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Direct linkScalco, Karina C.; Talanquer, Vicente; Kiill, Keila B.; Cordeiro, Marcia R. – Journal of Chemical Education, 2018
We present the results of a qualitative research study designed to explore differences in the types of reasoning triggered by information presented to chemistry students in two different formats. One group of students was asked to analyze a sequence of images designed to represent critical elements in the explanation of a target phenomenon.…
Descriptors: Chemistry, Abstract Reasoning, Sequential Approach, Science Process Skills
Jian, Yu-Cin – Reading Research Quarterly, 2016
Previous research suggests that multiple representations can improve science reading comprehension. This facilitation effect is premised on the observation that readers can efficiently integrate information in text and diagram formats; however, this effect in young readers is still contested. Using eye-tracking technology and sequential analysis,…
Descriptors: Reading Comprehension, Content Area Reading, Science Instruction, Eye Movements
Sherman, Richard H. – 1978
The commonly-used instructional sequence in which children read material silently and then read it orally is simply not effective. The arguments presented by E.A. Betts in 1957 for silent before oral reading can be countered point by point. Studies that have compared various reading conditions have had serious limitations and have failed to show…
Descriptors: Comparative Analysis, Elementary Education, Literature Reviews, Oral Reading
Download full textStamper, 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
