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Direct linkVenkataraman, Rohith; Agarwal, Eshan; Brown, David W. – International Journal on E-Learning, 2019
A strong gender disparity exists within the computer science (CS) field, and this imbalance stretches from the professional domain down to the educational level. In a 2013 study (Venkataraman et. al 2013), students (n = 127) of a northeastern STEM high school were surveyed. Responses were collected and analyzed using the Kruskal-Wallis statistical…
Descriptors: Elementary Secondary Education, Gender Differences, Computer Science Education, STEM Education
Download full textRafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Cheong, Yuk Fai; Pajares, Frank; Oberman, Paul S. – Computer Science Education, 2004
The primary objective of this study was to determine the degree to which academic motivation predicted the executive help-seeking, instrumental help-seeking, perceived benefits of help-seeking, and avoidance of help-seeking of high school students enrolled in computer science (n = 314). Task goals were positively associated with instrumental…
Descriptors: African American Students, Self Efficacy, Computer Science, Asian American Students
