Projects

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 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.

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.

This project will research the programmatic changes that resulted from the NSF investment in Centers for Learning and Teaching of Mathematics (CLT) at the 31 participating institutions. It will provide information on the core elements of doctoral preparation in mathematics education at the institutions and ways in which participation in the CLTs has changed their programs.

In its first five years, this project established a durable and vibrant learning community of high school teachers, high school students, university students, scientists, faculty, and associated stake-holders that continues to attract science and math students, using the project’s cutting-edge science and advanced cyberinfrastructure as compelling elements of study. This project continues by providing an education and research partnership derived from basic research in particle physics, grid computing, and advanced networking.

This project establishes a Center to conduct research and education on the interactions of nanomaterials with living systems and with the abiotic environment. The research combines high throughput screening assays with computational and physiological modeling to predict impacts at higher levels of biological organization. It will unite the fields of engineering, chemistry, physics, materials science, cell biology, ecology, toxicology, computer modeling, and risk assessment to establish the foundations of a new scientific discipline: environmental nanotoxicology.

This project will develop a comprehensive framework to inform and guide the analytic design of teacher professional development studies in mathematics. An essential goal of the research is to advance a science of teaching and learning in ways that traverse both research and education.

This project covers participants' costs to attend a national conference series focusing upon supporting incipient science education research projects. A primary objective is to provide a venue in which researchers can describe their lines of inquiry and to then receive guidance and input about refining those ambitions. The other primary objective is to promote an innovative conference design in which a structured presentation format serves as an incubator for scholarly work.

The primary purpose of this international conference was for participants in the US to exchange views and discuss the latest research findings on (primary) science assessment. The conference focused on research around building assessment systems that help teachers diagnose student learning in the classroom but also link meaningfully to large-scale accountability systems (in districts or national levels). The project resulted in a report, proceedings, journal publications.

This project will focus on a networked improvement community (NIC) model of professional learning that shifts K-5 science instruction from traditional approaches to a three-dimensional design as outlined in the Next Generation Science Standards. The project will feature a multi-level model involving university educators and researchers and school district practitioners in an effort to co-defined problems of practice valuable to both parties. A mixed methods research design will examine how the NIC model develops professional capital through changes in implementation over multiple iteration.

This workshop provides minority serving institutions with an opportunity to engage in dialogue about effective ways to create, implement, and evaluate models of intervention that will advance knowledge about retaining underrepresented minorities in STEM fields. It will advance knowledge in life science and the biosciences for K-12 and undergraduate students attending local schools or eligible minority-serving institutions. The workshop will focus on assisting minority serving institutions with use of research designs, and review of best practices for intervention shown to be effective in helping underrepresented student cope with chronic stresses that interfere with their retention in STEM fields and careers.

This collaborative project is developing instruments to assess secondary teachers' Mathematical Habits of Mind (MHoM). These habits bring parsimony, focus, and coherence to teachers' mathematical thinking and, in turn, to their work with students. This work fits into a larger research agenda with the ultimate goal of understanding the connections between secondary teachers' mathematical knowledge for teaching and secondary students' mathematical understanding and achievement.

The American Museum of Natural History in New York City, in partnership with New York University, and in collaboration with five high-needs schools, is developing, implementing, and researching a five-year pilot Master of Arts in Teaching (MAT) program in Earth Science. The program is delivered by the Museum's scientific and education teams and its evaluation covers aspects of the program from recruitment to first year of teaching.

This project will study the activities of a Networked Improvement Community (NIC) as a vehicle to bridge gaps across four identified steps along the science teacher training and development pathways within local contexts of 8 participating universities. The overarching goal of the project is to strengthen the capacity of universities and school districts to reliably produce teachers of science who are knowledgeable about and can effectively enact the Next Generation Science Standards (NGSS), although prepared in varied organizational contexts.

The Framework for K-12 Science Education has set forth an ambitious vision for science learning by integrating disciplinary science ideas, scientific and engineering practices, and crosscutting concepts, so that students could develop competence to meet the STEM challenges of the 21st century. Achieving this vision requires transformation of assessment practices from relying on multiple-choice items to performance-based knowledge-in-use tasks. However, these performance-based constructed-response items often prohibit timely feedback, which, in turn, has hindered science teachers from using these assessments. Artificial Intelligence (AI) has demonstrated great potential to meet this assessment challenge. To tackle this challenge, experts in assessment, AI, and science education will gather for a two-day conference at University of Georgia to generate knowledge of integrating AI in science assessment.

This project will examine how partnerships among state science leaders, education researchers and education practitioners cultivate vertical coherence and equity in state science education.

This project will synthesize existing literature on modeling-based instruction (MBI) in K-12 science education over the last three decades. It will rigorously code and examine the literature to conceptualize the landscape of the theoretical frameworks of MBI approaches, identify the effective design features of modeling-based learning environments with an emphasis on technology-enhanced ones, and identify the most effective MBI practices that are associated with successful student learning through a meta-analysis.

Today’s schools are experiencing increasing cultural and linguistic diversity and facing the challenge of creating meaningful connections between school science and student lived experiences outside of school. Middle school is a critical time to provide fundamental knowledge and encourage interest in STEM careers. In order to best impact learners during this critical period, science teachers need improved models to support the development and delivery of relevant curriculum materials to better serve all students in their classrooms. Highly supported design teams consisting of researchers, teachers, and both school and district science specialists will co-adapt existing district-generated science units to integrate socially and culturally relevant science practices and draw on students' diverse cultural and language practices as strengths.

The Elementary Mathematical Writing (EMW) Task Force was made up of educators with unique perspectives about elementary mathematical writing and with the goal to reach a consensus about and priorities for the types of and purposes for elementary mathematical writing. The EMW Task Force met in October 2015, analyzed elementary writing prompts and samples, standards documents, and recommendations, and identified four types of mathematical writing and their associated purposes: Exploratory, Informative/Explanatory, Argumentative, and Mathematically Creative.

This project brings together education researchers, high school science teachers, research scientists, and community-based organizations as co-design teams to modify science curriculum materials to be justice- and community-oriented. Building on existing partnerships between education researchers and 11 science teachers in two districts in Illinois, project teams will engage in cycles of curriculum analysis and adaptation over the course of 3 years. These professional learning cycles will develop pedagogically relevant content expertise, such as deepened understanding of locally relevant science phenomena, as well as infrastructure for community-engaged science instruction.