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1. Beyond the spoken word: Examining the nature of teacher gesturing in the context of an elementary engineering curriculum for English-learner students

   Fernández, Luis M.; Tharayil, Sneha; Callahan, Rebecca M. (January 2019, Texas education review)

   null (Ed.)

   Our research team performed an exploratory analysis of teacher gesturing via a case study of an elementary teacher. We focused on gesturing, a practice found to support both bilingual English learner students’ linguistic development and mathematics achievement, during the teacher’s engineering and science lessons. The research team systematically analyzed teacher video data using McNeill’s gestural dimensions framework and found variation of gesturing types and rates when comparing engineering and baseline science lessons. Additionally, specific types of teacher-gestures appear to be associated with either behavioral or classroom management practices, procedural instructions, and discussion facilitation. We suggest that teacher-gestures such as these have the potential to facilitate bilingual English learners’ language acquisition, while also developing their STEM literacy in general and engineering capacity in particular. Further exploration of teacher-gestures in elementary engineering curricula could lead to an integrated STEM pedagogy that incorporates gesturing as a fundamental teaching strategy, bridging STEM instruction with linguistically responsive instructional practices. 

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2. Exploring Elementary Teachers’ Perceptions of Data Science and Curriculum Design through Professional Development

   Herro, D. (October 2022, Journal of technology and teacher education)

   Hartshorne, Richard (Ed.)

   Data science and computational thinking (CT) skills are important STEM literacies necessary to make informed daily decisions. In elementary schools, particularly in rural areas, there is little instruction and limited research towards understanding and developing these literacies. Using a Research-Practice Partnership model (RPP; Coburn & Penuel, 2016) we conducted multimethod research investigating nine elementary teachers’ perceptions of data science and related curriculum design during professional development (PD). Connected Learning theory, enhanced with Universal Design for Learning, guided ways we assisted teachers in designing the data science curriculum. Findings suggest teachers maintained high levels of interest in data science instruction and CT before and after the PD and increased their self-efficacy towards teaching data science. A thematic analysis revealed how a data science framework guided curriculum design and assisted teachers in defining, understanding, and co-creating the curriculum. During curriculum design, teachers shared the workload among partners, made collaborative design choices, integrated differentiation strategies, and felt confidence towards teaching data science. Identified challenges included locating data sets and the complexity of understanding data science and related software. This study addresses the research gap in data science education for elementary teachers and assists with successful strategies for data science PD and curricular design. 

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3. Orchestrating the Multidisciplinary Implementation of a Narrative-Centered Learning Environment in Upper Elementary Classrooms.

   Vandenberg, J.; Boulden, D.; Fox, K.; Elsayed, R.; Smith, A.; Cheuoua, A.H.; Minogue, J.; Oliver, K.; Ringstaff, C.; Mott, B. (January 2022, Proceedings of the International Conference of the Learning Sciences)

   Integration of computational thinking (CT) within STEM subjects is common, although not often at the elementary school level where teachers have minimal experience with CT. We have designed and are refining INFUSECS, a narrative-centered digital learning environment to support upper elementary students’ CT and science knowledge construction as they create digital stories. We used orchestration as our theoretical framework, to examine how elementary teachers planned to approach this multidisciplinary implementation. Through a series of three focus groups, we learned that teachers planned for their students to take notes or utilize other graphic organizers to align the science content with the narrative planning, to engage in collaborative sense-making, and to observe the teacher modeling use of the INFUSECS system. Ultimately, the results have informed the next phase of our research design as we collect teacher and student level data as INFUSECS is utilized in authentic classroom settings. 

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4. Identifying Pre-Service Elementary Teachers Productive Knowledge Resources around Representations and Arguments in Math and Science

   Barth-Cohen, Lauren; Francom, Rachel; Greenberg, Kevin; MacArthur, Kelly; Gutiérrez, Jose. (January 2019, Annual meeting program - American Educational Research Association)

   There have been increased calls for elementary teachers to integrate and connect knowledge across STEM disciplines. Along those lines, previous empirical research has identified known leverage points based on the disciplinary practices of representation and argumentation in math and science. Using the theoretical framework of resource theory, we analyzed data of pre-service teachers (PSTs) participation in open-ended performance assessments in math and science that asked them to utilize their subject matter knowledge and pedagogical content knowledge to address a realistic classroom challenge related to a hypothetical teaching scenario. Results show that the PSTs have a variety of productive knowledge resources related to generating and analyzing arguments and representations. We discuss the implications for elementary STEM teaching and teacher preparation. 

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5. 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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