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Yohannes, Abebayehu; Chen, Hsiu-Ling; Chang, Chiu-Chen – Educational Technology Research and Development, 2023
Mathematics reading and spatial ability are important learning components in mathematics education. However, in traditional instruction, it is difficult to develop learners' mathematics reading and spatial abilities. Therefore, many students struggle to understand real-world problems and lack the spatial ability to form internal imagery. To cope…
Descriptors: Electronic Books, Interaction, Middle School Students, Mathematics Skills
Busby, Brittany Danielle – ProQuest LLC, 2018
Most students begin their university studies with adequate mathematical skills to succeed in general chemistry. However, students have a demonstrated difficulty with the application of math in a chemistry context. The ability to apply skills to new contexts is known as transfer, and understanding and enhancing transfer of graphing skills into the…
Descriptors: Transfer of Training, Graphs, Mathematics Skills, Mathematics Education
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Osterholm, Magnus – Educational Studies in Mathematics, 2006
This study compares reading comprehension of three different texts: two mathematical texts and one historical text. The two mathematical texts both present basic concepts of group theory, but one does it using mathematical symbols and the other only uses natural language. A total of 95 upper secondary and university students read one of the…
Descriptors: Symbols (Mathematics), Prior Learning, Mathematics, Natural Language 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