Projects

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 aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

This project aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.

There have been prominent and widespread calls for high school science students to work with data in more complex ways that better align with and support the work of professional scientists and engineers. However, high school students' analysis and interpretation of scientific data is often limited in scope, complexity, and authentic purpose. This project aims to support and advance students' work with ecological data in high school biology classrooms by embracing a new approach: Bayesian data analysis methods. Such methods involve expressing initial ideas or beliefs and updating them quantitatively with data that students access or record. This project will empower 20 high school teachers and their approximately 1,200 students to make sense of data within and beyond classroom contexts. It also will involve sharing research findings, an educational technology tool for Bayesian data analysis, and curricular resources in open and accessible ways.

This project aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

Acquiring scientific knowledge and skills requires persisting through challenges, yet it has become increasingly common for parents in the United States to step in and solve problems for their children. This type of over-engaged parenting leads preschool-age children to have lower persistence, lower executive function, and worse reading and math achievement in grade school across socioeconomic backgrounds. Prior work leaves open major theoretical and practical questions about the beliefs that drive over-engaged parenting and children’s response to it. Our research aims to fill these gaps by examining the causes and consequences of over-engaged parenting so that we can better understand how caregivers can support children's scientific success upon school entry.

This project examines the effect of an assessment system that automatically generates feedback based on students’ open-ended assessment responses in chemistry and physics consistent with a previously-developed learning progression that describes the successively more complex understandings students can develop about electrical interactions. The scoring system will provide individualized feedback to students and class summaries to their teachers.

EarthX is a design-based research project that supports the integration of Earth science into high school biology, chemistry, and physics courses in Baltimore City Public Schools, while also supporting the district’s transition to three-dimensional (3D), ambitious and equitable science teaching aligned with the Next Generation Science Standards (NGSS). EarthX builds on the success of the Integrating Chemistry and Earth Science (ICE) DRK-12 project, which developed innovative chemistry course curriculum materials and PD strategies, to support Earth science integration into biology and physics course curriculum development and 3D teaching. EarthX will develop, test, and refine embedded and unit assessments for all three courses, along with providing an online system for assessment administration; real-time reporting to teachers and students; and provision of data to PD leaders, administrators, and researchers for multiple purposes. Assessments will be 3D, featuring core concepts from both Earth science and the course discipline combined with a science or engineering practice and a crosscutting concept.

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.

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 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 will design and research a professional development (PD) model in which elementary teachers experience integrated, place-based, culturally sustaining STEM curriculum focused on local watersheds and grounded in local Native American cultural values and knowledge. The teachers will then design and implement their own culturally relevant STEM unit, guided by the PD, which is situated within their local watershed and Indigenous community.

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.

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.

The project will design, develop, and test a research-based professional development (PD) approach that will ensure that teachers, and ultimately their middle-school students, have the knowledge to act in a way that promotes zero net loss of biodiversity in their communities. Through their participation in the PD, teachers will be equipped to plan for and implement NGSS-aligned instruction, facilitate student identification and understanding of biodiversity and environmental justice issues in their local community, and foster student capacity to take action. Students will come to understand that biodiversity is a global issue that they can influence at the local level, and will become empowered, in both their knowledge and their agency, to be leaders in solving biodiversity problems in their communities.

This project aims to create and study an Equitable and Interactive Mathematical Modeling (EIM2) program that positions students as decision makers in their own learning. Despite the value of connecting students’ life experiences with their mathematical learning, the practical implementation of this strategy has proven challenging in a classroom setting. EIM2 addresses this issue by supporting students to engage in equitable mathematical modeling, a process of using mathematics to analyze and quantify scenarios through a lens of equity.

With increased focus on STEM education for students with extensive support needs ESN, engineering practices highlight the importance of problem-solving skills (e.g., systems thinking, creativity), and engineering lessons/units may provide a viable format for systematically planned math and science instruction that naturally embeds opportunities to teach students skills promoting increased self-regulated learning. Due to lack of prior experience teaching engineering, little is known about how teachers of students with ESN scaffold instruction to build their students’ engineering practices. Thus, this project focuses on teachers’ development of engineering practices, including how teachers support their students’ development of engineering-focused behaviors and mindsets through instruction.

In this project, we examine middle-school students’ understandings of coordinate systems and frames of reference prior to examining their graph construction and interpretation. This focus allows us to design instructional materials that can support students’ graphing understandings in ways that avoid or mitigate how persistent challenges in students’ graphing understandings identified in the research literature.

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.

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.

The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs. The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.