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Bird, Kelli A.; Castleman, Benjamin L.; Lohner, Gabrielle – AERA Open, 2022
The COVID-19 pandemic led to an abrupt shift from in-person to virtual instruction in the spring of 2020. We use two complementary difference-in-differences frameworks: one that leverages within-instructor-by-course variation on whether students started their spring 2020 courses in person or online and another that incorporates student fixed…
Descriptors: COVID-19, Pandemics, Electronic Learning, Community College Students
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Kim, Deoksoon; Wortham, Stanton; Borowiec, Katrina; Yatsu, Drina Kei; Ha, Samantha; Carroll, Stephanie; Wang, Lizhou; Kim, Julie – AERA Open, 2021
The COVID-19 pandemic, an unprecedented public health emergency, challenged higher education and threatened students' well-being in several ways. With the abrupt shift to online learning, were instructors able to maintain a focus on educating whole students, in addition to teaching subject matter? We answer this question by investigating…
Descriptors: COVID-19, Pandemics, Holistic Approach, Student Development
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Rivas, Mariela J.; Baker, Rachel B.; Evans, Brent J. – AERA Open, 2020
Massive open online courses (MOOCs) are marketed as opportunities for participants to improve their labor market outcomes, and tens of thousands of students have paid for career-focused MOOC certificate programs. However, there is limited and conflicting research on MOOCs and labor market outcomes. Using two randomized control trials, we test…
Descriptors: Large Group Instruction, Online Courses, Teaching Methods, Educational Technology
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Darling-Aduana, Jennifer – AERA Open, 2021
Students belonging to marginalized groups experience positive impacts when taught by a teacher of the same race, ethnicity, and gender. The unique nature of standardized, asynchronous online course taking allows for greater separation of any possible educational benefits of student versus teacher-driven mechanisms contributing to these improved…
Descriptors: Distance Education, Online Courses, Electronic Learning, High School Students
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Veletsianos, George; Reich, Justin; Pasquini, Laura A. – AERA Open, 2016
Big data from massive open online courses (MOOCs) have enabled researchers to examine learning processes at almost infinite levels of granularity. Yet, such data sets do not track every important element in the learning process. Many strategies that MOOC learners use to overcome learning challenges are not captured in clickstream and log data. In…
Descriptors: Data Analysis, Data Collection, Online Courses, Learning Strategies