Projects

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 comprehensive systematic review and meta-analysis synthesizes evidence surrounding math and science remote education programs from the past 15 years. The goal is to understand the effectiveness of math and science remote education programs; how their effectiveness varies by program characteristics (e.g., fully online vs. hybrid, synchronous vs. asynchronous, and student-instructor ratio); and whether their effects vary with student sample characteristics.

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.

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.

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.

This project builds on prior efforts with learning progressions, and is focused on key carbon-transforming processes in socio-ecological systems at multiple scales, including cellular and organismal metabolism, ecosystem energetics and carbon cycling, carbon sequestration, and combustion of fossil fuels. The primary project outcomes will be coordinated instructional tools that are useful to professionals at all levels in the science education system--classroom teachers, professional developers, and developers of curricula, standards and assessments.

This workshop developed a new, comprehensive, research-based framework for assessing environmental literacy. By bringing together, for the first time, experts in research, assessment, and evaluation from the fields of science education, environmental education, and related social science fields, this project accessed and built its work on the literature and the insights of many disciplines.