Projects

This project tests and refines a hypothetical learning trajectory and corresponding assessments, based on the collective work of 50 years of research in mathematics education and psychology, for improving students' ability to reason, prove, and argue mathematically in the context of algebra. The study produces an evidence-based learning trajectory and appropriate instruments for assessing it.

This project is creating five video-case modules for use in professional development of middle school mathematics teachers. The materials are designed to develop teachers' understanding of mathematics knowledge for teaching similarity. In total, 18-24 video cases will be produced, which, taken together, form the curriculum of a 45- to 60-hour professional development course.

This project is testing the effectiveness of the 'Learning Assistant Model' for recruiting, preparing, and retaining STEM K-12 teachers by developing a suite of survey instruments that can be used by researchers interested in testing the effectiveness of teacher preparation programs, course transformations, or conceptual or pedagogical knowledge. It focuses on teacher certification programs,K-12 contexts and students' experiences in STEM departments and the role of STEM research faculty in preparing future teachers.

Data literacy is the ability to ask questions, analyze, interpret, and draw conclusions from data. As the world and the workplace become more data-driven, students need to have stronger data literacy across multiple disciplines, including science. This project uses an instructional framework, Data Puzzles, to investigate how to support middle grades teachers learning to include data literacy in their science teaching. Data Puzzles integrate mathematical and computational thinking with ambitious science teaching instructional practices and contemporary science topics. Students engaging with Data Puzzles resources can analyze real-world climate science data using web-based data analysis tools to make sense of science phenomena and develop data literacy.

Data literacy is the ability to ask questions, analyze, interpret, and draw conclusions from data. As the world and the workplace become more data-driven, students need to have stronger data literacy across multiple disciplines, including science. This project uses an instructional framework, Data Puzzles, to investigate how to support middle grades teachers learning to include data literacy in their science teaching. Data Puzzles integrate mathematical and computational thinking with ambitious science teaching instructional practices and contemporary science topics. Students engaging with Data Puzzles resources can analyze real-world climate science data using web-based data analysis tools to make sense of science phenomena and develop data literacy.

In this project, researchers will collaborate to enhance understanding of influences on learning, and improve teaching and learning in high school and middle school STEM classes. They will leverage the latest tools for data processing and many different streams of data that can be collected in technology-rich classrooms to (1) identify classroom factors that affect learning and (2) explore how to use that data to automatically track development of students' understanding and capabilities over time.

This project is developing teaching modules that engage high school students in learning and using mathematics. Using geo-spatial technologies, students explore their city with the purpose of collecting data they bring back to the formal classroom and use as part of their mathematics lessons. This place-based orientation helps students connect their everyday and school mathematical thinking. Researchers are investigating the impact of place-based learning on students' attitudes, beliefs, and self-concepts about mathematics in urban schools.

The project has had three major areas of focus:  (1) Offering professional development to help elementary and 6th grade teachers become more responsive teachers, attending and responding to their students' ideas and reasoning; (2)  Developing web-based resources (both curriculum and case studies) to promote responsive teaching in science; and (3) research how both teachers and students progress in their ability to engage in science inquiry. 

Through this project, researchers will develop internet-based assessments designed to capture learning outcomes that (a) measure the higher order cognitive skills that are essential to current reform efforts, and (b) that report results in ways that are readily accessible and interpretable.

This project hypothesizes that learners must have access to the real work of scientists if they are to learn both about the nature of science and to do inquiry themselves. It explores the question "How can informal science education institutions best design resources to support teachers, school administrators, and families in the teaching and learning of students to conduct scientific investigations and better understand the nature of science?"

This project is studying measurement practices from pre-K to Grade 8, as a coordination of the STEM disciplines of mathematics and science. This research project tests, revises and extends learning trajectories for children's knowledge of geometric measurement across a ten-year span of human development. The goal will be to validate all components of each learning trajectory, goal, developmental progression, and instruction tasks, as well as revising each LT to reflect the outcomes of the experiments.

LOCUS (Levels of Conceptual Understanding in Statistics) is an NSF Funded DRK12 project (NSF#118618) focused on developing assessments of statistical understanding. These assessments will measure students’ understanding across levels of development as identified in the Guidelines for Assessment and Instruction in Statistics Education (GAISE). The intent of these assessments is to provide teachers and researchers with a valid and reliable assessment of conceptual understanding in statistics consistent with the Common Core State Standards (CCSS).

The core research questions of the project are: (1) What is the nature of high-leverage student thinking that teachers have available to them in their classrooms? (2) How do teachers use student thinking during instruction and what goals, orientations and resources underlie that use? (3) What is the learning trajectory for the teaching practice of productively using student thinking? and (4) What supports can be provided to move teachers along that learning trajectory?

The core research questions of the project are: (1) What is the nature of high-leverage student thinking that teachers have available to them in their classrooms? (2) How do teachers use student thinking during instruction and what goals, orientations and resources underlie that use? (3) What is the learning trajectory for the teaching practice of productively using student thinking? and (4) What supports can be provided to move teachers along that learning trajectory?

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.

The project makes use of technology to create timely, valid, and actionable reports to teachers by analyzing assessments and logs of student actions generated in the course of using computer-based curriculum materials. The reports allow teachers to make data-based decisions about alternative teaching strategies. The technology supports student collaborations and the assignment of different learning activities to groups, an essential function needed for universal design for learning (UDL).

This project builds on a prior study that demonstrated increases in students' knowledge of argumentation and their performance on mathematics assessments. The project will extend the use of the argumentation intervention into all eighth grade content areas, with a specific focus on students' learning of reasoning and proof, and contribute to understanding how students' learning about mathematical practices that can help them learn mathematics better.

The focus of this conference is to carefully examine past and current research with an eye toward improving its impact on practice and to create concrete steps that could shape the nature and impact of mathematics education research.

A major scientific issue of our time is global warming and climate change. Many facets of human life are and will continue to be influenced by this. However, an adequate understanding of the problem requires an understanding of various domains of science. There has been little research done on effects of intervention on student learning of these topics. This project shows an improvement in student knowledge of climate change and related issues.

This project is exploring teachers' capacity to manage student epistemic uncertainty as a pedagogical resource that supports student’s productive struggle and the development of conceptual knowledge during project-based learning instruction in middle school science classrooms.

This project is using data from interviews with 160 K-12 students and 20 adults to describe common understandings and progressions of development for negative number concepts and operations. The project is motivated by the widely acknowledged finding that students have difficulty mastering key concepts and skills involved in work with integers.

Education researchers, practitioners, industry representatives, and policymakers are increasingly committed to making engineering education accessible to all K-12 students and teachers. This project is designed to learn what type of collaborative infrastructure would best support NSF awardees in engaging in the innovative, synergistic research, development, and dissemination activities that will enable engineering to fulfill this important role in K-12 teaching and learning. 

This project addresses the need for new electronic materials and associated processes for applications in microelectronics, optics and sensors. Materials growth methods, electrical, chemical and physical characterization, pattern generation, device fabrication, and theory/modeling are invoked to ensure holistic and interdisciplinary approaches to the development and investigation of novel materials and devices.