This project will focus on a networked improvement community (NIC) model of professional learning that shifts K-5 science instruction from traditional approaches to a three-dimensional design as outlined in the Next Generation Science Standards. The project will feature a multi-level model involving university educators and researchers and school district practitioners in an effort to co-defined problems of practice valuable to both parties. A mixed methods research design will examine how the NIC model develops professional capital through changes in implementation over multiple iteration.
Projects
This project aims to enact and study the co-design of classroom activities by mathematics and visual arts teachers to promote middle school students' data literacy.
The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science.
The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science.
This grant is also known as The Responsive Math Teaching Project: Developing Instructional Leadership in a Network of Elementary Schools.
The goal of this project is to build instructional leadership capacity in teachers and school-based leaders in a network of underperforming elementary schools with limited resources. Through design-based improvement research, the project is designed to enhance the knowledge, skills, and competencies of elementary teacher leaders and principals to develop a shared vision and provide ongoing support of high-quality math instruction.
This project develops tools and materials that address the need schools have to implement results-oriented teacher learning programs that ensure highly qualified science teachers in every classroom. The project will (1) develop and disseminate the Building Systems for Quality Teaching and Learning in Science Simulation and Facilitator Guide, and (2) develop and disseminate three Building Systems for Science Learning Modules.
Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.
Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.
Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.
The primary purpose of this international conference was for participants in the US to exchange views and discuss the latest research findings on (primary) science assessment. The conference focused on research around building assessment systems that help teachers diagnose student learning in the classroom but also link meaningfully to large-scale accountability systems (in districts or national levels). The project resulted in a report, proceedings, journal publications.
This project has pioneered simulation-based assessments of model-based science learning and inquiry practices for middle school physical and life science systems. The assessment suites include curriculum-embedded, formative assessments that provide immediate, individualized feedback and graduated coaching with supporting reflection activities as well as summative end-of-unit benchmark assessments. The project has documented the instructional benefits, feasibility, utility, and technical quality of the assessments with over 7,000 students and 80 teachers in four states.
This project covers participants' costs to attend a national conference series focusing upon supporting incipient science education research projects. A primary objective is to provide a venue in which researchers can describe their lines of inquiry and to then receive guidance and input about refining those ambitions. The other primary objective is to promote an innovative conference design in which a structured presentation format serves as an incubator for scholarly work.
This exploratory project aims to develop a community of individuals and organizations working together to address critical issues in K-12 computer science education by broadening the awareness of the need for curriculum computer science standards, providing multiple levels of professional development, conducting and disseminating research in computer science education, and promoting this subject as a unique field of study in schools.
Teachers are extraordinarily important to student learning, but researchers have surprisingly little data about what teachers do moment-to-moment with students. What are the instructional moves and improvisational responses that characterize highly effective practice? To better understand and support U.S. K-12 STEM teachers, this Incubator project will develop a network of "tutor observatories." Tutor observatories are learning environments that record teacher engagements with students along with information about the context of the interaction. From these data, researchers will be able to gain a deeper understanding of STEM teacher practice, identify highly effective practices, and develop training data that can inform a new generation of artificially intelligent tools to support teachers and student learning.
Advancing Reasoning addresses the lack of materials for teacher education by investigating pre-service secondary mathematics teachers' quantitative reasoning in the context of secondary mathematics concepts including function and algebra. The project extends prior research in quantitative reasoning to develop differentiated instructional experiences and curriculum that support prospective teachers' quantitative reasoning and produce shifts in their knowledge.
This project is developing an 8th-grade assessment for proportional reasoning from a cognitive diagnosis model (CDM) framework. CDMs are psychometric models developed specifically for diagnosing the presence or absence of fine-grained skills or processes required in solving problems on a test. Assessments based on CDMs can provide information deemed more diagnostic and descriptive, and therefore, more relevant in applied instructional settings.
This project will investigate whether six urban middle schools are implementing highly effective science, technology, engineering and mathematics (STEM) programs based on factors identified through relevant research and national reports on what constitutes exemplary practices in 21st century-focused schools.
Three-dimensional figures can now be represented as diagrams that appear to extend into space in ways that are free of material or physical constraints. They can be rendered at any size, in any orientation, and at any position in space, and can thereby realize a far more varied set of mathematical concepts than what is possible with physical models. The goal of this project is to investigate the transformative educational potential of these representations and to generate a knowledge base that teachers, teacher educators, and researchers can use to reimagine the learning and teaching of geometry.
The ACCLIME project investigates teachers' uses and adaptations of CMP, an NSF-funded middle school curriculum. The study seeks to better articulate: (1) the ways that teachers adapt CMP over time and how they develop professionally as a result of using the curriculum materials; (2) the connection between district policy, resource development, and teachers' curriculum processes; and (3) the dynamic nature of districts' long-term curriculum implementations.
This project seeks to investigate the possibilities and challenges of using a participatory approach to research and design, centering Black, Indigenous, Latinx, and Hmong students and their families in imagining and creating change. The project will generate new knowledge about the possibilities and limitations of participatory design research (PDR) as a method for advancing equity in mathematics education through PDR cycles at three middle schools over the five years of the project. This approach has the potential to disrupt inequitable practices of mathematics education as well as undemocratic processes for making decisions about mathematics education. Further, it will be a catalyst for developing racially just practices and processes in mathematics education.
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.
The goal of this CAREER program of research is to identify, from a cross-cultural perspective, essential Algebraic Knowledge for Teaching (AKT) that will enable elementary teachers to better develop students' algebraic thinking. This study explores AKT based on integrated insights of the U.S. and Chinese expert teachers' classroom performance.
This project explores possibilities for localized change led by parents and caregivers. By making explicit how to foster and increase Black and Latinx parents’ engagement in solidarity with community organizations and teachers, this project could provide a model for other communities and schools seeking to advance racial justice in mathematics education. Through critical community-engaged scholarship and in collaboration with ten Black and Latinx families, ten teachers, and two community organizations, the research team will co-design and co-study two educational programs aimed at advancing racial justice in elementary mathematics.
This research study expands on the characteristics of mathematical discourse and examines and specifies relationships between descriptive elements across multiple content foci in mathematics. The micro-genetic study is based on examination of video data from multiple routine classroom settings with teachers who demonstrate varying levels of discourse across three curricular topics in mathematics. The resulting framework and redesigned teacher education courses will provide models on which other teacher education programs might build.
This project studies teaching practices in a year-long high school algebra course that integrates hand-held and other electronic devices. Of particular interest is how these technologies can support learners' capacity to efficiently and effectively draw on the distributed intelligences that technical and social networks make available. The investigation focuses on collaborative learning tasks centered on collective mathematical objects, such as functions, expressions, and coordinates that participants in a group must jointly manipulate through networked computers.