ROLE : Combining New and Mature Data Collection Technologies to Better Understand Factors that Encourage and Discourage African American Women in SMET Education

研究人员担心，参加科学，数学，工程和技术（STEM）教育的女性人数低于年轻男性。这项研究旨在更好地了解年轻的非洲裔美国妇女，谁似乎感兴趣，并在高中期间从事科学，仍然在大学STEM课程的代表性不足。该项目创造了新的数据收集技术，以发现非洲裔美国人社区独特的性别亚文化，有助于他们的决策。据推测，阻碍年轻女性的因素涉及大学中反映性别和种族偏见的互动。该研究将首先分析国家数据集（NELS），以获得科学管道中女性和男性过渡率的国家估计值。然后，它将创建一种方法来评估对科学经验的看法，以及涉及鼓励或阻止女性进入科学专业的与其他人互动的因素。她将制定科学经验的感知措施，这可能有助于解释为什么用NELS数据观察到的科学态度趋势。

The researcher is concerned that the number of women who participate in Science, Mathematics, Engineering, and Technology (STEM) education is lower than that of young men. This study seeks to understand better how young African American women, who appear to be interested and engaged in science during high school years, remain underrepresented in STEM courses in college. The project creates new data collection technologies to find unique gender subcultures of African American communities that contribute to their decision-making. It is hypothesized that factors that discourage young women involve interactions at the university that reflect gender and race bias. The study will first analyze a national data set (NELS) to obtain national estimates of rates of transition of women and men in the science pipeline. Then it will create a method to assess the perceptions of science experiences and factors involving interactions with other people that encourage, or discourage, women to enter science professions. She would develop measures of perceptions of science experiences that might help explain why trends in attitudes toward science observed with NELS data were found.