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This paper analyzes students’ design solutions for an NGSS aligned earth sciences curriculum, the Playground Design Challenge (PDC), for upper-elementary school (grade 5 and 6) students.We present the underlying computational model and the user interface for generating design solutions for a school playground that has to meet cost, water runoff, and accessibility constraints. We use data from the pretest and posttest assessments and activity logs collected from a pilot study run in an elementary school to evaluate the effectiveness of the curriculum and investigate the relations between students’ behaviors and their learning performances. The results show that (1) the students’ scores significantly increased from pretest to posttest on engineering design assessments, and (2) students’ solution-generation and testing behaviors were indicative of the quality of their design solutions as well as their pre-post learning gains. In the future, tracking such behaviors online will allow us to provide adaptive scaffolds that help students improve on their engineering design solutions. 

There is increasing interest in broadening participation in computational thinking (CT) by integrating CT into pre-college STEM curricula and instruction. Science, in particular, is emerging as an important discipline to support integrated learning. This highlights the need for carefully designed assessments targeting the integration of science and CT to help teachers and researchers gauge students’ proficiency with integrating the disciplines. We describe a principled design process to develop assessment tasks and rubrics that integrate concepts and practices across science, CT, and computational modeling. We conducted a pilot study with 10 high school students who responded to integrative assessment tasks as part of a physics-based computational modeling unit. Our findings indicate that the tasks and rubrics successfully elicit both Physics and CT constructs while distinguishing important aspects of proficiency related to the two disciplines. This work illustrates the promise of using such assessments formatively in integrated STEM and computing learning contexts.