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Karen Stansberry Beard; Mitchell Shortt; Kui Xie – Review of Educational Research, 2025
COVID-19 required educators and students to rapidly move to online learning. Simultaneously, while navigating the pandemic in lockdown, citizens were exposed to the brutal murder of George Floyd. The increased exposure to online activity and discrimination generated a hyperawareness of the potential link between the two. Our interest was to…
Descriptors: Racial Discrimination, Social Problems, Electronic Learning, COVID-19
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Harju, Vilhelmiina; Koskinen, Antti; Pehkonen, Leila – Educational Research, 2019
Background: The importance of digital technologies for enhancing learning in formal education settings has been widely acknowledged. In the light of this expectation, it is important to investigate the effects of these technologies on students' learning and development. Purpose: This study explores longitudinal empirical research on digital…
Descriptors: Longitudinal Studies, Electronic Learning, Elementary Secondary Education, Influence of Technology
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Baudoin, Emmanuel – International Journal of Training and Development, 2010
The implementation of e-learning by companies in France is ongoing. One of their issues is to improve the learning experience of their employees. From our point of view, this implies that they must better understand the learning experience of the employees. This paper suggests a qualitative approach to learning in order to identify the diversity…
Descriptors: Electronic Learning, Employees, Learning Processes, Foreign Countries
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