Projects

The goal of this project is to help middle school students, particularly in rural and underserved areas, develop deep scientific knowledge and knowledge of the practices and routines of science. Research teams will develop an innovative learning environment called Bio-Sphere, which will foster learning of complex science issues through hands-on design and engineering.

This project builds capacity for middle school teachers to enact and adapt integrated STEM curriculum units with their students. The units will focus on biomimicry—examining structures and functions found in nature and applying these to solve human problems, which combines science, engineering, and technology. The project enables teachers to design activities that are personally authentic to their students by supporting teachers to examine their students' assets, needs, and interests and center these during unit design.

This project addresses a critical need to help middle school teachers learn to incorporate data science in their teaching. It uses an open-source platform called the Common Online Data Analysis Platform (CODAP) as a tool for teachers to learn about data science and develop resources for students’ learning. The project team will develop a framework for teachers’ knowledge of data science teaching and learning. Insights from the project will help develop effective practices for teaching data science and understanding how students learn data science.

To act on energy issues, students need a strong understanding of energy flow and energy efficiency. However, students rarely have opportunities to learn about how buildings, such as their own school, drive about 40% of energy use and global carbon emissions. Addressing this gap in science education, this project will design, pilot, and evaluate a 6-week middle school curriculum called Build it Green! (BIG!). Blending classroom experiences and interactive digital learning tools, the researchers will work with rural middle schools in Missouri to implement and test how following the story of energy flow in and out of a hypothetical school building enhances students’ understanding of energy systems in the science of green buildings.

This conference will bring together a group of teacher educators to focus on preservice teacher education and a shared vision of instruction called ambitious science teaching. It is a critical first step toward building a community of teacher educators who can collectively share and refine strategies, tools, and practices for preparing preservice science teachers for ambitious science teaching.

This project will build on prior funding to design a next generation diagnostic assessment using learning progressions and other learning sciences research to support middle grades mathematics teaching and learning. The project will contribute to the nationally supported move to create, use, and apply research based open educational resources at scale.

This project will address the pressing national need to generate shared, practice-based knowledge about how to implement freely available, high-quality instructional resources (mathematics formative assessment lessons) that have been shown to produce significant gains in student learning outcomes. It will expand a professional development model (Analyzing Instruction in Mathematics using the Teaching for Robust Understanding Framework (AIM-TRU)) that supports teacher learning about effective lesson implementation.

Understanding Science provides an accurate portrayal of the nature of science and tools for teaching associated concepts. This project has at its heart a public re-engagement with science that begins with teacher preparation. To this end, its immediate goals are (1) improve teacher understanding of the nature of the scientific enterprise and (2) provide resources and strategies that encourage and enable K-16 teachers to incorporate and reinforce the nature of science throughout their science teaching.

This project will use visualizations from an easily accessible tool from NOAA, Science On a Sphere, to help students develop critical thinking skills and practices required to effectively make meaning from authentic scientific data. The project will use arts-based pedagogies for observing, analyzing, and critiquing visual features of data visualizations to build an understanding of what the data reveal. The project will work with middle school science teachers to develop tools for STEM educators to use these data visualizations effectively.

This project will develop and test the impact of heredity and evolution curriculum units for middle school grades that are aligned with the Next Generation Science Standards (NGSS). The project will advance science teaching by investigating the ways in which two curriculum units can be designed to incorporate science and engineering practices, cross-cutting concepts, and disciplinary core ideas, the three dimensions of science learning described by the NGSS. The project will also develop resources to support teachers in implementation of the new modules.

The goal of this planning grant is to explicitly focus on broadening participation in the K-12 STEM teaching workforce, with the theory of action that diversifying the K-12 STEM teaching workforce would in the long term help more students see STEM as accessible to them and then be more likely to choose a STEM degree or career.

This bilateral workshop examines the preparation of mathematics teachers in the United States and China. It will initiate knowledge exchanges among teacher educators in both countries and forge a joint research agenda. Objectives include increasing the comparative knowledge base in both nations about promising practices in and existing challenges to mathematics teacher preparation and mathematics instruction, and promoting the exchange of ideas and exploration of questions and points for possible collaborative research in mathematics education.

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.

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.

STEM learning is a function of both student level and classroom level characteristics. Though research efforts often focus on the impacts of classrooms level features, much of the variation in student outcomes is at the student level. Hence it is critical to consider individual students and how their developmental systems (e.g., emotion, cognition, relational, attention, language) interact to influence learning in classroom settings. This is particularly important in developing effective models for personalized learning. To date, efforts to individualize curricula, differentiate instruction, or leverage formative assessment lack an evidence base to support innovation and impact. Tools are needed to describe individual-level learning processes and contexts that support them. The proposed network will incubate and pilot a laboratory classroom to produce real-time metrics on behavioral, neurological, physiological, cognitive, and physical data at individual student and teacher levels, reflecting the diverse dynamics of classroom experiences that co-regulate learning for all students.

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.

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.