Projects

Students of color must have access to robust and meaningful opportunities to learn science in classrooms that center their assets and humanity. This project aims to cultivate such spaces through designing and studying teacher professional learning focused on pedagogical practices that engage students of color meaningfully in science learning. These practices leverage students’ assets to foster growth in science and scientific habits of mind. This project will support pre-service and practicing teachers in developing tools for practice and reflection that focus on equity and highlighting the assets of students of color in secondary science.

This project examines the development of statistical literacy that combines statistical reasoning and thinking. The project will use professional learning communities for teachers to learn about statistical literacy and develop learning experiences for their students. The project will engage students and teachers in finding meaningful ways to use statistical reasoning to make data-based arguments and reason about patterns they observe in society.

This CAREER award aims to study the construct of "epistemic empathy" and examine how it can be cultivated in science and mathematics teacher education, how it functions to promote responsive teaching, and how it shapes learners' engagement in the classroom. In the context of this project, epistemic empathy is defined as the act of understanding and appreciating another's cognitive and emotional experience within an epistemic activity aimed at the construction, communication, and critique of knowledge.

Environmental issues like wildfires can serve as effective science learning contexts to promote scientific literacy and citizenship. This project will partner with teachers, teacher educators, and disciplinary experts in data science, fire ecology, public health, and environmental communication to co-design a data-driven, justice-oriented, and issue-based unit on wildfires. In the unit, student will engage in various data practices to gain insights into the issue of wildfires and how it affects their lives and communities. The project seeks to theorize how learners can leverage disciplinary knowledge and practices in environmental and data science as a foundation for making data-informed actions towards a more just and sustainable society.

The goal of this project is to improve the quality of middle school science in a select number of schools and to gain insight into effective science professional development practice more generally. The project will focus on the following objectives: (1) increasing the quantity and quality of inquiry-based instruction; (2) facilitating the development and implementation of inquiry-based instruction; and (3) improving student achievement in middle school science classrooms.

Covariational reasoning, or the ability to reason about relationships as quantities change together, is one way of thinking that can provide a foundation for students to build their more abstract algebraic knowledge. This research builds a foundation for integrating education and research at the intersection of students’ developing algebraic knowledge, covariational reasoning, and new educational technologies to create a new path into algebra. This path can help remove barriers that have historically restricted access to mathematics and STEM coursework and careers.

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.

This project will aim to investigate how to increase equitable and active participation of diverse students' science learning in middle schools. The central premise of this study will be that building upon and integrating diverse students' funds of knowledge into their learning opportunities would contribute to create equitable access to effective participation.

This study seeks to describe trajectories that describe the ways in which Black learners develop as particular kinds of mathematical learners. The study takes place in the context of an established, multi-year college bridge program that has as its goals to increase the representation of historically marginalized groups in the university community.

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.

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 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.

This project addresses a crucial need in K-12 science teacher education to respond to local school district needs for high-quality science teaching and the role of teacher education programs to develop programs that provide prospective teachers the best opportunity for success as science teachers. Specifically, the project aims to advance science teacher education by applying a pragmatic, iterative approach to developing teacher education program resources and tools that will support the implementation of evidence-based STEM teaching and learning practices in K-12 science classrooms. The project will identify evidence-based STEM teaching and learning practices through a systematic review of K-12 STEM education research and resources. Rather than generate new evidence, the project leverages the evidence that already exists to support educators in adapting and sustaining existing high-quality practices that have already demonstrated positive impacts on students' STEM learning.

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.

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.

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.

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.

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 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.

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 will develop a sustainable Research-Practice Partnership (RPP) model between the Worcester Public Schools (WPS) and the Learning Sciences Lab at Worcester Polytechnic Institute (WPI). Together, WPI and WPS will build the collaborative infrastructure for conducting impactful STEM education research within WPS. Specifically, the RPP will establish and document shared infrastructural systematic processes and materials, brainstorm and facilitate research ideas that address pressing issues in mathematics education, and build a community of trust among researchers, administrators, teachers, and families to make future research and implementation, innovation, and collaboration more impactful, accessible, and efficient.

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 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 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.