Tag Archive: CERP Infographics

These infographics are brought to you by the CRA’s Center for Evaluating the Research Pipeline (CERP). CERP provides social science research and comparative evaluation for the computing community. To learn more about CERP, visit our website.

This material is based upon work supported by the National Science Foundation under Grant Number (CNS-1246649; DUE-1431112). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

May InfographicMay Infographic

More CREU Students Attend Graduate School Compared to Other REU Students

By: Burçin Tamer, CERP Research ScientistIn: /

This infographic compares post-graduation plans of undergraduate students with different REU (Research Experience for Undergraduates) experiences using CERP’s annual spring survey for graduating students. Specifically, CRA-W/CDC Alliance’s Collaborative Research Experiences for Undergraduates (CREU) participants, students who participated in other REUs, and students with no REU experience were compared in terms of whether they were attending graduate school (Master’s or Ph.D.) in the upcoming fall semester. The students included in this analysis are men from racial/ethnic groups who are underrepresented in computing and women because the CREU program is targeted specifically toward these students. Approximately the same number of women and men are in all three groups.

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CERP
CERP infographicCERP infographic

Cognitive Disorders are the Most Common Disability Reported by Undergraduate Students in Computing

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CERP’s 2016 Data Buddies survey collected data on students’ disability status from 6,447 undergraduate students in computing. Eight percent of these students reported having at least one type of disability. This chart illustrates that the most common disabilities are not visible. These data serve as a reminder that some computing students may be faced with an additional set of challenges in and outside of the classroom due to their disability or disabilities.

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CERP
March infographicMarch infographic

Participation Rate in Computing-Related Contests Highest Among Men, and Among Asian Students

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During the fall 2016 academic semester, CERP collected data from 5,208 undergraduate students currently or previously enrolled in computing courses at a sample of U.S. colleges and universities. Students were asked whether they had participated in any computing-related contests (e.g., hackathons or robotics competitions) during the past year. Some believe this type of activity can help resumes stand out and makes applicants competitive on the job market (e.g., Harnett, 2016; Mone, 2016). We found men were more likely than women, and Asian students were more likely than their peers, to report having participated in computing-related contests. To help promote a level applicant playing field, contest organizers should consider modifying recruitment strategies to target groups who are less likely to participate, such as women.

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CERP
Feburary InfographicFeburary Infographic

Nearly 10 Years Later, CRA-W Career Mentoring Workshop Participants are More Advanced in their Careers Than Non-Participants

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CERP recently extracted Web data to observe the career progression of women who had participated in the CRA-W’s 2008 or 2009 Career Mentoring Workshops (CMWs) compared to a sample of women who had never participated in CMWs. We obtained the comparison sample from a population of women who earned their Ph.D.s in computer science during the same time period as the participants. We collected current career information including job titles (e.g., associate professor) and job setting (e.g., academia vs. industry/labs) for both groups. We then categorized job titles as entry level (e.g., assistant professor, software engineer), mid level (e.g., associate professor, senior engineer), and senior level (e.g., professor, principal program manager), collapsed across job setting. To test for a systematic difference in job rankings between workshop participants and the comparison group, we ran a 2 (Group) x 3 (Job Title Rank) Chi-squared test and found a statistically significant difference in rankings across the two groups, χ2 (2, N = 181) = 8.46, p < 0.05. Specifically, CMW participants were less likely than non-participants to be in an entry level position, p < .05, and more likely to be in a senior level position than non-participants, p < .05.

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CERP
Why students leave computingWhy students leave computing

Difficulties with Coursework Make Students Consider Leaving Computing; Job Prospects and Support from Friends and Family Help Students Stay

In: /

In CERP’s 2015 Data Buddies survey, computing majors were asked whether they had thought about changing to a non-computing major during the past year. Thirteen percent of students who responded to this question said that they had. The word clouds here were created using students’ comments about the reasons they considered leaving computing and factors that helped them stay. Some of the most frequently encountered words in students’ reasons for considering leaving computing were “classes”, “hard”, “difficult”, “work”, and “time”. On the other hand, students’ responses regarding the factors that helped them stay in computing contained words such as “job”, “degree”, and “friends”.

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CERP
cerp-infographiccerp-infographic

After Leaving Computing, New Majors Tend to Differ by Gender

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As computing departments across the U.S. wrestle with increased enrollment, it is important to recognize that not everyone who becomes a computing major stays a computing major. In 2014, CERP collected data from a cohort of U.S. undergraduate students who agreed to be contacted for follow-up surveys in 2015. While most of the students surveyed remained computing majors (96%), some students changed to a non-computing major. As shown in the graphic above, students in our sample moved to a variety of majors, and the type of new major tended to differ by gender. Most men (69%) who left a computing major switched to engineering, math/statistics, or physical science majors. On the other hand, most women (53%) tended to move to social sciences, or humanities/arts. These data are consistent with existing social science research indicating women tend to choose fields that have clear social applications, such as the social sciences, arts, and humanities. CERP’s future analyses will explore why women, versus men, say they are leaving computing for other fields.

Note this summary of longitudinal survey data is suggestive and is intended to spur further empirical investigation. Given our sample size, we did not run inferential statistics and do not claim the gender differences are significantly different. As such, the findings reported here should be interpreted with caution.

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CERP
October InfographicOctober Infographic

Undergraduate Computing Majors Talk about Institutional Support at Their College or University for Becoming a Middle or High School Teacher

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CERP asked 3,616 undergraduate computing majors about their perceptions of institutional support for becoming a middle or high school computing teacher. As seen here, very few students in this sample have been exposed to this career path in their department, and more than one-third of students perceive the career path as viewed negatively in their department. Furthermore, few students knew where to seek advice for this career path at their institution. These data suggest colleges and universities in general, and computing departments specifically, could improve the amount of emphasis placed on teaching middle or high school computing. In turn, this might result in increased interest by computing majors in becoming middle or high school computing teachers. Given recent efforts to promote widespread K-12 computing education, enhancing support for students who might be interested in becoming middle or high school computing teachers is important.

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CERP
CERP Infographic_CERP Infographic_

Ph.D. Students’ Interest in Computing Career Options

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In 2015, CERP asked 1,335 students enrolled in Ph.D. programs to report their interest in a variety of computing professions. The distribution of students’ year in their program was as follows: 22% first year, 21% second year, 13% third year, 12% fourth year, 10% fifth year, 10% sixth year or greater, and 12% unspecified. As seen in the graphic above, students were most interested in pursuing a computing research job in industry, followed by tenure track computing faculty at a research university, computing researcher in a government lab, and entrepreneurial work in computing. Students were least interested in becoming a middle or high school computing teacher.

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CERP
Asian Versus White Student SUpportAsian Versus White Student SUpport

A Comparison of East Asian, South Asian, Southeast Asian, and White Undergraduate Student Familial Support

In: /

Education research focusing on diversity in computing in the United States often considers Asian/Asian American students and White students to be “advantaged” demographic groups. However, Data Buddies survey data collected during the fall of 2015 indicate Asian/Asian American versus White students’ experiences pursuing computing degrees may differ. For instance, CERP examined undergraduate students’ family support for pursuing a computing degree. Whereas South Asian students’ level of family support was statistically equivalent to that of White students, East Asian and Southeast Asian students’ family support was significantly lower than that of their White peers, p ≤ .05. These findings suggest Asian/Asian American and White students may overlap in some experiences in computing, but this overlap may depend on students’ cultural identities within their Asian/Asian American identities.

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CERP
CERP May 2016CERP May 2016

Education Funding for First-Generation Versus Continuing-Generation Undergraduate Students

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In CERP’s annual survey of undergraduate students in computing fields, students were asked to identify the resources they are using to fund their education. They could select multiple resources. This graphic shows the distribution of responses for first-generation versus continuing-generation college students. The percentages are the number of students who selected a particular funding source out of the number of students within each group (total first-generation students = 1,076; continuing-generation students = 7,157). While first-generation students’ most frequent source of education funding comes from federal loans, continuing-generation students rely most frequently on financial support from their parents. The data also show that first-generation and continuing-generation students take out private loans, make use of their personal savings, receive scholarships and/or grants, work part- or full-time, and are supported by their spouse or partner at similar rates.

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CERP
April 2016April 2016

Factors that Increase Students’ Interest in Becoming a Middle or High School Computing Teacher

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CERP asked undergraduate computing majors what would increase their interest in becoming a middle or high school computing teacher. This infographic shows that financial incentive in the form of a higher teaching salary, free tuition for teacher training, and forgiven student loans were the top factors increasing students’ interest in becoming a middle or high school computing teacher. These findings provide insights into how to generate more computing educators for the K-12 school system, which is becoming increasingly important, given recent efforts to promote widespread K-12 computing education.

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CERP