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A MULTILEVEL MODEL PREDICTING SUCCESS IN ONLINE HIGH SCHOOL COURSES FROM STUDENTS' DAYS ACTIVE DURING THE PANDEMIC.

Authors :
Dardick, William R.
Corry, Michael
Coyle, Maria
Source :
Quarterly Review of Distance Education; 2023, Vol. 24 Issue 4, p39-55, 17p, 5 Charts
Publication Year :
2023

Abstract

Student attendance is a predictive measure of success in brick-and-mortar schools with little research examining this relationship in online schools. This study explores students in online classrooms within online schools, to determine if the days a student was active on a course during the Covid-19 pandemic predicted success. A multilevel modeling found fixed effects for level-1 (days active, gender, ethnicity, free and reduced lunch), level-2 (class size, grade-level, and subject), and random slope for days active significant. School size did not improve the model. Student days active is a powerful predictor and offers insight into student success in online schools. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15283518
Volume :
24
Issue :
4
Database :
Complementary Index
Journal :
Quarterly Review of Distance Education
Publication Type :
Academic Journal
Accession number :
177210993