Computer Science

Students benefit from having opportunities to explore extensive, complex datasets using technology tools that are intuitive and accessible. Likewise, middle school teachers require convenient access to captivating datasets, supportive resources, and classroom-appropriate software. We developed two CODAP (Common Online Data Analysis Platform) plugins that allow students to engage with data about their daily lives, build their data fluency, and answer questions about Earth’s systems. These plugins support the three-dimensional learning approach central to the NGSS.

Computational thinking (CT) is central to computer science, yet there is a gap in the literature on how CT emerges and develops in early childhood especially for children from historically marginalized communities. Yet, lack of access to computational materials and effective instruction can create inequities that have lasting effects on young children (Chaudry, et al., 2017). To alleviate the pervasiveness of such inequities and remedy the “pedagogical dominance of Whiteness” (Baines et al., 2018, p.

Computational thinking (CT) is central to computer science, yet there is a gap in the literature on the best ways to implement CT in early childhood classrooms. The purpose of this qualitative study was to explore how early childhood teachers enacted asset-based pedagogies while implementing CT in their classrooms. We followed a group of 28 early childhood educators who began with a summer institute and then participated in multiple professional learning activities over one year.

This chapter features intersections of art, literacy, and creative computing. As a component of STEAM, creative computing augments story creation, or storymaking (Buganza et al., 2023; Compton & Thompson, 2018), prompting learners to explore expressive meaning making as collective interactions with texts. To signify a way of teaching that supports such learning activities, we propose expressive STEM as a design principle, illustrated here with examples from an elementary school and a preservice art education program in Texas, USA.

Teach mathematics and science using materials for the weather-focused Community Collaborative Rain, Hail, & Snow Network project.

This article portrays how citizen science (CS) projects can be integrated into elementary classrooms to enhance students’ sensemaking skills and connect to real-world science problems. For the last several years, we have been involved in a study, Teacher Learning for Effective School-Based Citizen Science (TL4CS), that developed materials for elementary school teachers to engage their students in data collection, analysis, and interpretation for two existing CS projects: Community Collaborative Rain, Hail, and Snow Network (CoCoRaHS) and the Lost Ladybug Project (LLP).