective student counselling in higher education: Evidence from a Dutch field experiment10.1111/hequ.12298 ↗
22. Linking early alert systems and student retention: A survival analysis approach10.1007/s10734-018-0249-y ↗
23. Budig, J.E. (1995, January 20–21). Postcards for student success [Paper presentation]. Proceedings of the INAIR Conference, West Lafayette, IN, USA.
24. Hanover Research (2025, May 12). Early Alert Systems in Higher Education. Available online: https://www.hanoverresearch.com/wp-content/uploads/2017/08/Early-AlertSystems-in-Higher-Education.pdf.
25. Kuh, G.D., Kinzie, J.L., Buckley, J.A., Bridges, B.K., and Hayek, J.C. (2025, May 12). What Matters to Student Success: A Review of the Literature, Available online: https://nces.ed.gov/npec/pdf/Kuh_Team_Report.pdf.
26. Getting to know your students and an educational ethic of care
27. Simpson, C. (2014). Early Alert in Community College: Student Success, Persistence, and Retention in Developmental Courses (Publication no. 3620377). [Doctoral Dissertation, Fordham University].
28. Student retention in higher education: Why students choose to remain at university10.1177/1521025120985228 ↗
29. Teaching large classes at college and university level: Challenges and opportunities10.1080/13562511003620001 ↗
30. Common challenges for instructors in large online courses: Strategies to mitigate student and instructor frustration
31. Human factors engineering and user-centered design for mobile health technology: Enhancing effectiveness, efficiency, and satisfaction
32. Applying a responsible innovation framework in developing an equitable early alert system: A case study10.18608/jla.2023.7795 ↗
33. Increasing faculty engagement in the early alert process10.1080/14703297.2020.1740102 ↗
34. Velasco, J.M. (2020). Early Alert Programs: A Closer Look (Publication No. 27998226). [Doctoral Dissertation, Valdosta State University].
35. Willis, M.J., Koch, D., Arnold, K., Teasley, S., and Pardo, A. Perceptions and use of an early warning system during a higher education transition program. Proceedings of the Fourth International Conference on Learning Analytics and Knowledge.
36. Perceived benefits and barriers of a prototype early alert system to detect engagement and support ‘at-risk’ students: The teacher perspective10.1016/j.compedu.2020.103954 ↗
37. Bentham, C. (2017). Faculty Perspectives and Participation in Implementing an Early Alert System and Intervention in a Community College. (Publication No. 5661). [Doctoral Dissertation, University of Central Florida]. Available online: https://stars.library.ucf.edu/etd/5661/.
38. Atif, A., Richards, D., and Bilgin, A. (2015, January 13–15). Student preferences and attitudes to the use of early alerts. Proceedings of the Twenty-First Americas Conference on Information Systems. AIS eLibrary, Fajardo, Puerto Rico. Available online: https://aisel.aisnet.org/amcis2015/ISEdu/GeneralPresentations/19.
39. Imundo, M.N., Goldshtein, M., Watanabe, M., Gong, J., Roscoe, R.D., Arner, T., and McNamara, D.S. (2024, January 22–24). A learning engineering approach to the investigation of Academic Status Reports to facilitate student success [Show and Share]. Proceedings of the 2024 Meeting of the IEEE International Consortium for Innovation and Collaboration in Learning Engineering (ICICLE 2024), Tempe, AZ, USA.10.59668/2109.21831 ↗
40. Psychosocial factors predicting first-year college student success10.1353/csd.2013.0034 ↗
41. Robins, A., Moskal, A., Ko, A.J., and McCauley, R. Adaptive immediate feedback can improve novice programming engagement and intention to persist in computer science. Proceedings of the 2020 ACM Conference on International Computing Education Research.
42. How do college students use digital flashcards during self-regulated learning?10.1080/09658211.2022.2058553 ↗
43. Jackson, F.B. (2021). First Year Perceptions: How Does Starfish Retention Solutions™ Help with Student Engagement? (Publication No. 28417863). [Doctoral Dissertation, Eastern Kentucky University]. Available online: https://www.proquest.com/dissertations-theses/first-year-perceptions-how-does-starfish/docview/2561949284/se-2.
44. (2025, May 12). [jdib678]. [Online forum post]. Available online: https://www.reddit.com/r/ASU/comments/17w1hdt/comment/k9fdoo0/.
45. ASU College of Integrative Sciences and Arts (2025, May 12). Strategies for Success. Available online: https://cisa.asu.edu/resources/success_strategies.
46. Michigan State University College of Education (2025, May 12). Study Strategies & Tips. Available online: https://education.msu.edu/kin-nections/study-strategies-tips/.
47. Class attendance in college: A meta-analytic review of the relationship of class attendance with grades and student characteristics10.3102/0034654310362998 ↗
48. Duraku, Z.H., Davis, H., and Hamiti, E. (2023). Mental health, study skills, social support, and barriers to seeking psychological help among university students: A call for mental health support in higher education. Front. Public Health, 11.10.3389/fpubh.2023.1220614 ↗
49. Why are extraverts more satisfied? Personality, social experiences, and subjective well-being in college10.1002/per.2101 ↗
50. Student sense of belonging and its impacts on help-seeking behaviour
51. Li, R., Hassan, N.C., and Saharuddin, N. (2023). College student’s academic help-seeking behavior: A systematic literature review. Behav. Sci., 13.10.3390/bs13080637 ↗
52. The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior10.1207/S15327965PLI1104_01 ↗
53. Bernacki, M., Walkington, C., Emery, A., and Zhang, L. Applying self-determination theory to the effective implementation of personalized learning in online higher education. Handbook of Personalized Learning, Routledge. in press.
54. Bernacki, M., Walkington, C., Emery, A., and Zhang, L. Personalizing to promote autonomy & choice. Handbook of Personalized Learning, Routledge. in press.
55. When choice motivates and when it does not10.1007/s10648-006-9027-y ↗
56. Pace, J.L. (2023). The Impact of Academic Advising Practices on Rural Community College Students’ Self-Determination: A Single Case Study (Publication No. 30817051). [Doctoral Dissertation, Baylor University].
57. Student mental health profiles and barriers to help seeking: When and why students seek help for a mental health concern10.1002/capr.12462 ↗
58. How do students get help with research assignments? Using drawings to understand students’ help seeking behavior10.1016/j.acalib.2016.04.010 ↗
59. Academic advising in undergraduate education: A systematic review10.1016/j.nedt.2019.01.009 ↗
60. Putting and keeping students on track: Toward a comprehensive model of college persistence and goal attainment
61. Career development among first-year college students: College self-efficacy, student persistence, and academic success
62. Arizona State University (2025, May 12). Facts and Figures. Available online: https://www.asu.edu/about/facts-and-figures.