Projects

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.

This project is initiating an innovative approach to pre-K students' development of quantitative reasoning through measurement. This quantitative approach builds on measurement concepts and algebraic design of the pre-numeric stage of instruction found in the Elkonin-Davydov (E-D) elementary mathematics curriculum from Russia. The project team is adapting and refocusing the conceptual framework and learning tasks of the E-D pre-numeric stage for use with four-year-olds.

This project lays the foundation and framework for enabling digital, multimodal tactile graphics on touchscreens for individuals with visual impairments (VI). Given the low-cost, portability, and wide availability of touchscreens, this work promotes the use of vibrations and sounds on these readily available platforms for addressing the graphical access challenge for individuals with VI. An open-source vibration library has been created and fundamental perceptual building blocks (e.g.\ shapes, lines, critical points, line width and gaps, etc.) guiding how basic graphical components should be rendered on these platforms is being disseminated.

This project lays the foundation and framework for enabling digital, multimodal tactile graphics on touchscreens for individuals with visual impairments (VI). Given the low-cost, portability, and wide availability of touchscreens, this work promotes the use of vibrations and sounds on these readily available platforms for addressing the graphical access challenge for individuals with VI. An open-source vibration library has been created and fundamental perceptual building blocks (e.g.\ shapes, lines, critical points, line width and gaps, etc.) guiding how basic graphical components should be rendered on these platforms is being disseminated.

This project lays the foundation and framework for enabling digital, multimodal tactile graphics on touchscreens for individuals with visual impairments (VI). Given the low-cost, portability, and wide availability of touchscreens, this work promotes the use of vibrations and sounds on these readily available platforms for addressing the graphical access challenge for individuals with VI. An open-source vibration library has been created and fundamental perceptual building blocks (e.g.\ shapes, lines, critical points, line width and gaps, etc.) guiding how basic graphical components should be rendered on these platforms is being disseminated.

This project lays the foundation and framework for enabling digital, multimodal tactile graphics on touchscreens for individuals with visual impairments (VI). Given the low-cost, portability, and wide availability of touchscreens, this work promotes the use of vibrations and sounds on these readily available platforms for addressing the graphical access challenge for individuals with VI. An open-source vibration library has been created and fundamental perceptual building blocks (e.g.\ shapes, lines, critical points, line width and gaps, etc.) guiding how basic graphical components should be rendered on these platforms is being disseminated.

The goal of this project is to investigate the extent to which individual differences in informal fraction-related knowledge in first-grade children are associated with short- and longer-term fractions and math outcomes, and to see whether there is a causal link between level of informal fraction-related knowledge and the ability to profit from fractions instruction that directly builds on this knowledge.

This project is comparing and evaluating different models for the delivery of online professional development aimed at elementary science teachers. The focus is on asynchronous (anytime, anywhere) and minimally facilitated models, because these approaches hold promise for reaching large numbers of teachers in a cost-effective way. The research capitalizes on experiences with BCM's award-winning, high traffic website for educators, BioEd Online.

Building on successful prior work, this project simultaneously targets young children's teachers and families/caregivers in an effort to build both parties' capacity to promote student interest in science, technology, engineering and mathematics (STEM) learning. The project aims to: 1) Transform early childhood science teaching based upon Next Generation Science Standards (NGSS) to measurably increase student science, literacy, and math achievement, and 2) Engage families of PreK-3 students in science inquiry practices to measurably improve student science, literacy, and math achievement.

This project investigates 3rd-grade students' model-based reasoning about hydrologic systems and how teachers scaffold students' engagement in modeling practices. The research builds upon existing modeling frameworks to guide the development and integration of a long-term conceptual modeling task into the Full Option Science System (FOSS) Water module. The data collected from this project can help inform science curriculum materials development and elementary teacher preparation efforts designed to foster reform-oriented, model-centered elementary science learning environments.

This project assesses the impact of scaling-up the teaching of physics and engineering to women students in grade levels 11 and 12, particularly in reference to retention. The aim is to mobilize high school physics teachers to "attract and recruit" female students into physics and engineering careers. The project will advance physics identity research by testing research-based approaches/interventions with larger groups of teachers and connecting research to practice in ways that are both widely deployable and practical for teachers to implement.

This project is developing and evaluating effectiveness of 15 - 20 short computer mediated animations and games that are designed to: (1) increase students' conceptual understanding in especially problematic topics of middle grades mathematics; and (2) increase students' mathematics process skills with a focus on capabilities to think and talk mathematically.

Math Pathways & Pitfalls lessons for students boost mathematics achievement for diverse students, including English Learners, English Proficient students, and Latino students. This project develops modules that increase teachers’ capacity to employ the effective and equitable principles of practice embodied by Math Pathways & Pitfalls and apply these practices to any mathematics lesson. This four-year project develops, field tests, and evaluates 10 online professional development modules.

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 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 aims to support the mathematics learning of students with disabilities through the development and use of mixed reality simulations for elementary mathematics teacher preparation. These simulations represent low-stakes opportunities for preservice teachers to practice research-based instructional strategies to support mathematics learning, and to receive feedback on their practices.

This project aims to support the mathematics learning of students with disabilities through the development and use of mixed reality simulations for elementary mathematics teacher preparation. These simulations represent low-stakes opportunities for preservice teachers to practice research-based instructional strategies to support mathematics learning, and to receive feedback on their practices.

The purpose of this project is to test the efficacy of the Learning and Teaching with Learning Trajectories (LT2) program with the goal of improving mathematics teaching and thereby increasing young students' math learning. LT2 is a professional development tool and a curriculum resource intended for teachers to be used to support early math instruction and includes the mathematical learning goal, the developmental progression, and relevant instructional activities.

This project aims to improve professional development programs for pre-service teachers (PSTs) as a way to improve student learning in mathematics and science. PSTs engage in a series of teaching cycles, and then engage in lesson study groups to develop, teach, and analyze a whole-class lesson. The cycle is completed by reexamining students' knowledge in teaching experiments with pairs of students. These teaching cycles are called Iterative Model Building (IMB).

Investigations in Cyber-enabled Education (ICE) strives to provide a professional development design framework for enhancing teacher ability to provide science, technology, and math (STM) instruction for secondary students. Exploratory research will clarify ICE framework constructs and gather empirical evidence to form the basis of anticipated further research into the question: Under what circumstances can cyber-enabled collaboration between STM scientists and educators enhance teacher ability to provide STM education?

To meet College and Career-Ready standards in mathematics, classroom instruction must change dramatically.  As in past reform efforts, many look to professional development as a major force to propel this transformation, yet not enough is known about mathematics professional development programs that operate at scale in the United States. In this project, we evaluated one such program.

This project will study the aspects of genetics instruction that affect students' beliefs in neurogenetic essentialism, which is implicated in lowering girls' sense of STEM abilities, feeling of belonging in STEM classes, and interest in pursuing further education in STEM fields. The goal of the project is to answer important questions about how to teach genetics at the high school level in a manner that is scientifically accurate but does not have these detrimental side effects.

This project will provide structured and meaningful scaffolds for teachers in examining two research-based teaching strategies hypothesized to positively impact mathematics achievement in the areas of mathematical modeling and problem solving. The project investigates whether the order in which teachers apply these practices within the teaching of mathematics content has an impact on student learning.

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.

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.