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Thematic Patterns in International Blended Learning Literature, Research, Practices, and Terminology
Peer reviewed
Download full textSpring, Kristian J.; Graham, Charles R. – Online Learning, 2017
The goal of this research was to discover and compare themes of the top blended learning (BL) articles from seven different regions of the world. Top cited articles in BL from these regions show strong similarities in research processes, practice, terminology, and focus. Small differences are apparent among the regions and top articles in general,…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Foreign Countries
Connell, Michael W.; Johnston, Sam Catherine; Hall, Tracey E.; Stahl, William – Journal of Online Learning Research, 2017
Within blended learning environments, the availability and analysis of student data has emerged as a central issue. For struggling students, data generated by digital learning systems present new opportunities to investigate critical success factors. In reality, many seemingly basic questions about persistence, progress, and performance of these…
Descriptors: Educational Technology, Technology Uses in Education, Disabilities, Online Courses
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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
