This research project studies the impact of strategic integration of relevant math and science topics on grades 2 – 5 teachers' knowledge and beliefs, their classroom practice, and their students' understanding and beliefs. The proposal hypothesizes that the strategic integration will lead to more frequent and effective use of mathematics in science teaching and improved student outcomes.
Projects
This project will use video case studies to identify key strategies used by exemplary teachers to guide class discussions. The project will study teachers in the areas of high school mechanics and electricity, and middle school life sciences, and is designed to develop the constructs and language that will enable us to describe key discussion leading strategies.
This project will develop an approach to support fourth grade students' data literacy with complex, large-scale, professionally collected data sets. The work will focus on analytical thinking as a subset of data literacy, specifically evaluating and interpreting data. The project will teach students about working with geoscience data, which connect to observable, familiar aspects of the natural world and align with Earth science curriculum standards.
This project will develop an approach to support fourth grade students' data literacy with complex, large-scale, professionally collected data sets. The work will focus on analytical thinking as a subset of data literacy, specifically evaluating and interpreting data. The project will teach students about working with geoscience data, which connect to observable, familiar aspects of the natural world and align with Earth science curriculum standards.
Although there is a push to integrate artificial intelligence (AI) in K-12 education, the novelty of AI means that little is known about what schools, teachers, students, and parents know, need, and expect regarding AI in classrooms. The lack of access to AI knowledge and training is especially significant in rural high-needs communities where schools are under-resourced. This year-long partnership development project will seek to strengthen and expand existing research-practice partnerships (RPPs) with East Tennessee teachers and school leaders, develop new RPPs with parents and students enrolled in East Tennessee middle and high schools, and co-construct a shared vision for AI that aligns with the needs and assets of the partner community.
This project is developing and studying high school curriculum modules that integrate social justice topics with statistical data investigations to promote skills and interest in data science among underrepresented groups in STEM.
This project's first goal is to study the national landscape of mathematics intervention classes, which are additional classes provided to struggling students, including learners with and without identified disabilities. We administered a survey to a nationally representative sample of 2,024 urban and suburban public schools with grades 6-8 to find out how these classes are being implemented and the types of challenges faced. Approximately 43% of schools (876 schools) responded to the survey; the findings revealed widespread implementation of these classes (69% of schools) and highlighted a range of practices in terms of class size, scheduling, duration, staffing and content focus. Our project's second goal is to apply the survey findings to design professional development to support teachers of mathematics intervention classes, helping them to build knowledge and practices for addressing students' wide range of learning needs.
This project is a professional learning experience for middle school teachers to support them in developing five mathematical practices in their teaching focused on mathematical argumentation - creating mathematical arguments, using appropriate tools strategically, looking for and make use of structure, attending to precision, and looking for and express regularity in repeated reasoning.
This project will explore how a nationally implemented professional development model is applied in two distinct Indigenous communities, the impact the model has on teacher practice in Native-serving classrooms, and the model's capacity to promote the integration of culturally responsive approaches to STEM teaching.
Ensuring that beginning teachers are "classroom-ready" requires assessments that efficiently and validly evaluate proficiency in teaching. This project explores assessments involving simulated students as a way to assess teaching practice, which could provide an important complement, or alternative, to directly assessing teaching practice in classrooms.
This project engages high-school students as student-tutors who create screen-capture videos that demonstrate step-by-step solutions to mathematical problems and explicate the use of interactive applets. The project tests whether the mathematical and communication skills of student-tutors improve in the process of making the video materials. It also tests whether teachers and student users benefit from the videos. The project will examine whether the process of creating and disseminating the videos is replicable and scalable.
The project develops a teacher professional development intervention to support student-adaptive pedagogy for multiplicative and fractional reasoning. The idea is that classroom instruction should build on students' current conceptions and experiences. It focuses on students from urban, underserved and low-socioeconomic status populations who often fall behind in the elementary grades and are left underprepared for middle grades mathematics.
In this project, high school engineering teachers will spend five weeks in a research lab devoted to biologically-inspired design, as they partner with cutting-edge engineers and scientists to study animal features and behavior and their applications to engineering designs. After this lab experience, the high school teachers will receive three six- to ten-week curricular units, tailored for tenth- through twelfth-grade students, which teach biologically-inspired design in the context of problems that are relevant to youth.
This project is examining the relationship between specific technology-based motivational activities and grade 5 to 9 student interest in STEM careers through a variety of classroom-based experiences. The project will test a series of specific hypotheses relating motivation, self-efficacy, STEM career interest, and mathematics learning to activity assignment.
This project is using innovative Geospatial Information Technology-based learning in high school environmental science studies with a focus on the meteorological and ecological impacts of climate change. The resources developed are using ArcGIS Explorer Desktop and Google Earth software applications to increase students' learning and interest in science and careers and will be adaptable for teachers to improve classroom implementation.
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.
The fundamental purpose of this project is to develop, implement, and study a professional development (PD) model for improving chemistry teachers' formative assessment practices to foster teaching focused on chemical thinking.
Familial presence in school supports children’s learning. However, few models exist that illustrate forms of familial presence in STEM learning that center familial cultural knowledge and practice. The project will produce a model for familial engagement in STEM along with instructional tools and illustrative case-studies that can be used by teachers and school districts nationally in support of increasing students’ STEM learning. This three-year study investigates new instructional practices that support rightful familial presence in STEM as a mechanism to address the continued racial and class gaps in STEM achievement for historically marginalized students.
This project will develop two forms of support for teachers: guidance embedded in citizen science project materials and teacher professional development. The overarching goal of the project is to generate knowledge about teacher learning that enables elementary school citizen science to support students' engagement with authentic science content and practices through data collection and sense making.
This project will conduct a study to identify instructional practices and professional development approaches for teachers and the policies needed to support ELLs' accomplishments in science and math. The study will synthesize research relevant to improving ELLs' STEM learning, offer insight into how to support both English language development and science and math learning, and provide a framework for future research to help identify the most relevant and pressing questions for the field.
This project is writing and researching a book supporting grade 5-8 students in scientific explanations and arguments. The book provides written and video examples from a variety of contexts in terms of content and diversity of students. The book and accompanying facilitator materials also provide different teacher instructional strategies for supporting students. The research focuses on how the book and accompanying professional development impact teachers' beliefs, pedagogical content knowledge and classroom practice.
This partnership of BSCS Science Learning, Oregon Public Broadcasting, and the National Oceanic and Atmospheric Administration advances curriculum materials development for high quality units that are intentionally designed for adaptation by teachers for their local context. The project will create a base unit on carbon cycling as a foundation for understanding how and why the Earth's climate is changing, and it will study the process of localizing the unit for teachers to implement across varied contexts to incorporate local phenomena, problems, and solutions.
This project will study the utility of a machine learning-based assessment system for supporting middle school science teachers in making instructional decisions based on automatically generated student reports (AutoRs). The assessments target three-dimensional (3D) science learning by requiring students to integrate scientific practices, crosscutting concepts, and disciplinary core ideas to make sense of phenomena or solve complex problems.
This project will study the utility of a machine learning-based assessment system for supporting middle school science teachers in making instructional decisions based on automatically generated student reports (AutoRs). The assessments target three-dimensional (3D) science learning by requiring students to integrate scientific practices, crosscutting concepts, and disciplinary core ideas to make sense of phenomena or solve complex problems.
This project will study the utility of a machine learning-based assessment system for supporting middle school science teachers in making instructional decisions based on automatically generated student reports (AutoRs). The assessments target three-dimensional (3D) science learning by requiring students to integrate scientific practices, crosscutting concepts, and disciplinary core ideas to make sense of phenomena or solve complex problems.