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Konold, Clifford; Finzer, William; Kreetong, Kosoom – Statistics Education Research Journal, 2017
We gave participants diagrams of traffic on two roads with information about eight attributes, including the type of each vehicle, its speed, direction and the width of the road. Their task was to record and organize the data to assist city planners in its analysis. Successfully encoding the information required the creation of a case, a physical…
Descriptors: Models, Data, Worksheets, Visual Aids
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Cromley, Jennifer G.; Bergey, Bradley W.; Fitzhugh, Shannon; Newcombe, Nora; Wills, Theodore W.; Shipley, Thomas F.; Tanaka, Jacqueline C. – Learning and Instruction, 2013
Can students be taught to better comprehend the diagrams in their textbooks? Can such teaching transfer to uninstructed diagrams in the same domain or even in a new domain? What methods work best for these goals? Building on previous research showing positive results compared to control groups in both laboratory studies and short-term…
Descriptors: Reading Comprehension, Cooperative Learning, Biology, Control Groups
Simpson, Timothy J. – 1995
This paper examines the dual coding hypothesis, a model of the coding of visual and textual information, from the perspective of a mass media professional, such as a teacher, interested in accurately presenting both visual and textual material to a mass audience (i.e., students). It offers an extension to the theory, based upon the various skill…
Descriptors: Coding, Cognitive Processes, Communication (Thought Transfer), Information Processing
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