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Home Products Dropout Prevention in the Time of COVID-19
Students on the path toward dropping out of high school often exhibit signals that they are at risk well before they stop engaging in school. As school closures due to COVID-19 separate students from structured routines and educational supports, the number of disengaged students may continue to grow. Educators should be aware of and look for signs of disengagement and act to maximize engagement and supports for at-risk students during COVID-19 closures.
While all this is especially challenging to educators working remotely, Preventing Dropout in Secondary Schools, a report published by the Institute of Education Sciences at the U.S. Department of Education,i provides recommendations for educators that we have adapted for the circumstances of the COVID crisis.
Monitor student engagement
During a typical academic year, educators can use routinely collected data to monitor student performance on three indicators predictive of dropping out: attendance, poor behavior, and failing grades. ii, iii, iv, v With data from these indicators, schools and districts can offer personalized support for those who need it.
Educators can use pre-COVID-19 data to identify students who were at-risk of dropping out before the pandemic and deliver personalized supports to help students overcome their current challenges. Unfortunately, the pandemic is likely to introduce significant new challenges for still more youth, prompting a need to continue capturing data that can help educators identify and connect with students who disengage from school or otherwise fall off track during this time. While closures may hamper schools' ability to collect some types of data, educators can collect data aligned with indicators that evidence suggests will predict high risk of dropping out and use those data to identify and reach out to students who may need additional support. The table below provides some adaptations of the traditional metrics used in dropout prevention that educators can use in online or distance learning environments.
Traditional “during school” metrics | Potentially parallel “during COVID” metrics | |
---|---|---|
Attendance | Excused absences (school days) Unexcused absences (school days) | Not attending virtual school/learning activities Not accessing available learning materials (online or packets) Not participating in or nonresponsive to school's efforts to contact or other outreach efforts |
Behavior | Suspensions (in school)
Suspensions (out of school)
Office referrals |
Concerning behavior during virtual classes Inappropriate activity in online chats/polls Documented/known incidents of stress or trauma |
Grades | Cumulative GPA Missed class assignments Test failures Number of Ds and Fs on assignments | Turning in poor-quality assignments Not turning in assignments Failing classes needed to graduate |
School and district administrators as well as data professionals can help aggregate the data teachers collect to facilitate an organized action plan for reaching individual students. For example, if all teachers were to collect and report on a common set of indicators from the above table, school leaders could document students evidencing multiple risk factors and identify a trusted adult to take immediate action.
Build trusted relationships
Developmental research finds that the presence of a caring, trusted adult in the life of a child contributes to engagement in school and resilience in the face of adverse circumstances.vi, vii, viii,ix Further, such relationships are most consequential for marginalized youth.x ,xi Strengthening bonds with students—and forging connections with those signaling they are on the path to dropout—is particularly important during the COVID-19 pandemic. Until schools re-open, pay attention, open lines of communication, and demonstrate care for students. The proactive monitoring and engagement efforts described here will position educators to target intensive services on those who need it most when we construct our new normal.
Do not wait until school resumes to make more purposeful attempts to engage students. The following ideas, based on examples from the dropout prevention literature, can help educators connect with and reengage youth.
1. Let students know they matter, they are missed, and support is availableAn educator featured in a recent RELQuick Chat described using the popular
app TikTok to create a video to reach students and convey social emotional support.
Check out the full archived resource online.
Check @REL_Appalachia and @RELNW for updates. We are currently developing additional resources to support administrators with data monitoring and engagement throughout the summer and with preparing for students' return to school in the fall. Until then, pay attention, open lines of communication, and demonstrate care for students. The proactive monitoring and engagement efforts described above will position educators to target intensive services on those who need it most when we construct our new normal.
1 Common Sense Media is one source to find graphic novels by age group.
i R. Rumberger, H. Addis, E. Allensworth, R. Balfanz, J. Bruch, E. Dillon, D. Duardo, M. Dynarski, J. Furgeson, M. Jayanthi, R. Newman-Gonchar, K. Place, & C. Tuttle (2017). Preventing dropout in secondary schools(NCEE 2017–4028). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance (NCEE). https://eric.ed.gov/?id=ED575971
ii Rumberger et al. (2017).
iii E. M. Allensworth, J. A. Gwynne, A. S. Pareja, J. Sebastian, & W. D. Stevens (2014). Free to fail or on-track to college: Setting the stage for academic challenge: Classroom control and student support (Research Brief). Chicago, IL: University of Chicago Consortium on Chicago School Research. https://consortium.uchicago.edu /sites/default/files/2018-10/FoF%20Academic%20Challenge.pdf
iv R. Balfanz, L. Herzog, & D. J. Mac Iver (2007). Preventing student disengagement and keeping students on the graduation path in urban middle-grades schools: Early identification and effective interventions. Educational Psychologist, 42(4), 223–235. https://doi.org/10.1080/00461520701621079
v A. J. Bowers, R. Sprott, & S. A. Taff (2013). Do we know who will drop out? A review of the predictors of dropping out of high school: Precision, sensitivity, and specificity. The High School Journal, 96(2), 77–100. https://doi.org/ 10.1353/hsj.2013.0000
vi A. Meltzer, K. Muir, & L. Craig (2016). The role of trusted adults in young people's social and economic lives. Youth & Society, 50(5), 575–592. https://doi.org/10.1177/0044118X16637610
vii D. Murphey, T. Bandy, H. Schmitz, & K. Moore (2013). Caring adults: Important for positive child well-being (Research Brief). Bethesda, MD: Child Trends. https://www.childtrends.org/wp-content/uploads/2013/12/2013-54CaringAdults.pdf
viii National Scientific Council on the Developing Child (2015). Supportive relationships and active skill-building strengthen the foundations of resilience (Working Paper 13). Cambridge, MA: Harvard University, Center on for the Developing Child. https://developingchild.harvard.edu/resources/supportive-relationships-and-active-skill-building-strengthen-the-foundations-of-resilience/
ix J. Pringle, R. Whitehead, D. Milne, E. Scott, & J. McAteer. (2018). The relationship between a trusted adult and adolescent outcomes: A protocol of a scoping review. Systematic Reviews, 7(207). https://doi.org/10.1186/s13643-018-0873-8
x M. Ungar (2013). The impact of youth-adult relationships on resilience. International Journal of Child, Youth and Family Studies, 4(3), 328–336. https://doi.org/10.18357/ijcyfs43201312431
xi D. J. Shernoff, & J. A. Schmidt (2008). Further evidence of an engagement-achievement paradox among U.S. high school students. Journal of Youth and Adolescence, 37, 564–580. http://doi.org/10.1007/s10964-007-9241-z
Author(s)
Laura Kassner
Deborah Jonas
Steve Klein
Director, Center for School, Family, and Community at Education Northwest
Connect with REL Appalachia