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Chopra, Shivangi; Gautreau, Hannah; Khan, Abeer; Mirsafian, Melicaalsadat; Golab, Lukasz – International Educational Data Mining Society, 2018
It is well known that post-secondary science and engineering programs attract fewer female students. In this paper, we analyze gender differences through text mining of over 30,000 applications to the engineering faculty of a large North American university. We use syntactic and semantic analysis methods to highlight differences in motivation,…
Descriptors: Gender Differences, Undergraduate Students, Engineering Education, STEM Education
Johnson, Yolanda; Hofbauer, Pamela – 2002
The purpose of this study was to describe how middle school students physically arrange and organize statistical data. A case-study analysis was used to define and characterize the styles in which students handle, organize, and group statistical data. A series of four statistical tasks (Mooney, Langrall, Hofbauer, & Johnson, 2001) were given…
Descriptors: Concept Formation, Data Processing, Junior High Schools, Mathematics Education