Projects

This project examines middle school students’ graph literacy from an asset-based perspective, documenting the ways in which students think about graphs (i.e., their cognitive strategies and intuitive insights), and the ways in which instruction can build upon that thinking in order to support the development of graph literacy. Drawing from students’ graphical representations of real-life contexts (e.g., population growth) that span various mathematical domains, this program of research will develop a holistic theoretical framework that can inform mathematics instruction in multiple content areas.

The development of six curricular projects that integrate mathematics based on the Common Core Mathematics Standards with science concepts from the Next Generation Science Standards combined with an engineering design pedagogy is the focus of this CAREER project.

The project at Spelman College includes activities that develop computational thinking and encourage middle school, African-American girls to consider careers in computer science. Over a three-year period, the girls attend summer camp sessions of two weeks where they learn to design interactive games. Experts in Computational Algorithmic Thinking as well as undergraduate, computer science majors at Spelman College guide the middle-school students in their design of games and exploration of related STEM careers.

Doing science requires that students learn to create evidence-based arguments (EBAs), defined as claims connected to supporting evidence via premises. In this CAREER project, I investigate how argumentation ability can be enhanced among middle school students. The project entails theoretical work, instructional design, and empirical work, and involves 3 middle schools in northern Utah and southern Idaho.

This project will design opportunities for mathematics and science teachers to coordinate their instruction to support a more coherent approach to teaching statistical model-based inference in middle school. It will prepare teachers to help more students develop a deeper understanding of ideas and practices related to measurement, data, variability, and inference and to use these tools to generate knowledge about the natural world.

The aim of this project is to explore the hypothesis that a curricular focus on quantitative reasoning in middle grades mathematics can enhance development of student skill and understanding about mathematical proof. The project is addressing that hypothesis through a series of studies that include small group teaching experiments with students, professional development work with teachers, and classroom field tests of curricular units that connect quantitative reasoning and proof in algebra.

This project considers how teachers’ engagement in scientific sensemaking as an opportunity for teachers’ learning to support more expansive science learning environments. It seeks to address two ongoing challenges in science teacher education: the need for teachers to learn (1) to recognize, value, and integrate students’ diverse ways of knowing, communicating, and relating with one another and phenomena and (2) to acknowledge and disrupt restrictive narratives that shape what counts as science in schools and who is seen as a scientist. This project will provide new models for science teacher education to engage teachers in expansive scientific sensemaking, seeking to develop more humanizing relationships between teachers, students, and science. More broadly, the project will produce a new structure for professional learning and resources for supporting more heterogeneous and equitable forms of science in teacher education. 

This research project aims to explore and understand how geographic information systems (GIS) can be used to promote and teach spatial thinking and social science inquiry skills. It addresses the research question: What are effective teaching practices using GIS to teach spatial thinking and social science inquiry in middle-school and undergraduate classrooms? This program will study the effectiveness of teaching practices for social science instruction with GIS in urban public schools for specific learning objectives.

The research and educational activities of this project focus on advancing the field in the area of fraction operation algorithm development. The goal of this research is to identify core mathematical teaching practices that engage and support students in algorithmic thinking associated with fraction operations. The educational product of this work will be written educational materials that can be used to support the general population of teachers in this domain.

This project supports school-based science teachers and students in conducting community-based science research on the causes and effects of extreme heat/urban islands in racially and ethnically diverse communities. Teachers will participate in professional learning experiences that support their development of content knowledge, scientific research practices, and critical pedagogies needed to design and implement research projects in their classroom. Students will identify locally-relevant issues related to this phenomenon, conduct investigations to explore the issue, share their findings through arts-based community narratives, and advocate for change. This project will broaden access to empowering youth-centered approaches that support learning and identity construction in science.

This project characterizes and analyses the developing mathematical identities of Latinx students transitioning from elementary to middle grades mathematics. The central hypothesis of this project is that elementary Latino students' stories can identify how race and language are influential to their mathematical identities and how school and classroom practices may perpetuate inequities.

This project will develop and investigate mathematics language routines focused on data science topics in middle and high school. The study will investigate teachers’ use of mathematics language routines and a professional development model to support teachers’ learning. The educational integration plan in the project will build mathematics teacher expertise and create video cases to support teacher professional development.

This CAREER proposal has four objectives: 1) examine the nature of mathematics teachers' learning opportunities for instructional improvement, 2) examine how work contexts influence the quality of teacher learning opportunities, 3) examine the impact of teacher learning opportunities on changes in student mathematics achievement over four years, and 4) work with district and school administrators to promote instructional improvement and student achievement by effectively providing learning opportunities to mathematics teachers.

This project addresses a gap between vision and implementation of state science standards by designing a coordinated suite of instructional, assessment and teacher professional learning materials that attempt to enact the vision behind the Next Generation Science Standards. The study focuses on using state-of-the-art technology to create an 8-week long, immersive, life science field experience organized around three investigations.

This project provides middle school students and teachers access to live scientific data from the Center for Embedded Networked Sensing, and curriculum modules built around sensor networks that target core life science content and inquiry standards. This Web-based architecture allows students from ethnically diverse urban schools, typically underserved by technological innovation, to explore the same data that scientists use, and develops and evaluates fading technological and pedagogical scaffolds for inquiry as students gain competence.

This project draws from the expertise of a fully collaborative educator-scientist team to create learning progressions, curricular units and assessment instruments towards large scale research on the teaching and learning of climate change and impacts by 7-12^th graders in primarily under-resourced schools. Products include eight week curricular units, IPCC-compliant simplified future scenarios, an online interface with guided predictive distribution modeling, and research results.

Computational and algorithmic thinking are new basic skills for the 21st century. Unfortunately few K-12 schools in the United States offer significant courses that address learning these skills. However many schools do offer robotics courses. These courses can incorporate computational thinking instruction but frequently do not. This research project aims to address this problem by developing a comprehensive set of resources designed to address teacher preparation, course content, and access to resources.

The project addresses the relatively poor mathematics achievement of students who are not proficient in English. It includes research on how English language learners in beginning algebra classes solve math word problems with different text characteristics. The results of this research inform the development of technology-based resources to support ELLs’ ability to learn mathematics through instruction in English, including tutorials in math vocabulary, integrated glossaries, and interactive assistance with forming equations from word problem text.

This project will develop a process for creating a shared, state-wide vision of high-quality mathematics instruction. It will also develop and study the resources to implement that vision at the state, district, and school levels. In addition, the project will investigate a collaborative process of designing and implementing high-quality mathematics instruction at a state level.

This project will develop a process for creating a shared, state-wide vision of high-quality mathematics instruction. It will also develop and study the resources to implement that vision at the state, district, and school levels. In addition, the project will investigate a collaborative process of designing and implementing high-quality mathematics instruction at a state level.

This project will develop a process for creating a shared, state-wide vision of high-quality mathematics instruction. It will also develop and study the resources to implement that vision at the state, district, and school levels. In addition, the project will investigate a collaborative process of designing and implementing high-quality mathematics instruction at a state level.

This project will develop a process for creating a shared, state-wide vision of high-quality mathematics instruction. It will also develop and study the resources to implement that vision at the state, district, and school levels. In addition, the project will investigate a collaborative process of designing and implementing high-quality mathematics instruction at a state level.

This RAPID project responds to the Buffalo blizzard of 2022 (Buffalo, NY) by developing, with and for the community, a science education curriculum framework focused on disaster justice and resilience. This project will document the science education human and social impact of the blizzard by capturing the experiences, reflections, and needs of science teachers, Black and Brown community leaders, and families who were directly affected.

This project will design and study an innovative model of collaborative learning for pre-service and experienced elementary, middle, and secondary mathematics teachers that focuses on equitable mathematics teaching practices that include understanding students' knowledge, math understandings, and experiences they bring to the classroom.

This project is studying effects of linguistically sensitive science instructional materials by translating, enhancing, and evaluating culturally relevant and linguistically appropriate Collaborative Online Projects (originally written in Spanish) for middle school Spanish-speaking English Language Learners.