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Kristi Bright; Jane S. Vogler – Online Learning, 2024
Undergraduate enrollment in online courses has been trending upward over the past decade, despite declining enrollment overall. With the onset of COVID-19 during the Spring 2020 semester, more undergraduates were suddenly thrust into online courses. Although learning outcomes for face-to-face and online courses may not differ, some students may…
Descriptors: Electronic Learning, In Person Learning, Student Attitudes, Preferences
Claire Wladis; Alyse C. Hachey; Catherine A. Manly; Katherine M. Conway – Online Learning, 2025
Due to ethical and practical concerns, no large randomized controlled trials comparing outcomes in fully online versus face-to-face courses have occurred. However, circumstances presented by the COVID-19 pandemic created a unique opportunity to explore hypotheses about the relationship between online medium and course outcomes. The City University…
Descriptors: Higher Education, COVID-19, Pandemics, Electronic Learning
Chen, Chun-Ying; Pedersen, Susan; Murphy, Karen L. – Research in Learning Technology, 2011
Many studies report information overload as one of the main problems that students encounter in online learning via computer-mediated communication. This study aimed to explore the sources of online students' information overload and offer suggestions for increasing students' cognitive resources for learning. Participants were 12 graduate students…
Descriptors: Electronic Learning, Graduate Students, Computer Mediated Communication, Discussion
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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