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Paloma Sepulveda-Parrini; Paloma Valdivia-Vizarreta; Pilar Pineda-Herrero – Teaching in Higher Education, 2025
In this Point of Departure, we will present six key concepts, grouped into the following three dimensions which are salient for incorporating a cyberfeminist perspective into online higher education: Critical technologies (Platform capitalism and Digital gender gaps), Gendered gazes (Digital gender-based violence and Safer spaces) and…
Descriptors: Higher Education, Educational Quality, Electronic Learning, Internet
Rusen Meylani – International Society for Technology, Education, and Science, 2023
Due to the COVID-19 pandemic, there has been a significant change in college mathematics education toward online learning, which has advantages and disadvantages for students, instructors, and institutions. To ensure the effectiveness of online learning, it is crucial to understand the factors that influence its success. This study looks at the…
Descriptors: COVID-19, Pandemics, Instructional Effectiveness, 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