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de Oliveira Neto, Jose Dutra; Huang, Wenhao David; de Azevedo Melli, Nádia Cristina – Educational Technology Research and Development, 2015
Implementing online technologies alone cannot ensure learning. A verified approach is needed to optimize the pedagogical effect of online learning. Previous studies have suggested that the application of the modality principle in multimedia design improves the efficiency of learning by reducing cognitive load. Nevertheless, this design approach…
Descriptors: Foreign Countries, Electronic Learning, Instructional Design, Multimedia Instruction
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals

Lepke, Helen S. – Foreign Language Annals, 1978
Describes features of Harry Reinert's "ELSIE"; Joseph Hill's "Cognitive Style Interest Inventory"; Anthony Papalia's "Learning Modalities and Individual Difference Inventories"; David Hunt's "Paragraph Completion Method"; and the Dunn, Dunn, and Price "Learning Style Inventory." Although dissimilar in scope and emphases, these instruments…
Descriptors: Academic Achievement, Cognitive Processes, Cognitive Style, Cognitive Tests
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