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There is a substantial shortage of students pursuing graduate degrees in computing fields in the United States [1], and when examining participation rates of minoritized populations the disparity is even greater [2]. In order to attract more domestic students to graduate schools in computing it is important to understand what factors encourage or discourage them from participating. Literature suggests that students’ family, friends, school, and society play an important role in their educational paths and self-perceptions. Using social impact theory as the guiding lens, we explored support from family and friends, as well as social and program-related experiences, in this study to assess their impact on undergraduate students' reported interest in pursuing a graduate degree. The research questions that guided this study are 1) Which social and programmatic experiences have the greatest impact on students’ interest in pursuing a graduate degree in computing?; and 2) How does a student’s gender/racial/ethnic background and their participation in social and programmatic experiences impact students’ interest in pursuing graduate degrees? We answered these research questions using data from a survey conducted at three large public universities in Florida which targeted students in computing fields (n=740). Data was analyzed using Kruskal-Wallis and Wilcoxon rank sum tests, as well as logistic regression. The findings revealed that “presenting work to other students,” and “research experience” are two experiences which lead to an increase of students’ interest in pursuing a graduate degree in a computing field. This study also demonstrated the importance of having same gender friends and reported interest in pursuing a graduate degree in a computing field. These findings provide insight into which experiences may impact domestic students' interest in pursuing graduate programs in computing fields. The results of this study are beneficial for universities to consider what factors may encourage more students to pursue a future in academia or in the workforce after obtaining a graduate degree. 

There is a substantial shortage of students pursuing graduate degrees in computing fields in the United States [1], and when examining participation rates of minoritized populations the disparity is even greater [2]. In order to attract more domestic students to graduate schools in computing it is important to understand what factors encourage or discourage them from participation. Literature suggests that students’ family, friends, school, and society play an important role in students' educational paths, and their own self-perceptions. Using social impact theory as the guiding lens, we explore support from family and friends, as well as social and program-related experiences, in this study to assess their impact on undergraduate students' reported interest in pursuing a graduate degree. The research questions guiding this study are 1) Which social and programmatic experiences have the greatest impact on students’ interest in pursuing a graduate degree in computing?; and 2) How does a student’s gender/racial/ethnic background and their participation in social and programmatic experiences impact students’ interest in pursuing graduate degrees? We answered these research questions using data from a survey conducted at three large public universities in Florida which targeted students in computing fields (n=740). Data was analyzed using Kruskal-Wallis and Wilcoxon rank sum tests, as well as logistic regression. The findings revealed that “presenting work to other students,” and “research experience” are two experiences which lead to an increase of students’ interest in pursuing a graduate degree in a computing field. This study also revealed the importance of having same gender friends and reported interest in pursuing a graduate degree in a computing field. These findings provide insight into which experiences may impact domestic students' interest in pursuing graduate programs in computing fields. The results of this study are beneficial for universities to consider for encouraging more students to pursue a future in academia or in the workforce after obtaining a graduate degree. 

The lack of diversity in computing fields in the United States is a known issue. Students enter the computing fields with the intention of graduating; however, a large number leave and do not persist after enrolling, due to discrimination and biases. This particularly concerns groups already underrepresented in computing fields, such as women, Black/African American students, and Hispanic/Latinx students. However, there are various experiences that can make students feel more included or excluded in the field. Some of these experiences include internships, undergraduate research, capstone courses, and projects, etc. Drawing on Astin’s I-E-O model and applying a random forest algorithm, we measure the feature importance of 14 distinct experiences on 1650 students’ feelings of inclusivity in the computing field. We observe that there are gender and racial differences in terms of the opinions of computing fields’ inclusivity. For example, tutoring experience, job offers, and job experience are considered some of the most important factors for female’s perceived inclusiveness of women. However, men perceived women’s inclusivity differently, based on the experiences they engaged in. We also looked at the perceived inclusiveness of computing fields for ethnically and racially underrepresented groups, such as Hispanic/Latinx students. Understanding the effect of different experiences on students of both genders with different races and ethnicities on the perceived inclusion could assist the computing community to provide more cohesive experiences that benefits all students and helps them to feel more welcome. 

The participation of female students in STEM majors, particularly computing and engineering, has remained low. In this study, our goal is to understand the most important factors influencing female students towards computing majors. We studied the impact of family and friends on four different racial groups including White, Black, Hispanic, and Asian students who chose computing majors (n=1650). The results of the study indicated friends had a positive significant role on White female students’ major decisions.