This project will focus on learning about model based reasoning in science, and will develop, implement, study, and refine a 6-week climate science module for high school students. The module will feature use of a web-based climate modeling application, and the project team will collect and analyze evidence of model-based reasoning about climate phenomena among students.
This project will research, design, and develop adaptive accessibility features for interactive science simulations. The proposed research will lay the foundation that advances the accessibility of complex interactives for learning and contribute to solutions to address the significant disparity in science achievement between students with and without disabilities.
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.
This project will study the impact and effect of the use of induction for first year middle grades mathematics teachers in three districts in Tennessee and Kentucky, including rural and urban settings. The purpose of this project is to study the links of components of induction to improved instruction and student achievement.
This project seeks to understand how children learn about place value by studying different representations of multi-digit numbers (written number symbols, heard number names) and how prior knowledge of number influences children’s’ learning. Knowing more about multi-digit number learning will help to create teaching and curriculum resources that better support children’s learning.
This project seeks to understand how children learn about place value by studying different representations of multi-digit numbers (written number symbols, heard number names) and how prior knowledge of number influences children’s’ learning. Knowing more about multi-digit number learning will help to create teaching and curriculum resources that better support children’s learning.
This project will convene a panel of experts in government, industry and academia to raise and discuss emerging concerns for human subjects' protections in the digital age. This project will support scholarly discussion on human subjects' protections in the digital age with implications for funding agencies, schools, and those who work with human subjects in a variety of environments.
The conference will attract thought leaders, policy makers, supervisors of practice and scholars of measurement science to be informed of emerging thought and developments and to discuss selected models for the implementation of new ways of generating and utilizing data from education tests.
This project investigates the variation in teachers' practice of lesson study to identify effective and scalable design features of lesson study associated with student mathematics achievement growth in Florida. Lesson study is a teacher professional development model in which a group of teachers works collaboratively to plan a lesson, observe the lesson in a classroom with students, and analyze and discuss the student work and understanding in response to the lesson.
The goal of this Transforming STEM Learning project is to comprehensively describe models of 20 inclusive STEM high schools in five states (California, New Mexico, New York, Ohio, and Texas), measure the factors that affect their implementation; and examine the relationships between these, the model components, and a range of student outcomes. The project is grounded in theoretical frameworks and research related to learning conditions and fidelity of implementation.
This project seeks to identify teaching practices that can be linked to students' early algebra learning in grades three, four and five. The goal of the project is to use assessment data and videos of classroom teaching in order to create a tool that can be used to document effective instructional practices. This observation tool can then be used to support teacher professional development in early algebra and research about how teachers' actions can be linked to students' learning.
This project supports teachers in improving classroom discourse and reasoning by identifying key teaching strategies for building scientific concepts in successful discussions. It links these strategies together with the use of visual displays in classroom instruction with a particular emphasis on simulations. The teacher video-based workbooks that result from this study provide such a resource that is open-source and available to a larger population of teachers than just those in the project.
This project uses learning analytics and educational data mining methods to examine how elementary students learn in an online game designed to teach fractions using the splitting model. The project uses data to examine the following questions: 1) Is splitting an effective way to learn fractions?; 2) How do students learn by splitting?; 3) Are there common pathways students follow as they learn by splitting?; and 4) Are there optimal pathways for diverse learners?
This project explores how teachers can use activities with young children to develop their knowledge of numbers and patterns. Part of the study examines how much guidance teachers should provide to students. The project also explores the design of resources that are the most likely to be used by preschool teachers and that can be easily incorporated into their teaching of young children.
This conference is to develop a strategy for increasing the import of teaching Earth and Space Sciences in schools to make students ready for college and careers. The summit brings together key members of the Earth and Space Sciences (ESS) community to identify and devise ways in which they can work together to help states and school districts implement college and career readiness standards.
This is a four-year project that is producing materials designed to help teachers see how the mathematical practices described in the Common Core State Standards for mathematics can be implemented in mathematics instruction. The goal of the improved instruction is to help students adopt and value these critical mathematical practices.
This workshop addresses the need to connect a range of experts involved in game development and research to develop and disseminate best practices. The workshop will also establish a network hub where educators and developers can find tools for implementing game-based curricula. The project will bring together approximately 100 early contributors, including researchers, teachers, game designers and publishers, to inform the next phases of research, development, and production in the field of games and learning.
This project provides elementary teachers, grades 3-5 with a pedagogical framework and related resources for distinguishing quality science teaching. The study focuses on developing and testing a framework, the Quality Science Teaching Continuum (QSTC), to determine its capacity to serve as a potent formative and collaborative tool with which teachers can reflect on their science teaching practices and recognize student behaviors that are indicators of engagement and science learning.
The primary goal of this set of workshops is to provide STEM education researchers with the framework, skills, and community they need to implement new developments in causal inference methods into their research.
