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.
Projects
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.
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.
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.
This project will examine how partnerships among state science leaders, education researchers and education practitioners cultivate vertical coherence and equity in state science education.
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 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 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 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.
Partnership development between universities and school districts requires an understanding that each organization has a distinct institutional point of view that must be considered in defining and shaping collaborative work. The goals and objectives of each organization may not always align, and at times may compete or conflict with each other. With the understanding that successful partnerships are those where practitioners and researchers achieve high levels of trust, commitment, transparency, interdependence, and mutual benefit, this project centers on building a partnership between a university that serves a largely Hispanic student population and a rural school district that also serves a community that has long been underrepresented in STEM education and career opportunities. The partners will jointly focus on how to respond to three negative impacts of the COVID-19 pandemic: 1) limited access to quality learning opportunities, 2) increased student learning gaps in STEM subjects, and 3) a local teacher shortage.
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 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.
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 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.
Environmental issues like wildfires can serve as effective science learning contexts to promote scientific literacy and citizenship. This project will partner with teachers, teacher educators, and disciplinary experts in data science, fire ecology, public health, and environmental communication to co-design a data-driven, justice-oriented, and issue-based unit on wildfires. In the unit, student will engage in various data practices to gain insights into the issue of wildfires and how it affects their lives and communities. The project seeks to theorize how learners can leverage disciplinary knowledge and practices in environmental and data science as a foundation for making data-informed actions towards a more just and sustainable society.
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 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.
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 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.
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 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 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 aims to engage students in meaningful scientific data collection, analysis, visualization, modeling, and interpretation. It targets grades 9-12 science instruction. The proposed research poses the question "How do learners conceive of and interact with empirical data, particularly when it has a hierarchical structure in which parameters and results are at one level and raw data at another?"
CISIP is a professional development program that enables English and science teachers to help students to learn content and communicate scientifically. The CISIP program: Translates How Students Learn Science in the Classroom and Common Core State Standards for student success; targets learning within a classroom discourse community that focuses on argumentation; and takes a team of science and English teachers at schools from middle level through university who collaborate.
The goal of this project is to study how the integration of an online curriculum, scientist mentoring of students, and professional development for both teachers and scientist mentors can improve student outcomes. In this project, teachers and scientist mentors will engage collaboratively in a professional development module which focuses on photosynthesis and cellular respiration and is an example of a student-teacher-scientist partnership. Teachers will use their training to teach the curriculum to their students with students receiving mentoring from the scientists through an online platform. Evaluation will examine whether this curriculum, professional development, and mentoring by scientists will improve student achievement on science content and attitudes toward scientists. The project will use mixed-methods approaches to explore potential factors underlying efficacy differences between in-person and online professional development. An important component of this project is comparing in-person professional development to an online delivery of professional development, which can be more cost-effective and accessible by teachers, especially those in rural and underserved areas.