High School

The need for mathematical modeling is vital in answering critical questions like disease spread and climate change, but beginners lack the necessary skills to plan, organize, and execute such tasks. Also, current tools are insufficient for optimal learning. To address these issues, we're developing a web-based technology (M2Studio) and a 10.5-hour curriculum to introduce students to mathematical modeling using dynamically linked representations. This three-year project aims to enhance students' modeling skills and understanding.

Project goals are 1) to map and synthesize the research literature on computer supported collaborative learning (CSCL), 2) identify topics relevant to K12 practitioners for use in practice and determine if new research is needed to create more usable knowledge, and 3) create materials with researchers and practitioners working together. In the three phases of the project, we use a diversity, equity, and inclusion lens. In this poster we discuss findings from Phase 1.

The Advancing Coherent and Equitable Systems of Science Education (ACESSE, or “access”) project brings together partners from educational research and practice to promote equity and coherence in systems of science education. It involves a deep collaboration between the Council of State Science Supervisors (CSSS), the University of Washington, and the University of Colorado Boulder. Strategies and resources from this project are being shared around the country through networks of science education leaders. See https://stemteachingtools.org/

NLP-TIPS takes advantage of natural language processing (NLP) methods to detect students’ ideas in written science explanations. We design adaptive guidance that supports each student to consider their own ideas and pursue deeper understanding of phenomena. This work continues a successful partnership between University of California, Berkeley, Educational Testing Service (ETS), and science teachers from schools enrolling students from diverse racial, ethnic, and linguistic groups whose cultural experiences may be neglected in science instruction.

Socioscientific Issues (SSI) are ill-defined problems and debatable issues that can enhance student learning of scientific knowledge and literacy skills (Zeidler et al., 2005). However, most teachers are unfamiliar with planning and implementation of SSI (Macalalag et. al, 2019). Our project aimed to support the development of teachers’ pedagogical content knowledge through planning and implementation of SSI lessons in their classrooms.

The purpose of this project is to gather, analyze, and synthesize research studies that have investigated different approaches to supporting students in grades 6-14 in learning to analyze, interpret, and reason about data with a focus on variation and covariation. We will use Robust Variance Estimation (RVE) to examine how effect size estimates depend on intervention characteristics, study design, outcomes of interest, and demographic characteristics of participants in the studies.

STRIDES supports science teachers to rapidly respond to the diverse students in their classrooms. Leveraging advances in natural language processing, the project analyzes student written explanations of scientific phenomena to provide fine-grained summaries to teachers about student knowledge integration across NGSS dimensions. STRIDES suggests learning science-based customizations and studies how teachers use the summaries and customization suggestions to improve student progress. The researchers study how well the customizations address the learning needs of diverse students.

The LaCuKnoS project promotes a justice-centered approach to broadening participation in STEM by engaging teachers, students and families across Oregon in work to support language development for science meaning making, mapping cultural and community connections to science, and building knowledge for informed decision making.

This project seeks to support students to creatively combine science, engineering and social or community knowledge to address Earth Science problems in their local communities. Through a collaborative project based learning platform with built in scaffolding and an AI design mentor, students will engage in front-end design practices to understand and frame problems and explore solutions. We examine how this impacts science conceptual knowledge, design skills and creativity for middle and high school students.

This project is developing and testing a high school climate change unit and professional learning experience in which teachers localize part of the unit to make it relevant to their students and community context. The study is using a cohort-control quasi-experimental design to examine the impact of the unit and professional learning experience on dimensions of teacher practice and students' sense of agency with environmental science.