Elementary

This paper explores the tensions—or discontinuities—that arise when designing for educational improvement at scale through research-practice partnerships (RPPs). Focusing on a statewide mathematics education initiative, the authors examine the complexities of coordinating work across diverse communities of practice and analyze how identity, power, and meaning-making impact collaborative problem definition.

This paper explores the tensions—or discontinuities—that arise when designing for educational improvement at scale through research-practice partnerships (RPPs). Focusing on a statewide mathematics education initiative, the authors examine the complexities of coordinating work across diverse communities of practice and analyze how identity, power, and meaning-making impact collaborative problem definition.

Enacting reform-oriented, phenomenon-based instruction provides us an opportunity to more equitably teach science. Particularly, our teaching can be stronger when we elicit, notice and then use all students’ ideas and questions to inform how students collaborate to figure out phenomena. However, this is only possible if we learn to expansively notice the many language resources multilingual students have available for sharing their thinking, which requires teachers to see and hear beyond what has been traditionally privileged in school spaces.

Paraeducators provide essential academic support for young learners of mathematics. However, they have limited opportunities to engage in professional development (PD) that is responsive to their instructional needs and role. To scaffold paraeducators’ growth, project staff designed, tested, and refined a PD model specifically for K–3 paraeducators working in a diverse urban district.

We explore how a professional development program enabled educators to stretch their ideas related to (a) equitable participation in elementary mathematics classrooms, and (b) their district's policy aimed at promoting equitable participation. Our analysis revealed that participants’ views shifted as they engaged with others’ sense-making, grounded in their observation of mathematics instruction as it unfolded in real time, about equity and the distribution of opportunities to learn.

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).