Projects

This project expands and augments a currently-funded NSF Noyce Track II teacher recruitment and retention grant with Quality Talk (QT), an innovative, scalable teacher-facilitated discourse model. Over the course of four years, the work will address critical needs in physics and chemistry education in 10th through 12th grade classrooms by strengthening the capacity of participating teachers to design and implement lessons that support effective dialogic interactions.

This project builds and tests applications tied to the school curriculum that integrate the sciences with mathematics, computational thinking, reading and writing in elementary schools. The investigative core of the project is to determine how to best integrate computing across the curriculum in such a way as to support STEM learning and lead more urban children to STEM career paths.

This project will design, develop, and test a new curriculum unit for high school chemistry courses that is organized around the question, "How does chemistry shape where I live?" The new unit will integrate relevant Earth science data, scientific practices, and key urban environmental research findings with the chemistry curriculum to gain insights into factors that support the approach to teaching and learning advocated by current science curriculum standards.

This project investigates stereotype threat at the classroom level and in the context of inquiry-based instruction, in order to develop strategies and a related professional development course, using the principles of Universal Design for Learning, to help teachers learn how to mitigate stereotype threat.

This is a four-year project that is producing materials designed to help teachers see how the mathematical practices described in the Common Core State Standards for mathematics can be implemented in mathematics instruction. The goal of the improved instruction is to help students adopt and value these critical mathematical practices.

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

The Graphing Research on Inquiry with Data in Science (GRIDS) project will investigate strategies to improve middle school students' science learning by focusing on student ability to interpret and use graphs. GRIDS will undertake a comprehensive program to address the need for improved graph comprehension. The project will create, study, and disseminate technology-based assessments, technologies that aid graph interpretation, instructional designs, professional development, and learning materials.

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

This project investigates how to support sustained engagement in computational modeling in middle school classrooms in two ways: 1) Design and develop an accessible modeling toolkit and accompanying thematically linked curricular units; and, 2) Examine how this toolkit and curriculum enable students to become sophisticated modelers and integrate modeling with other scientific practices such as physical experimentation and argumentation.

This exploratory study involves a long-term partnership between the principal investigator (PI) and a middle school teacher and her students. Two major goals of the study are to describe how students learn to collaborate with one another over time to make sense of mathematics, and how students and their teacher negotiate what constitutes equitable collaboration, with African American students' perspectives being prioritized. In this way, it adds to this body of literature by: a) prioritizing African American students? perspectives on collaboration from the outset; b) describing, longitudinally, how students learn to collaborate; c) documenting students' mathematics learning within the context of small groups; and d) developing a set of resources for teacher educators, teachers, and students that focus on equitable groupwork.

This project will examine the impact on mathematics learning of an initiative to provide kindergartners in an urban school district with personal tablet devices that include free, widely available digital mathematics resources. The research questions examine how teachers use table-based mathematics resources during instruction, how caregivers and children engage with table-based mathematics resources, and how the resources then relate to kindergartners mathematics learning.

This project will explore PK-2 teachers' content knowledge by investigating their understanding of the design and implementation of culturally relevant computer science learning activities for young children. The project team will design a replicable model of PK-2 teacher professional development to address the lack of research in early computer science education.

This study examines the impact of the newly revised Advanced Placement (AP) Biology and Chemistry courses on students' understanding of and ability to utilize scientific inquiry, on students' confidence in engaging in college-level material, and on students’ enrollment and persistence in college STEM majors. The project provides estimates of the impact of students' AP-course taking on their progress into postsecondary educational experiences and their intent to continue to prepare to be future engineers and scientists.

This research investigates how state-of-the-art creative and pedagogical agents can improve students' learning, attitudes, and engagement with computer science. The project will be conducted in high school classrooms using EarSketch, an online computer science learning environments that engages learners in making music with JavaScript or Python code. The researchers will build the first co-creative learning companion, Cai, that will scaffold students with pedagogical strategies that include making use of learner code to illustrate abstraction and modularity, suggesting new code to scaffold new concepts, providing help and hints, and explaining its decisions.

This project will study the influence on positive student achievement and engagement (particularly among populations traditionally under-represented in computer science) of an intervention that integrates a computational music remixing tool -EarSketch- with the Computer Science Principles, a view of computing literacy that is emerging as a new standard for Advanced Placement and other high school computer science courses.

The project will develop and refine an electronic Test of Early Numeracy (e-TEN) in English and Spanish that will assess informal and formal knowledge of number and operations in domains including verbal counting, numbering, numerical relationships, and mental addition/subtraction. The overarching goal of the assessment design is to create a measure that is more accurate, more accessible to a wider range of children, and easier to administer than existing measures.

This project will develop and test a learning progression for middle school physical science that incorporates the three dimensions identified in Next Generation of Science Standards (NGSS): the Disciplinary Core Ideas of matter, interaction, and energy; the Science and Engineering Practices of constructing explanations and developing and using models; and the Crosscutting Concepts of cause and effect and systems and system models. Bringing together all three NGSS dimensions is an innovation that allows for the project to explore the variety of learning pathways that students may follow as they apply scientific knowledge and practices to make sense of compelling phenomena or solve complex problems.

The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members.

This project will support students to develop evidence-based explanations for the impact of disturbances on complex systems. The project will focus on middle school environmental science disciplinary core ideas in life, Earth, and physical sciences and serve as a starting point for supporting students to coordinate different sources of information to parse out the direct and indirect effects of disturbances on components of a system and to examine the interconnections between components to predict whether a system will return to equilibrium (resilience) or the system will change into a new state (hysteresis).

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.

This is a collaborative project to develop, test, and analyze sets of technology-supported diagnostic classroom assessments for middle school (grades 6-8) physical science. Assessments are aligned with the performance assessment and evidence-centered design methodologies suggested in the Framework for K-12 Science Education (NRC, 2012).

This project is developing a model for integrating best practices in technology-supported instructional design and formative assessment for genetics instruction in upper elementary, middle and high school. Using the Web-based Inquiry Science Environment platform, the project is developing school curriculum that scaffold and model scientific practices, enable students to interface with real-world problems, provide opportunities for students to make connections between visible phenomena and underlying genetic processes, and promote student monitoring and reflection on learning.

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.