Belonging Uncertainty of Women in Quantitative Fields Such as Math

This study does not feel incompetence and reveals possible solutions to enhance self-confidence and self-esteem of those who want to pursue STEM's bigger women without killing better people. At today's university, we do not recommend participation in the STEM program, as there are several fixed ideas that women have no natural ability to succeed, unlike men. This leads to uncertainty of belonging consciousness, which means that individuals feel inappropriate for society (Smith, Lewis, Hawthorne, & Hodges, 2012).

There are generally two women (science, technology, engineering, and mathematics) who accept the truth and do the business. In these fields, men are more than women, society is considered "not female," and STEM's career choice is avoided. The National Science Foundation has conducted nationwide efforts to attract girls and young women to STEM. According to NSF statistics, in the past two decades, there was little difference in bioscience, social science, mathematics, and physics science without genders, when a bachelor's degree in STEM was awarded to female students. The only STEM area where the number of men far exceeds the number of women is computer science and engineering. At the actual labor level, you can see the same pattern.

Why are there few women in the STEM field? There is no difference in achievement between school mathematics and scientific gender, and there is no gaps in interest in early education. However, the enrollment rate of the university's science and engineering course is much lower than men, and women acquired nearly 60% of the bachelor's degree in 2013, but only 17.9% of computer science degrees were acquired by women . And only 40% of physics science and mathematics degrees

Mathematical SAT and algebra require abstract quantitative reasoning. Differences in the degree of achievement in mathematics maximize the impact of recruitment in areas with sophisticated quantitative requirements. According to the annual Taulbee survey of the Computing Association, in 2016, 1% of the doctorate in computer science was used for blacks or 17 out of 1659 doctors. Three black people got a doctorate in computer engineering, accounting for 3.4% of the total. Negro acquires 0.7% of computer science degree and 3% of bachelor's degree in computer science. However, the largest Silicon Valley companies claim that their own implicit bias is responsible for the ethnicity (and gender) of their labor force. Brian Welle, a member of Google's Personnel Analysis (Human Resources) department, lectures widely about implicit prejudice and IAT, but Google refuses to interview with analysts