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1. Emergent Bilingual Middle Schoolers’ Syncretic Reasoning in Statistical Modeling

   https://doi.org/10.1177/01614681221104141  

   Radke, Sarah C.; Vogel, Sara E.; Ma, Jasmine Y.; Hoadley, Christopher; Ascenzi-Moreno, Laura (May 2022, Teachers College Record: The Voice of Scholarship in Education)

   Background/Context: Bi/multilingual students’ STEM learning is better supported when educators leverage their language and cultural practices as resources, but STEM subject divisions have been historically constructed based on oppressive, dominant values and exclude the ways of knowing of nondominant groups. Truly promoting equity requires expanding and transforming STEM disciplines. Purpose/Objective/Research Question/Focus of Study: This article contributes to efforts to illuminate emergent bi/multilingual students’ ways of knowing, languaging, and doing in STEM. We follow the development of syncretic literacies in relation to translanguaging practices, asking, How do knowledges and practices from different communities get combined and reorganized by students and teachers in service of new modeling practices? Setting and Participants: We focus on a seventh-grade science classroom, deliberately designed to support syncretic literacies and translanguaging practices, where computer science concepts were infused into the curriculum through modeling activities. The majority of the students in the bilingual program had arrived in the United States at most three years before enrolling, from the Caribbean and Central and South America. Research Design: We analyze one lesson that was part of a larger research–practice partnership focused on teaching computer science through leveraging translanguaging practices and syncretic literacies. The lesson was a modeling and computing activity codesigned by the teacher and two researchers about post–Hurricane María outmigration from Puerto Rico. Analysis used microethnographic methods to trace how students assembled translanguaging, social, and schooled practices to make sense of and construct models. Findings/Results: Findings show how students assembled representational forms from a variety of practices as part of accomplishing and negotiating both designed and emergent goals. These included sensemaking, constructing, explaining, justifying, and interpreting both the physical and computational models of migration. Conclusions/Recommendations: Implications support the development of theory and pedagogy that intentionally make space for students to engage in meaning-making through translanguaging and syncretic practices in order to provide new possibilities for lifting up STEM learning that may include, but is not constrained by, disciplinary learning. Additional implications for teacher education and student assessment practices call for reconceptualizing schooling beyond day-to-day curriculum as part of making an ontological shift away from prioritizing math, science, and CS disciplinary and language objectives as defined by and for schooling, and toward celebrating, supporting, and centering students’ diverse, syncretic knowledges and knowledge use. 

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2. Assessing and applying students’ understanding of the scientific practices and crosscutting concepts

   Roemmele, C.; Holzer, M.; Bailey, J. M. (October 2020, The Earth scientist)

   null (Ed.)

   The Model-Evidence-Link (MEL) and build-a MEL (baMEL) tasks are designed to engage students in scientific practices, including argumentation and critical thinking. We designed a rubric for teachers to assess the various practices and skills students use while completing a MEL or baMEL, based on several NGSS Science and Engineering Practices (SEPs) and Cross Cutting Concepts (CCCs). When applying this rubric, we suggest that teachers only focus on student performance with respect to one SEP or CCC each time they implement a MEL or baMEL. We also developed a transfer task to ascertain how well students are able to perform MEL-related thinking skills, such as identifying a scientific model and alternative (but non-scientific) models, lines of evidence, and plausibility of knowledge claims, in a grade appropriate scientific journal article. The near-transfer activity can help teachers gauge how well students apply their MEL/baMEL skills and can improve students’ scientific literacy. 

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3. Learning the ropes: How do mentors support students through the scientific publication process?

   Tanya Bhagatwala, Trisha Minocha (March 2024, National Association for Research in Science Teaching)

   In the last two decades, research experiences for pre-college students have gone from the exception of a typical experience of a high school student, to the norm. Often, these research experiences include distinct disciplinary literacy outputs that mimic those of professionals. And while much attention has been paid to supporting students in scientific writing, other disciplinary literacy practices, such as peer-review and publication, are often part of the hidden-curriculum of science research, thus excluding students from fully understanding ways in which scientific knowledge is constructed, refined, and disseminated (Authors, 2022). As more students participate in research experiences and the dissemination of their work, it is important to understand how mentors support the development of disciplinary literacies, including those that are deemed “professional”. To this end, we used a mixed-methods study of interviews and surveys to examine the experience and conceptions of the mentors who guided precollege students through the writing and publication of their scientific research projects. Using the construct of cognitive apprenticeship to evaluate our findings, we find that although mentors highly value peer-review and publication within science, they are not intentional about bringing these practices to the forefront of the research process for their student. Additionally, mentors report a range of involvement level in guiding students through the publication process. Our findings suggest that more work is needed to help reveal professional disciplinary literacy practices to students. mentors could benefit from resources to help them more intentionally involve students in such disciplinary literacy practices. 

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4. Empowering future scientists: mentors employ various strategies to engage students in professional science disciplinary literacy practices

   https://doi.org/10.1186/s43031-025-00124-0  

   Minocha, Trisha; Bhagatwala, Tanya; Mirzoyan, Gwendolyn; McDowell, Gary; Fankhauser, Sarah C (December 2025, Disciplinary and Interdisciplinary Science Education Research)

   Peer-review and publication are important parts of the scientific enterprise, and research has shown that engaging students in such scholarly practices helps build their sense of belonging and scientific identity. Yet, these disciplinary literacy skills and professional practices are often part of the hidden curriculum of science research, thus excluding students and others from fully understanding ways in which scientific knowledge is constructed, refined, and disseminated even though students are participating in such activities. Secondary students are increasingly involved in scientific research projects that include authentic disciplinary literacy components such as research proposals, posters, videos, and scientific research papers. More and more, students are also engaging in professional practice of publishing their scientific research papers through dedicated secondary science journals. How teachers and other mentors support the development of professional disciplinary literacies in students is critical to understand as part of supporting more student participation in research. To this end, we used a mixed-methods study of interviews and surveys to examine the experience and conceptions of the mentors (teachers and professional scientists) who guided pre-college students through the writing and publication of their scientific research projects. Analyzing our data from a lens of cognitive apprenticeship, we find that mentors encourage independence by primarily employing the method of “exploration”. We also find that mentors have divergent views on the value of publication within science, versus for student scientists specifically. Our findings suggest that mentors could work to explicitly reveal their own thinking within science writing to provide more sequenced support for student scientists. 

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5. Integrating Computer Science in Science: Considerations for Scale

   Krakowski, A; Greenwald, E; Duke, J; Comstock, M; Roman, N (June 2020, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF THE LEARNING SCIENCES 2020)

   Facility with foundational practices in computer science (CS) is increasingly recognized as critical for the 21st century workforce. Developing this capacity and broadening participation in CS disciplines will require learning experiences that can engage a larger and more diverse student population (Margolis et al., 2008). One promising approach involves including CS concepts and practices in required subjects like science. Yet, research on the scalability of educational innovations consistently demonstrates that their successful uptake in formal classrooms depends on teachers’ perceived alignment of the innovations with their goals and expectations for student learning, as well as with the specific needs of their school context and culture (Blumenfeld et al., 2000; Penuel et al., 2007; Bernstein et al., 2016). Research is nascent, however, about how exactly to achieve this alignment and thereby position integrated instructional models for uptake at scale. To contribute to this understanding, we are developing and studying two units for core middle school science classrooms, known as Coding Science Internships. The units are designed to support broader participation in CS, with a particular emphasis on females, by expanding students’ perception of the nature and value of coding. CS and science learning are integrated through a simulated internship model, in which students, as interns, apply science knowledge and use computer programming as a tool to address real-world problems. In one unit, students gain first-hand experience with sequences, loops, and conditionals as they program and debug an interactive scientific model of a coral reef ecosystem under threat. The second unit engages students in learning concepts related to data analysis and visualization, abstraction, and modularity as they code data visualizations using real EPA air quality data. A core goal for both units is to provide students experience with some of the increasingly prevalent ways that computer science is integrated into the work of scientists. 

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