Abstract-This study investigated the impact of the ExploringComputer Science (ECS) program on the likelihood that students of all races and gender would pursue further computer science coursework in high school. ECS is designed to foster deep engagement through equitable inquiry around computer science concepts. If the course provides a meaningful and relevant experience, it will increase students' expectancies of success as well as increase their perceived value for the field of computer science. Using survey research, we sought to measure whether the relevance of students' course experiences influenced their expectancies and value and whether those attitudes predicted whether students pursued further computer science coursework. The results indicate that students whose course experience increased expectancies for success were more likely to take another course.

This study investigated patterns in the development of computational thinking practices 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. Past research indicates that the personal relevance of the ECS experience influences students' expectancy-value towards computer science. Expectancy-value is a construct that is predictive of career choices. We extended our research to examine whether expectancy-value influences the development of computational thinking practices. This study took place in the context of two ECS implementation projects across two states. Twenty teachers, who implemented ECS in 2016-17, participated in the research. There were 906 students who completed beginning and end of year surveys and assessments. The surveys included demographic questions, a validated expectancy-value scale, and questions about students' course experiences. The assessments were developed and validated by SRI International as a companion to the ECS course. Overall, student performance statistically increased from pretest to posttest with effect size of 0.74. There were no statistically significant differences in performance by gender or race/ethnicity. These results are consistent with earlier findings that a personally relevant course experience positively influences students' expectancy for success. These results expanded on prior research by indicating that students' expectancy-value for computer science positively influenced student learning. CCS CONCEPTS• Social and professional topics→Computational thinking; Model curricula; Student assessment; K-12 education

Abstract-This study investigated the impact of the ExploringComputer Science (ECS) program on the likelihood that students of all races and gender would pursue further computer science coursework in high school. ECS is designed to foster deep engagement through equitable inquiry around computer science concepts. If the course provides a meaningful and relevant experience, it will increase students' expectancies of success as well as increase their perceived value for the field of computer science. Using survey research, we sought to measure whether the relevance of students' course experiences influenced their expectancies and value and whether those attitudes predicted whether students pursued further computer science coursework. The results indicate that students whose course experience increased expectancies for success were more likely to take another course.

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 Ð 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 2016ś17 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.

Across the United States, enrollment in high school computer science (CS) courses is increasing. These increases, however, are not spread evenly across race and gender. CS remains largely an elective class, and fewer than three-fourths of the states allow it to count towards graduation. The Chicago Public Schools has sought to ensure access for all students by recently enacting computer science as a high school graduation requirement. The primary class that fulfills the graduation requirement is Exploring Computer Science (ECS), a high school introductory course and professional development program designed to foster deep engagement through equitable inquiry around CS concepts. The number of students taking CS in the district increased significantly and these increases are distributed equitably across demographic characteristics. With ECS serving as a core class, it becomes critical to ensure success for all students independent of demographic characteristics, as success in the course directly affects a student’s ability to graduate from high school. In this paper, we examine the factors that correlate with student failure in the course. At the student level, attendance and prior general academic performance correlate with passing the class. After controlling for student characteristics, whether or not teachers participated in the professional development program associated with ECS correlates with student success in passing the course. These results provide evidence for the importance of engaging teachers in professional development, in conjunction with requiring a course specifically designed to provide an equitable computer science experience, in order to broaden participation in computing.