This project will investigate how NGSS has been implemented in California schools during the ongoing COVID-19 pandemic. Through a state-wide survey, analysis of administrative data, interviews and case studies, this project will assess the impact of COVID-19 on NGSS implementation on a large scale, and more importantly, the extent to which high minority, high-poverty districts are disproportionately affected. It will also identify policy options available to state and school districts. By collecting critical and timely data, this project will contribute new knowledge to understanding of the impact of COVID-19 on NGSS implementation.
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 considers how teachers’ engagement in scientific sensemaking as an opportunity for teachers’ learning to support more expansive science learning environments. It seeks to address two ongoing challenges in science teacher education: the need for teachers to learn (1) to recognize, value, and integrate students’ diverse ways of knowing, communicating, and relating with one another and phenomena and (2) to acknowledge and disrupt restrictive narratives that shape what counts as science in schools and who is seen as a scientist. This project will provide new models for science teacher education to engage teachers in expansive scientific sensemaking, seeking to develop more humanizing relationships between teachers, students, and science. More broadly, the project will produce a new structure for professional learning and resources for supporting more heterogeneous and equitable forms of science in teacher education.
This project is developing, validating, and evaluating computer modeling-based formative assessments to improve student learning in chemistry. Activities include developing a series of computer models related to key topics in high school chemistry, developing questions to probe student understanding of matter and energy, identifying teaching and learning resources appropriate for different levels of student conceptual understanding, and developing professional development resources on integrating formative assessments into high school chemistry courses.
This project will develop and test a web-based platform to increase the quality of teacher-administered tests in science classrooms. It draws on classroom teacher knowledge while employing the rigorous statistical methods used in standardized assessment creation and validation. The content focus is on the disciplinary core ideas for grades 6-8 physical science in the Next Generation Science Standards (NGSS).
This project uses neural and behavioral measures of learning as a basis for making improvements to an immersive high school course that trains students in flexible spatial cognition and data analysis. Tracking students into college, the project measures long-term effects of improved spatial cognition resulting from the modified geospatial course curriculum.
This project will design instructional assessment materials by using an innovative and unique design approach that brings together the coherent and systematic design elements of evidence-centered design, an equity and inclusion framework for the design of science materials, and inclusive design principles for language-diverse learners. Using this three-pronged approach, this project will develop a suite of NGSS aligned formative assessment tasks for first-grade science and a set of instructional materials to support teachers as they administer the formative assessments to students with diverse language skills and capacities.
This project represents a new approach to quality assessment of K-12 science and engineering learning experiences. By updating and expanding the Dimensions of Success (DoS) observation tool initially established for informal science learning settings to middle school science and engineering classrooms (DoS-MSSE), the project will create and implement a sustainable and scalable system of support for teachers who are learning how to implement the Next Generation Science Standards (NGSS) Framework for K-12 effectively and equitably.
The project focuses on the development of formative assessment tools that highlight assets of students’ use of crosscutting concepts (CCCs) while engaged in science and engineering practices in grades 9-12 Life Sciences.
Data Nuggets (http://datanuggets.org) are classroom activities, co-designed by scientists and teachers, which give students practice interpreting quantitative information and making claims based on evidence. The goal of this research is to investigate whether the integration of real data from cutting-edge scientific research in grade 6-10 classrooms will increase students’ quantitative reasoning ability in the context of science.