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This research WIP paper describes computer science undergraduate students’ perceptions of career pathways and becoming K-12 computer science teachers. Computer science (CS) education has become critical with the rapid pace of technological development to better prepare students for national technology and economic competitiveness and security. According to Code.org, 57.5% of U.S. public high schools offer foundational computer science courses in 2023; unfortunately, access to the courses remains unequal and maintains wide disparities by race/ethnicity and social class. For instance, Hispanics are 1.4 times less likely to take foundational CS courses compared to their white and Asian peers, and students with low socio-economic status are underrepresented in the overall population. The shortage of CS teachers is one of the significant barriers to why minoritized groups of students do not have equal access to learning CS. Various programmatic efforts have been implemented to address the gap, including the recruitment of undergraduate students who will earn bachelor’s degrees in computing. This approach has been considered innovative in building a new pipeline for producing highly qualified CS teachers with the ability to transform computing education and the CS teacher community rather than training in-service teachers certified in other disciplines to receive credentials to teach CS. Studies report that CS degree recipients opt for industry roles and exhibit disinterest in alternative career pathways, such as teaching because they perceive this profession as having lower salaries and unfavorable aspects associated with the job. However, we need a more prosperous and in-depth understanding of why CS degree holders consider industry jobs of greater importance rather than teaching, which would reduce the disparity in K-12 computing education. As a first attempt to better understand the perceptions of computer science undergraduate students at an Hispanic-Serving Institution (HSI), we collected qualitative data (i.e., student artifacts) in a course offered in the computer science department. Driven by social cognitive career and FIT-choice theory, our findings from the preliminary analysis indicate that CS undergraduate students at an HSI acknowledged the importance of K-12 CS teachers in their communities, but at the same time, they have more concerns about the underpayment and undervaluation of the job. They have shown a conflict between their perceptions of teaching CS and their own career aspirations as CS teachers. These preliminary findings draw attention to the importance of uncovering common career plans among CS undergraduate students. 

This research WIP paper describes computer science undergraduate students’ perceptions of career pathways and becoming K-12 computer science teachers. Computer science (CS) education has become critical with the rapid pace of technological development to better prepare students for national technology and economic competitiveness and security. According to Code.org, 57.5% of U.S. public high schools offer foundational computer science courses in 2023; unfortunately, access to the courses remains unequal and maintains wide disparities by race/ethnicity and social class. For instance, Hispanics are 1.4 times less likely to take foundational CS courses compared to their white and Asian peers, and students with low socio-economic status are underrepresented in the overall population. The shortage of CS teachers is one of the significant barriers to why minoritized groups of students do not have equal access to learning CS. Various programmatic efforts have been implemented to address the gap, including the recruitment of undergraduate students who will earn bachelor’s degrees in computing. This approach has been considered innovative in building a new pipeline for producing highly qualified CS teachers with the ability to transform computing education and the CS teacher community rather than training in-service teachers certified in other disciplines to receive credentials to teach CS. Studies report that CS degree recipients opt for industry roles and exhibit disinterest in alternative career pathways, such as teaching because they perceive this profession as having lower salaries and unfavorable aspects associated with the job. However, we need a more prosperous and in-depth understanding of why CS degree holders consider industry jobs of greater importance rather than teaching, which would reduce the disparity in K-12 computing education. As a first attempt to better understand the perceptions of computer science undergraduate students at an Hispanic-Serving Institution (HSI), we collected qualitative data (i.e., student artifacts) in a course offered in the computer science department. Driven by social cognitive career and FIT-choice theory, our findings from the preliminary analysis indicate that CS undergraduate students at an HSI acknowledged the importance of K-12 CS teachers in their communities, but at the same time, they have more concerns about the underpayment and undervaluation of the job. They have shown a conflict between their perceptions of teaching CS and their own career aspirations as CS teachers. These preliminary findings draw attention to the importance of uncovering common career plans among CS undergraduate students. 

This Innovative Practice paper describes the Local Research Experiences for Undergraduates (LREU) program that was established by the Computing Alliance of Hispanic-Serving Institutions (CAHSI) at Hispanic-serving institutions (HSIs) in 2021 to increase the number of students, particularly students from underrepresented populations, who enter graduate programs in computer science. Since its first offering in Spring 2022, the LREU program has involved 182 faculty and 253 students. The LREU program funds undergraduate research experiences at the students’ home institutions with an emphasis on first-generation students and those with financial needs. The motivation for the program is to address the low number of domestic students, particularly Hispanics and other minoritized populations, who seek and complete graduate degrees. Research shows that participation in research activities predicts college outcomes such as GPA, retention, and persistence. Even though these studies inform us of the importance of REU programs, many programmatic efforts are summer experiences and, while students may receive support, faculty mentors rarely receive coaching or professional development efforts. What distinguishes the LREU program is the focus on the deliberative development of students’ professional and research skills; faculty coaching on the Affinity Research Group model; and the learning community established to share experiences and practices and to learn from each other. Students, who are matched with faculty mentors based on their areas of interest, work with their mentor to co-create a research plan. Students keep a research journal in which they record what they have learned and identify areas for their growth and development as researchers. The LREU provides an opportunity for the LREU participants to cultivate a growth mindset through deliberate practice and reflection from personal, professional, social, and academic perspectives. The paper discusses the multi-institutional perspectives that help CAHSI understand the types of challenges faced in undergraduate research programs, how faculty mentors communicate and make decisions, and how mentors resolve challenges, allowing the research community to better understand students’ and faculty experiences. In addition, the paper reports on research and evaluation results that documented mentors’ growth in their knowledge of effective research mentoring practices and students’ learning gains in research and other skills. The paper also describes the impact of the learning community, e.g., how it supports developing strategies for interaction with and mentoring students from underrepresented populations. 

Gaining Early Awareness and Readiness for Undergraduate Programs (GEAR UP) is a federal program designed to promote postsecondary readiness and success among low-income students. Some evidence suggests that this program promotes college enrollment and persistence, but GEAR UP may include a wide variety of services, and it is unclear which ones actually contribute to these apparent overall effects. The present study investigates this issue using doubly robust propensity score analyses to provide stronger causal conclusions. Four general service types and seven specific services were examined; the results provide important implications for GEAR UP and other programs designed to promote postsecondary attainment.