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Wilson-Lopez, Amy; Gregory, Stacie; Larsen, Victor – Journal of Pre-College Engineering Education Research, 2016
For decades, researchers have asserted that K-12 teachers should embed reading comprehension instruction within each academic discipline, including "technical subjects" such as engineering. Recently, this assertion has become a source of controversy among researchers and practitioners who believe that time spent on teaching reading…
Descriptors: Elementary School Students, Reading Comprehension, Engineering, Reading Strategies
Chen, Gaowei; Clarke, Sherice N.; Resnick, Lauren B. – Technology, Instruction, Cognition and Learning, 2015
Teachers can reflect on and analyze their classroom discourse to inform their instructional practice. When teachers try to do so however, they often face analytic difficulties, which include the data set (e.g., data input, data transformation, and utterances by unknown speakers), coding (e.g., coding complexity, reliability, and efficiency),…
Descriptors: Discourse Analysis, Classroom Communication, Teaching Methods, Visualization
Zorba, Mehmet Galip – Online Submission, 2014
Along with language teaching purposes, coursebooks also convey different kinds of cultural and social messages through both written texts and visualization. Therefore, studying coursebooks in terms of such qualities is necessary in foreign language education. In the learning process, visualization plays a pivotal role since visuals cater for…
Descriptors: Textbooks, Textbook Content, Textbook Evaluation, Secondary Education
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

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