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In Chicago Public Schools there is a need to provide guidance to schools on placing students into an intro-level CS class (ECS) or the more difficult AP CSP as a student’s first CS class. Previous work created a placement exam based on the ECS curriculum to identify students prepared for AP CSP without taking ECS. This analysis found that after controlling for many variables including GPA, sex, attendance at a selective enrollment school, and perceived value of CS, that the placement score was positively associated with the probability of a student passing the AP CSP exam. 

This study analyzes the impact of the Chicago Alliance for Equity in Computer Science (CAFÉCS) Research Practice Partnership (RPP) on the Chicago Public School (CPS) Office of Computer Science (OCS). Using a qualitative analysis drawing on data from leadership team meetings, published articles and presentations, and evaluation reports from 11 years of the partnership, we utilized a framework developed by the CAFÉCS leadership team to document the impact on district (1) Programs, (2) Research, (3) Organizational Structures, and (4) Policies leading to (5) Equitable Results for students, condensed as PROSPER. In particular, we explore the role of the RPP in supporting a 500% increase in graduating students who completed at least one high school computer science (CS) course between 2016 and 2020 in Chicago Public Schools (CPS). This study adds to the existing literature on assessing the impact of RPPs through the development of the PROSPER Framework, which may be a useful tool to help RPPs examine impacts on partner districts. 

This study investigated how Chicago Public Schools (CPS) computer science (CS) teachers and instructional coaches navigated remote professional development (PD) during the pandemic. Analyzing multiple sources of qualitative data, we explored how coaches adapted PD to address teachers’ unique needs and how teachers experienced remote PD. We found that the coaching team designed PD to help teachers translate key instructional strategies into the remote learning environment and increasingly centered their PD design efforts on improving teacher engagement and wellbeing. Teachers primarily valued the relational aspects of PD, including opportunities for collaboration and personalized support from instructional coaches. Leveraging an ecological framework, we found that the pandemic and remote learning contexts amplified preexisting PD challenges experienced by teachers and coaches. Findings suggest that PD researchers and designers should focus on teacher wellbeing and that districts should invest in flexible and adaptable PD structures to meet CS teachers’ varied needs. 

The goal of this qualitative research is to understand equitable teaching practices of computer science classrooms in the Chicago Public Schools through the video analysis specifically for the Latinx students. Data was collected through video recording from 10 different CPS classrooms. The videos were analyzed qualitative to determine the inquiry driven equitable practices. Though the equitable practices were identified based on the classroom video analysis, literature review on equitable practices and core ECS philosophy informed us to recognize and group the themes and their indicators of equity. This research plays a crucial role in terms of informing the current equitable teaching practices based on the videos in ECS classrooms in Chicago, also the research identifies a need to study further cultural references in terms of teaching computer science curriculum. This research has significance for designing professional development for marginalized population in computer science and possibly for other STEM areas. 

The AP Computer Science A course and exam continually exhibit inequity among over- and under-represented populations. This paper explored three years of AP CS A data in the Chicago Public School district (CPS) from 2016-2019 (N = 561). We analyzed the impact of teacher and student-level variables to determine the extent AP CS A course taking and exam passing differences existed between over- and under-represented populations. Our analyses suggest four prominent findings: (1) CPS, in collaboration with their Research-Practice Partnership (Chicago Alliance for Equity in Computer Science; CAFÉCS), is broadening participation for students taking the AP CS A course; (2) Over- and under- represented students took the AP CS A exam at statistically comparable rates, suggesting differential encouragement to take or not take the AP CS A exam was not prevalent among these demographics; (3) After adjusting for teacher and student-level prior experience, there were no significant differences among over- and under-represented racial categorizations in their likelihoods to pass the AP CS A exam, albeit Female students were 3.3 times less likely to pass the exam than Males overall; (4) Taking the Exploring Computer Science course before AP CS A predicted students being 3.5 times more likely to pass the AP CS A exam than students that did not take ECS before AP CS A. Implications are discussed around secondary computer science course sequencing and lines of inquiry to encourage even greater broadening of participation in the AP CS A course and passing of the AP CS A exam. 

This study compares the characteristics and professional development (PD) experiences between teachers who began teaching Exploring Computer Science before and after the enactment of a CS graduation requirement in the Chicago Public Schools. The post-requirement teachers were less likely to have a CS background, but their experience in the ECS PD and their level of confidence at the end of the PD were equivalent to the early adopters. 

A key strategy for broadening CS participation in the Chicago Public Schools (CPS) has been the enactment of a high school CS graduation requirement. The Exploring Computer Science (ECS) curriculum and professional development (PD) program serve as a core foundation for supporting enactment of this policy. The CAFECS researcher-practitioner partnership provides support for ECS implementation in CPS. An important part of the sustainability of the ECS PD model in CPS is the development of local workshop facilitators. Potential facilitators have generally been selected based on the CAFECS team's personal familiarity with active ECS teachers. Once selected, teachers engage in a two-year apprenticeship program to become facilitators. However, in the three years since the enactment of the policy, the number of ECS teachers and students has grown significantly. This rapid expansion of the CS teaching force has strained the ability to confidently identify new facilitators from a large pool of teachers and ensure consistency of workshop implementation. As a result, CAFECS is exploring how to supplement the ECS Facilitator Development Model through a proactive recruitment model and explicit support for the mentoring process. 

This study investigated patterns in the development of computational thinking and programming expertise in the context of the Exploring Computer Science (ECS) program, a high school introductory CS course and professional development program designed to foster deep engagement through equitable inquiry around CS concepts. Prior research on programming expertise has identified three general areas of development — program comprehension, program planning, and program generation. The pedagogical practices in ECS are consistent with problem solving approaches that support the development of programming expertise. The study took place in a large urban district during the 2016–17 school year with 28 ECS teachers and 1,931 students. A validated external assessment was used to measure the development of programming expertise. The results indicate that there were medium-sized, statistically significant increases from pretest to posttest, and there were no statistically significant differences by gender or race/ethnicity. After controlling for prior academic achievement, performance in the ECS course correlated with performance on the posttest. With respect to specific programming concepts, the results also provide evidence on the progression of the development of programming expertise. Students seem to develop comprehension and planning expertise prior to expertise in program generation. In addition, students seem to develop expertise with concrete tasks prior to abstract tasks.