文献类型： 会议论文

第一作者： Oluwafemi Osho

作者： Oluwafemi Osho ¹ ; Ananya Gupta ¹ ; Devon Brown ² ; Bart Knijnenburg ¹ ; Cazembe Kennedy ³ ; Gloria Washington ² ; Stacey Sexton ⁴ ; Lingyuan Li ¹ ; Eileen Kraemer ¹ ; John Porter ⁵ ; Kinnis Gosha ⁵ ;

作者机构： 1.Clemson Univesity, Clemson, SC, U.S.A

2.Howard University), Washington, DC, U.S.A

3.Vanderbilt University, Nashville, TN, U.S.A

4.Sagefox Consulting Group, Amherst, CA, U.S.A

5.Morehouse College, Atlanta, GA, U.S.A

关键词： Surveys;Computer science;Current measurement;Instruments;Education;Psychology;Robustness

会议名称： Black Issues in Computing Education Symposium

主办单位：

页码： 8-14

摘要： This paper discusses research aimed at developing, validating, and improving the robustness of survey scales to assess the subjective factors that impact the retention and graduation rates of underrepresented minorities (URMs) in computer science (CS) undergraduate programs. Our iterative scale development process consisted of: 1. Selecting questions from existing CS survey instruments; 2. Administering the survey at three different institutions; 3. Conducting exploratory and confirmatory factor analyses on the survey items; and 4. Updating the items based on the analysis results. Although a few of the scales are still a work in progress, after two iterative rounds with three surveys (N = 184, N = 338, N = 450), we established fourteen robust factors that can be adopted in future studies. The factors measure students' attitude toward CS, intention to continue their CS trajectory, three factors regarding students' beliefs about computer scientists, computing identity, current experience, proactive and preemptive help-seeking, familiarity with future opportunities, persistence, leadership, confidence, and perception of social support. Further, we demonstrate that these scales can be used to uncover differences between different groups of students (e.g., men and women, Black and non-Black students).

分类号： tp3-53