Building Base Line Objectives for Children’s Knowledge Skills for Science (BLOCKS)is a 4-year project that integrates research and applied teaching to take a close look inside prekindergarten classrooms. The overall research project includes extensive classroom observation by teachers and researchers of children’s ability to learn science processes and content; intensive professional development and mentoring support for teachers to learn science; and multiple qualitative, as well as, quantitative assessment strategies.
Projects
This project addresses a critical need to help middle school teachers learn to incorporate data science in their teaching. It uses an open-source platform called the Common Online Data Analysis Platform (CODAP) as a tool for teachers to learn about data science and develop resources for students’ learning. The project team will develop a framework for teachers’ knowledge of data science teaching and learning. Insights from the project will help develop effective practices for teaching data science and understanding how students learn data science.
This project builds capacity for middle school teachers to enact and adapt integrated STEM curriculum units with their students. The units will focus on biomimicry—examining structures and functions found in nature and applying these to solve human problems, which combines science, engineering, and technology. The project enables teachers to design activities that are personally authentic to their students by supporting teachers to examine their students' assets, needs, and interests and center these during unit design.
This proposal will develop and test an open-access, online system of professional development for high school biology teachers in order to build pedagogical competencies for teaching about complex systems and to support the application of those competencies in high school biology classrooms.
This project is developing a system for producing automated professional mentoring while students play computer games based on STEM professions. The project explores a specific hypothesis about STEM mentoring: A sociocultural model as the basis of an automated tutoring system can provide a computational model of participation in a community of practice, which produces effective professional feedback from nonplayercharacters in a STEM learning game.
This project is designed to enhance an existing interdisciplinary high school science curriculum—Astrobiology in the Secondary Classroom (ASC)—in an innovative way and conduct research to determine the effectiveness of these materials in three different underrepresented student populations—African Americans, Hispanics, and Native Americas—experiencing an achievement gap in STEM areas at five sites. Improvements will focus on program alignment and increased use of data sets made available by research scientists.
This project addresses middle school students’ learning of science through the improvement of their inquiry science skills. The main goal is to develop a rigorous, technology-based assessment system for standards-aligned assessment of inquiry skills in six physical science content areas (i.e., Properties of Matter; Elements, Compounds, and Mixtures; Motion of Objects; Forms of Energy; and Heat Energy). Assessments are aligned with the Massachusetts Curricular Framework and National Science Education Standards.
This project seeks to advance knowledge in K-12 STEM education and assessment practices by building capacity for Assessment for Learning, improving assessments and teacher preparation courses, and providing models for pre-service teacher preparation through enhanced teaching modules. Three goals are: (1) faculty from three centers form a learning community, (2) recruit 5 STEM research scholars to conduct research on measurement and evaluation, and (3) expose pre-service teachers to assessment models in their coursework.
The mayor of Birmingham is making a two year loan of XO laptops to middle school students in the Birmingham City Schools in Alabama. The educational and social changes that will occur in classrooms and the effects on several student outcomes are studied in this Small Grant for Exploratory Research. It is expected that access to technology will change the educational and social environment in classrooms and affect student outcomes.
The goal of this project is to develop learning progressions and assessment items targeting computational thinking. The items will be used for a test of college-ready critical reasoning skills and will be integrated into an existing online assessment system, the Berkeley Assessment System Software.
Through the integration of STEM content and literacy, this project will study the ways teachers implement project practices integrating literacy activities into STEM learning. Teachers will facilitate instruction using scenarios that present students with everyday, STEM-related issues, presented as scenarios, that they read and write about. After reading and engaging with math and science content, students will write a source-based argument in which they state a claim, support the claim with evidence from the texts, and explain the multiple perspectives on the issue.
The overriding goal of this project is to strengthen the “T” and “E” components of STEM in high school courses taken by a majority of students. Our hypothesis is that increasing the presence of engineering and technological design at the high school level, specifically by incorporating engineering activities in high school biology and chemistry classes, will improve students’ understanding of science concepts and strengthen students’ 21st century skills more than traditional methods.
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.
The project team will conduct an efficacy study of a new comprehensive science curriculum for middle grades 6-8 called Amplify Science Middle School (ASMS). This school science curriculum integrates disciplinary core ideas, science and engineering practices, and crosscutting concepts. The overarching aim of the study will be to understand the impact of the curriculum on student achievement, classroom implementation, and teacher practice in relation to the recommendations of "A Framework for K-12 Science Education" and the Next Generation of Science Standards.
This project will develop a technology platform that can streamline lesson planning and allow teachers to adapt resources to their students' needs. The project will design and investigate an AI-powered lesson plan tool for middle-grades mathematics teaching called Colleague. Using existing, open-access lesson plans that have been vetted in prior work, the project would refine the tool for generating math lesson plans and supporting teachers to iteratively improve their instruction. Streamlining lesson planning would open more time for teacher creativity and reduce job stress. The study would explore how teachers use Colleague to plan and adapt lessons, the influence on teaching, and the students' learning.
This project supports up to eight fellows per year to participate in the Albert Einstein Distinguished Educator Fellows Program. This program provides opportunities for teachers to work on educational issues and/or programs in a federal agency or congressional office. It promotes professional growth; fosters the exchange of ideas that are relevant to STEM education at the national and state levels through conferences, workshops, and presentations; provides opportunities for teachers' input; and awards outstanding teachers.
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.
In the 21st century, the educational landscape is undergoing a seismic shift, with Artificial Intelligence (AI) emerging as a pivotal force reshaping the contours of teaching and learning, especially in the realm of science education. As educators, policymakers, and researchers grapple with the challenges and opportunities presented by this technological juggernaut, this project underscores the imperative to weave AI's transformative potential seamlessly with the foundational principles of Diversity, Equity, and Inclusion (DEI). The vision driving this initiative is twofold: harnessing the unparalleled capabilities of AI to revolutionize educational experiences while ensuring that these innovations are accessible, relevant, and beneficial to every student, irrespective of their background or circumstances.
Despite the importance of addressing climate change, existing K-12 curricula struggle to make the urgency of the situation personally relevant to students. This project seeks to address this challenge in climate change education by making the abstract, global, and seemingly intractable problem of climate change concrete, local, and actionable for young people. The goal of this project is to develop and test actLocal, an online platform for K–12 teachers, students, and the public to easily create localized climate change adaptation simulations for any location in the contiguous United States. These simulations will enable high school students and others to implement and evaluate strategies to address the impacts of climate change in their own communities.
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.
The purpose of this project is to develop and refine an innovative Google-platform based application called CORGI for use with middle school students in physical, life, and earth science classrooms. The new version, CORGI_2, will include supports for content learning and higher order thinking and will pair with the cloud-based applications of the Google environment to offer multiple means of representation, response and engagement as well as videos, models, supports for decoding, and supports for background knowledge.
This project convenes K-12 teachers working with underrepresented populations of students at the 2009 Grace Hopper Celebration and produces a workshop and white paper designed to (1) instigate discussion of equity and computer science curricula; (2) create knowledge sharing opportunities on concrete solutions grounded in teachers’ articulated needs; (3) disseminate these solutions to a broad audience of teachers, STEM practitioners, and interested stakeholders; and (4) evaluate the effectiveness of these solutions in classrooms.
This project is developing technology-rich science curriculum exemplars for grades 3-6 based on Universal Design for Learning (UDL) principles. The project is testing the effectiveness of the approach and providing an exemplar that can inspire additional content and further development. A set of professional development materials to support teacher implementation of UDL science curriculum in the classroom is planned. Probes are used for lab investigations and computational models are used for experimentation in virtual environments.
This project seeks to find ways to make the measurement sciences more useful to the production of intellective competence in diverse students of the STEM disciplines. A Study Group on Diversity, Equity and Excellence in Achievement and Assessment in STEM Education will be established to address a set of issues posed as critical to the future of assessment for education and will undertake a series of activities culminating in the production of a report.
Semiconductors are essential components of electronic devices, enabling advances in important applications and systems such as communication, healthcare, and national security. In order to sustain the U.S.'s global competitiveness in the semiconductor industry, there is a growing demand for a skilled semiconductor workforce. High schoolers are among the most frequent users of electronic devices. However, many do not know how these devices are designed and manufactured. To address the knowledge gaps and workforce needs equitably, this project will develop a semiconductor curriculum with high-school-aged students from diverse backgrounds, and with partners in higher education, K-12, and industries, enhanced with artificial intelligence (AI) and other innovative technologies.