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The vast and rapidly growing amount of science education research makes it challenging for researchers to navigate and synthesize developments across the field, particularly concerning broad concepts evolving along divergent paths. To address this issue, a novel review methodology employing bibliometrics and network analysis was tested to identify and characterize clusters of research focused on the relationship between school‐based science learning and contexts where that science is applied, experienced, observable, or otherwise relevant (e.g., socio‐scientific inquiry, place‐based learning, culturally‐responsive pedagogy). Using a sample of 935 academic papers, the bibliometric network analysis revealed the landscape of contextualized science learning research, identifying 13 distinct clusters of scholarship. Bibliometric and qualitative data were used to describe the research trends within clusters and confirm they were conceptually meaningful and distinct. This methodology facilitated greater understanding of how research can become clustered into “invisible colleges” over time, offering a synthesis approach to grasp interrelated lines of research within an evolving landscape. The methodology has potential to identify other schools of thought or overarching themes in science education, enhancing researchers’ ability to perceive the field as a coherent landscape of interconnected ideas or to identify specific research trajectories within a broad concept.

 

As part of Next Generation of Science Standards (NGSS), in-service and pre-service teachers must become familiar with and learn to plan and implement engineering activities using one of the available engineering design models. In addition, pre-service teachers must teach this content to a growing multilingual students in elementary grades in the US. In this presentation, we describe how pre-service teachers use a modified 7-step engineering model to teach about sound to a group of rising 4th grade emergent bilingual students in a summer program in English and Spanish. Using the process of territorialization from assemblage theory, we explore how three pre-service teachers implemented engineering activities using culturally and linguistically sustaining pedagogies. We conclude with a series of recommendations to facilitate the process of territorialization for pre-service teachers in science/engineering education. 

Conventional assessment analysis of student results, referred to as rubric‐based assessments (RBA), has emphasized numeric scores as the primary way of communicating information to teachers about their students’ learning. In this light, rethinking and reflecting on not only how scores are generated but also what analyses are done with them to inform classroom practices is of utmost importance. Informed by Systemic Functional Linguistics and Latent Dirichlet Allocation analyses, this study utilizes an innovative bilingual (Spanish–English) constructed response assessment of science and language practices for middle and high school students to perform a multilayered analysis of student responses. We explore multiple ways of looking at students’ performance through their written assessments and discuss features of student responses that are made visible through these analyses. Findings from this study suggest that science educators would benefit from a multidimensional model which deploys complementary ways in which we can interpret student performance. This understanding leads us to think that researchers and developers in the field of assessment need to promote approaches that analyze student science performance as a multilayered phenomenon.