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William R. Dardick; Michael Corry; Maria Coyle – Quarterly Review of Distance Education, 2023
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…
Descriptors: Electronic Learning, High School Students, COVID-19, Pandemics
Taylor, Lakiesha R. – ProQuest LLC, 2018
With a steady increase of virtual learning courses taught throughout K-12 education, limited empirical research exists to allow educational leaders and policy makers the ability to accurately identify student demographic characteristics that correlate to the acquisition of virtual course credit (Barbour, 2009). The purpose of this quantitative…
Descriptors: High School Students, Student Characteristics, Academic Achievement, Academic Persistence
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries