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  1. There is a need for more K-12 computer science (CS) teachers. The need to scale teacher professional development (PD) points the CS education community towards virtual learning, and prior work shows that in-person PD with a diffuse schedule is more successful than condensed schedules. There is currently little research about virtual K-12 CS PD with a diffuse schedule. The pandemic served as a forced opportunity to explore the design and implementation of a diffuse-scheduled virtual PD for two small, equally-sized cohorts of middle school (grades 5-8) teachers; one from a metropolitan school district and another from across the United States. Our findings reveal several important post-pandemic design implications for future CS PD programs. First, the teachers’ CS knowledge and attitudes significantly increased in both cohorts. Second, there were no significant differences in attitudes or achievement between the cohorts. Third, the teachers in the virtual PD showed as good changes or better in attitude than those in a prior in-person PD. Finally, both cohorts were largely positive about the change from a few intensive PD days to a few hours a week for several weeks, even as they joined from vacations. 
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  2. Computational thinking (CT) involves breaking a problem into smaller components and solving it using algorithmic thinking and abstraction. CT is no longer exclusively for computer scientists but for everyone. While CT does not necessarily require programming, learning programming to enhance CT skills at a young age can help shape the next generation of children with knowledge that can help them succeed in our technological world. In order to produce teachers who are able to incorporate programming and CT into their future classrooms, we created an introductory Computer Science course (CS0) targeting future K-8 STEM teachers yet open to any student to enroll and learn computer science. We used a mixed-methods approach, examining both quantitative and qualitative data based on self-reported surveys, classroom artifacts, and focus groups from four semesters of data. We found that after taking the course, students’ self-efficacy in CT increased and while education students initially had lower confidence in their computing abilities than computer science students in the course, by the end of the semester there were no differences in their perceived and actual coding abilities when compared with computer science students. Furthermore, education students had many ideas on how to incorporate similar projects into their own future classrooms. 
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  3. While several introductory computer science curricula exist for children in K-8, there are few options that go beyond sequence, loops, and basic conditionals. The goal of this project is to not only fill this gap with a high-quality curriculum supported by complete instructional materials, but to also do so with an equity-balanced curriculum. That is, a curriculum that values advancing equity equally with student learning outcomes. In this paper, we intro- duce barriers to equity in public school classrooms, pedagogical approaches to culturally-relevant curricula, and how our Scratch Encore curriculum is designed to support equity-balanced learn- ing. Finally, we present results of our pilot year, including early evidence of students taking advantage of the culturally-relevant design aspects. 
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