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As computer science instruction gets offered to more young learn- ers, transitioning from elective to requirement, it is important to explore the relationship between pedagogical approach and student behavior. While different pedagogical approaches have particular motivations and intended goals, little is known about to what degree they satisfy those goals. In this paper, we present analysis of 536 students’ (age 9-14, grades 4-8) work within a Scratch-based, Use-Modify-Create (UMC) curriculum, Scratch Encore. We investigate to what degree the UMC progression encourages students to engage with the content of the lesson while providing the flexibility for creativity and exploration. Our findings show that this approach does balance structure with flexibility and creativity, allowing teachers wide variation in the degree to which they adhere to the structured tasks. Many students utilized recently-learned blocks in open-ended activities, yet they also explored blocks not formally taught. In addition, they took advantage of open-ended projects to change sprites, backgrounds, and integrate narratives into their projects. 

The CS community has struggled to assess student learning at the K-8 level, with techniques ranging from one-on-one interviews to written assessments. While scalable, automated techniques exist for analyzing student code, a scalable method for assessing student comprehension of their own code has remained elusive. This study is a first step in bridging the gap between the knowledge gained from interviews and the time efficiency and scalability of written assessments and automated analysis. The goal of this study is to understand how student answers on various types of questions differ depending on whether they are being asked about their own code or generic code. We find that while there were no statistically-significant differences in overall scores, questions about generic and personalized code of comparable complexity are far from equivalent. Our qualitative analyses revealed interesting patterns in student responses, inviting further research into this assessment technique. In particular, students answered differently from students with generic code when presented with individual blocks from their code taken out of context and placed into different code snippets, and students answered in a way that demonstrates a functional, instead of structural, understanding on Explain in Plain English (EiPE) questions.