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This study investigated the seeds of algebraic thinking that Kindergarten students use when engaging with function tables and graphs. Through interviews with three Kindergarteners, we explored how they reasoned about functional relationships. Our results illustrate how the Kindergarteners used seeds of algebraic thinking when using function tables and graphs to represent and reason about functional relationships. Building on the seeds of algebraic thinking and Knowledge in Pieces frameworks, we categorized these seeds as either strategies (classify, pair, and compare) or ideas (seeds of covariation). Strategy seeds were goal-oriented, and seeds of covariation were elicited without any goal and reflected a broader understanding of change between quantities. 

An often overlooked but important component of understanding how to support teachers to enact computer science (CS) instruction is investigating how they plan CS activities. This study investigates how teachers in a research-practice partnership (RPP) report planning to integrate culturally relevant CS into their lessons. Teachers were interviewed about how they planned lessons to implement culturally relevant CS in their classrooms. Researchers analyzed the interviews using a framework of persistent challenges that teachers confront when planning and enacting instruction. Findings include that teachers were capable of anticipating and overcoming challenges of supporting students with basic technology skills. However, results also highlight that teachers planning CS instruction may need additional support to anticipate ways to assess student thinking, strategies for managing student behavior, and to develop and reach their personal goals for implementing culturally relevant CS lessons. 

As computer science (CS) is integrated in elementary science curricula, it is important to consider teachers’ perceptions in how they access CS and support students to engage in CS skills and standards through NGSS-aligned activities. This single case study utilizes the Interconnected Model of Professional Growth (IMPG) to examine teacher change and explore the perspectives of a teacher, through semi-structured interviews, as he implements an NGSS-aligned, project-based CS unit over the course of four years. Findings indicate that the teacher perceived that changes in his practice helped inform changes in student outcomes and the curriculum and, in turn, these changes in outcomes further informed his teaching practice in the next iteration of the unit. Results highlight the importance of reflection and feedback as a way to impact the teaching practice of integrating CS in elementary science education. 

Energy is a central, cross-cutting concept in science, but its abstract nature poses challenges for learners. Metaphor has been recognized as a productive resource used by students, teachers, and scientists to understand and communicate about energy. While much research has focused on metaphors about energy expressed in learners’ speech, we know less about the range of ways learners use gesture to evoke metaphors about energy. In particular, the metaphor energy as substance has been found to be useful for conceptualizing various features of energy. Using a microethnographic approach, we demonstrate how students in an introductory algebra- based university physics course use gesture in three different ways to evoke substance-like metaphors that offer valuable affordances for sensemaking about energy: These include (1) container metaphor gestures, (2) stimulus metaphor gestures, and (3) accounting metaphor gestures. Implications for learning and teaching about energy are discussed. 

Computational modeling of scientific systems is a powerful approach for fostering science and computational thinking (CT) proficiencies. However, the role of programming activities for this synergistic learning remains unclear. This paper examines alternative ways to engage with computational models (CM) beyond programming. Students participated in an integrated Science, Engineering, and Computational Modeling unit through one of three distinct instructional versions: Construct a CM, Interpret-and-Evaluate a CM, and Explore-and-Evaluate a simulation. Analyzing 188 student responses to a science+CT embedded assessment task, we investigate how science proficiency and instructional versions related to pseudocode interpretation and debugging performances. We found that students in the Explore-and-Evaluate a simulation outperformed students in the programming-based versions on the CT assessment items. Additionally, science proficiency strongly predicted students’ CT performance, unlike prior programming experience. These results highlight the promise of diverse approaches for fostering CT practices with implications for STEM+C instruction and assessment design.