Across the nation, many school districts are experiencing rapid expansion in the enrollment of multilingual learners, yet many high school teachers do not have corresponding opportunities to learn how to effectively support these students’ engagement in scientific and engineering practices. This exploratory project will address this issue by developing and testing a model of professional learning for high school teachers in which they learn how to embed the Instructional Conversation pedagogy within standards-aligned scientific and engineering practices. Under this model, high school science teachers will collaborate with high school English for Speakers of Other Languages (ESOL) teachers to co-develop linguistically sustaining instructional materials that provide students with intentionally scaffolded opportunities to use scientific dialogue as they collaborate to explain natural phenomena or design solutions through engineering.
Projects
This project partners with a mathematics department at a public middle school to co-design, analyze, and improve teachers’ translanguaging pedagogies, that is pedagogies that draw on students’ full linguistic repertoires as resources for their learning. This project will investigate how teachers make sense of and enact translanguaging pedagogies, how translanguaging pedagogies shape students’ mathematical experiences and learning opportunities, and how teachers’ learning of translanguaging spaces can be supported.
This project examines how Latine, bilingual teachers' dispositions to teach science and engineering to bilingual learners change as they enter the teaching profession. Specifically, it explores bilingual teachers' transition from a period of strong social support to one of scarce social support, i.e., from being Bilingual Teacher Candidates to Novice Bilingual Teachers (NBTs) as they plan and teach bilingual science and engineering lessons.
This project contributes to advancing knowledge on STEM education focusing on societal challenges by harnessing the convergence of STEM subjects, including data science and computer science, to empower a minoritized student group—multilingual middle-school learners.
This project will contribute new knowledge on two aspects of participation in mathematics education. First, this research aims to understand how perceptions of race influence how teachers, future teachers, and researchers assess how bilingual children use their languages and movement to participate in mathematical activity. Second, it will explore ways to counter deficit views that influence teachers’, preservice teachers’, and researchers’ perceptions of these multiple ways of participating as inferior to what is traditionally considered as meaningful participation.
In this project, researchers will develop and investigate a novel professional development model to support mathematics teachers’ learning of responsive pedagogies for linguistically marginalized students. Working with secondary mathematics teachers in diverse settings in North Carolina, the project team will develop a series of workshops on linguistically responsive pedagogies tailored to participants’ challenges and school contexts. In addition to these workshops, as teachers enact linguistically responsive pedagogies in their classrooms, the research team will support their learning with video-coaching.
This project will develop a standards-aligned engineering professional learning model for elementary teachers of multilingual learners. This interdisciplinary approach is innovative in its effort to provide teachers with sustained time to reflect on what they believe about language, their teaching of linguistically and racially minoritized students, and their interactions with multilingual students around engineering content. Using a participatory and collaborative approach, experts in literacy, language, and engineering will work with elementary teachers to develop strategies for how teachers can view students’ multilingualism as an asset to engineering.
This project will investigate the potential of a novel approach to mathematics intervention that leverages the affordances of technology and evidence-based pedagogy to improve mathematics learning for middle school students. The mathematics intervention entitled EMPIRES is a collaborative activity set in Ancient Mesopotamia that offers a multifaceted approach in which (1) rich, narrative math problems increase conceptual comprehension; (2) animated representations of mathematics concepts support mathematical understanding; (3) multiplayer collaboration leads to peer instruction and modeling; (4) simulations offer exciting challenges that increase mathematics resiliency; and (5) a bridge curriculum aids transfer of learning to multiple contexts, including traditional standardized tests.
This project will develop, enact, and study a critical climate technology journalism curriculum to support multilingual sixth grade students’ knowledge and practices in engineering. Synthesizing expertise in climate technology, communication, and multilingual education, the project will engage students in investigating, designing, and communicating critical engineering knowledge about community-based technological systems. Students will learn engineering as they construct and convey messages about climate technology in their community for an audience of family members, community groups, and civic leaders.
The project is designing a web-based, district-led professional development implementation, focusing on improving mathematics discourse practices in K-2 classrooms, with particular attention to emergent multilingual learners. Building on two prior NSF-funded projects, the All Included in Mathematics K-2 New Extensions professional learning program will develop and research the impact of an augmented model for mathematics professional development on K-2 student learning through the addition of supports for coaches and leaders to the existing professional development model.
This project will develop and test a learning progression for middle school physical science that incorporates the three dimensions identified in Next Generation of Science Standards (NGSS): the Disciplinary Core Ideas of matter, interaction, and energy; the Science and Engineering Practices of constructing explanations and developing and using models; and the Crosscutting Concepts of cause and effect and systems and system models. Bringing together all three NGSS dimensions is an innovation that allows for the project to explore the variety of learning pathways that students may follow as they apply scientific knowledge and practices to make sense of compelling phenomena or solve complex problems.
The project is designing a web-based, district-led professional development implementation, focusing on improving mathematics discourse practices in K-2 classrooms, with particular attention to emergent multilingual learners. Building on two prior NSF-funded projects, the All Included in Mathematics K-2 New Extensions professional learning program will develop and research the impact of an augmented model for mathematics professional development on K-2 student learning through the addition of supports for coaches and leaders to the existing professional development model.
This project focuses on developing anti-racist mathematics teaching and learning practices that have led to inequitable school experiences for Black, Indigenous, and Latinx students. This study is a partnership with school and central office leaders from one district and educational researchers from three universities with expertise in both educational leadership and mathematics education. Partnership activities include documenting how leaders learn and develop anti-racist leadership practices and then measuring the impact on teachers’ instruction and students’ experiences.
The focus of this project is the design of learning experiences in different high school science courses to help students gain experience in computational thinking. The project uses a partnership between two universities and school district to develop and refine the units as a collaboration between researchers, teachers, and school leaders. The goal is to help all students have opportunities to learn about computational thinking in multiple science courses.
This project will design instructional assessment materials by using an innovative and unique design approach that brings together the coherent and systematic design elements of evidence-centered design, an equity and inclusion framework for the design of science materials, and inclusive design principles for language-diverse learners. Using this three-pronged approach, this project will develop a suite of NGSS aligned formative assessment tasks for first-grade science and a set of instructional materials to support teachers as they administer the formative assessments to students with diverse language skills and capacities.
This project aims to deepen understanding of how to support and develop early childhood science learning by articulating science and engineering practices observed in children’s play. It also aims to develop early childhood educators’ abilities to identify and support nascent science and engineering practices with young children. Through this project early childhood educators will engage in professional learning using a refined version of the Science and Engineering Practices Observation Protocol (SciEPOP), an observation tool that allows researchers to identify and describe high-quality play-based engagement with science and engineering practices. Through video-rich professional learning along with peer-based coaching, early childhood educators will grow in their ability to prepare play environments, identify nascent science and engineering practices, enhance and extend investigations through play, and record and reflect upon this learning.
This project addresses a longstanding problem in informal science education: how to increase the likelihood of consequential STEM learning from short duration experiences such as field trips. The project seeks to harness the power and potential of visual representations (e.g., graphs, drawings, charts, maps, etc.) for enhancing learning and encouraging effective reflection during and after science learning experiences, and provide new and actionable informal science learning practices that promote engagement with visual representations and reflection, and science understandings that can be applied broadly by informal science institutions.
This project addresses a longstanding problem in informal science education: how to increase the likelihood of consequential STEM learning from short duration experiences such as field trips. The project seeks to harness the power and potential of visual representations (e.g., graphs, drawings, charts, maps, etc.) for enhancing learning and encouraging effective reflection during and after science learning experiences, and provide new and actionable informal science learning practices that promote engagement with visual representations and reflection, and science understandings that can be applied broadly by informal science institutions.
This project addresses a longstanding problem in informal science education: how to increase the likelihood of consequential STEM learning from short duration experiences such as field trips. The project seeks to harness the power and potential of visual representations (e.g., graphs, drawings, charts, maps, etc.) for enhancing learning and encouraging effective reflection during and after science learning experiences, and provide new and actionable informal science learning practices that promote engagement with visual representations and reflection, and science understandings that can be applied broadly by informal science institutions.
The COVID-19 pandemic has highlighted the need for supporting student learning about viral outbreaks and other complex societal issues. Given the complexity of issues like viral outbreaks, engaging learners with different types of models (e.g., mechanistic, computational and system models) is critical. However, there is little research available regarding how learners coordinate sense making across different models. This project will address the gap by studying student learning with different types of models and will use these findings to develop and study new curriculum materials that incorporate multiple models for teaching about viral epidemics in high school biology classes.
This research project aims to enhance elementary teacher education in science and computational thinking pedagogy through the use of Culturally Relevant Teaching, i.e. teaching in ways that are relevant to students from different cultural and linguistic backgrounds. The project will support 60 elementary teachers in summer professional development and consistent learning opportunities during the school year to learn about and enact culturally relevant computational thinking into their science instruction.
The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members.
The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members.
The Common Core State Standards for Mathematics (CCSSM) problem-solving measures assess students’ problem-solving performance within the context of CCSSM math content and practices. This project expands the scope of the problem-solving measures use and score interpretation. The project work advances mathematical problem-solving assessments into computer adaptive testing. Computer adaptive testing allows for more precise and efficient targeting of student ability compared to static tests.
This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.