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Download full textWright, Graham; Volodarsky, Sasha; Hecht, Shahar; Saxe, Leonard – Online Learning, 2023
Although there is substantial research on the effectiveness of online learning at the individual class level, there is little reliable data on how a shift to a mostly or fully virtual campus would impact undergraduates' satisfaction, engagement, and academic achievement. Until the COVID-19 pandemic, the limited adoption of widespread online…
Descriptors: Student Satisfaction, Online Courses, COVID-19, Pandemics
Kristine Webster – Online Learning, 2024
The COVID-19 pandemic led to worldwide school closures and a sudden shift to online instruction, which adversely effected academic performance for many students. This study investigated whether demographic characteristics were associated with decreased academic outcomes among newly struggling high school students during COVID-19 online learning.…
Descriptors: COVID-19, Pandemics, High School Students, Online Courses
Martin, Florence; Stamper, Brandy; Flowers, Claudia – Online Learning, 2020
This survey study examined student readiness for online learning in 2018 through the dimensions of importance placed by the student in online learning and the student's confidence in their ability as measures of readiness. An instrument with four subscales of competencies (online student attributes, time management, communication, and technical)…
Descriptors: Student Attitudes, Electronic Learning, Online Courses, Learning Readiness
Means, Barbara; Neisler, Julie – Online Learning, 2021
This article describes findings from the "Survey of Student Perceptions of Remote Teaching and Learning," which was administered to a random national sample of 1,008 U.S. undergraduates taking for-credit college courses that began with in-person classes and shifted to remote instruction in spring 2020. Course satisfaction levels were…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Nadasen, Denise; List, Alexandra – Online Learning, 2016
Students' re-enrollment in the subsequent semester after their first semester at a four-year institution is a strong predictor of retention and graduation. This is especially true for students who transfer from a community college to a four-year institution because of the many external or non-academic factors influencing a student's decision to…
Descriptors: Community Colleges, Prior Learning, Academic Achievement, Prediction
Rockinson-Szapkiw, Amanda J.; Holmes, Joe; Stephen, Jacqueline S. – Online Learning, 2019
Based on a synthesis of persistence theory and the empirical literature, an online doctoral program integration model was developed using data from 232 online EdD students. A predictive, correlation design and regression analysis were used to examine if personal factors (gender, race, age, marital status, and presence of children in the home) and…
Descriptors: Online Courses, Doctoral Programs, Student Characteristics, Graduate Students
