Science

This study investigates the integration of early science with mathematics and engineering and involves co-designing resources with preschool teachers and families from historically underserved communities to provide preschool children equitable STEM learning experiences. The study also explores connections between home and school learning and involves designing resources to support multilingual learners, who represent a large (and growing) proportion of the population served in public preschool programs.

The Teacher Engineering Education Program is designed to support teacher learning in engineering education in an 18-month online asynchronous program. In this project, we collected data from two cohorts of elementary teachers (N=26) including multiple interviews throughout the program, teachers’ video recordings of their classroom teaching, and their coursework in the four required courses. This poster summarizes our central findings on teacher learning in the program, looking at teachers’ noticing and pedagogical sensemaking in engineering.

In this project, we developed, piloted, and studied the use of a set of performance-based tasks delivered within a simulated classroom environment in order to improve preservice elementary teachers' ability to facilitate argumentation-focused discussions in mathematics and science. We conceptualized these simulated discussions as formative assessment opportunities, and studied how teacher educators made use of them within methods courses to support preservice teachers' learning. We also examined evidence of preservice teacher learning via pre/post measures.

Our team works with high school chemistry teachers to co-develop a suite of curricular materials that engage students in making sense of chemical phenomena in terms of atomic/molecular behavior. This suite of materials undergoes a regular cycle of development and refinement, guided by teachers’ sense of “what works” when implementing the materials and observations of classroom discourse practices. Our work investigates how to best support teachers as they design learning environments to promote student sensemaking.

This study focuses on youth community action and science in our forests. We address questions about when and where youth cultivate their agency and create change relevant to their lives through environmental science. We explore these questions through a place-based and community-lead, forest monitoring program looking at forest health and fire risk in the wildfire prone Sierra Nevada foothills. This school-based program brings together 3rd through 5th grade teachers, students, local scientists and land managers.

This exploratory project supports the professional development of secondary STEM teachers by providing multiyear training around three specific areas: (1) environmental sciences themed content; (2) technology integration in the classroom, and (3) classroom-based action research within action research communities. Using virtual reality to focus on wetlands and their connection to flooding brings locally relevant STEM concepts in a real-world context that is relatable to minoritized teachers and students living in these areas.

In prior work, BSCS studied STeLLA, a video-based analysis-of-practice professional learning (PL) model and found that it enhanced elementary science teacher and student outcomes. But the face-to-face model is difficult to scale. We present the results of a two-year design-based research study to translate the face-to-face PL into a facilitated online experience. The purpose is to create an effective, flexible, and cost-efficient PL model that will reach a broader audience of teachers.

Co-PI(s): Gillian Roehrig, University of Minnesota

STRIDES supports teachers to customize the curriculum to address diverse students' evolving ideas and achieve the multi-dimensional proficiency called for by the Next Generation Science Standards (NGSS). STRIDES catalyzes a new approach to teachers' curriculum customization. STRIDES will improve the evidence teachers have to make customization decisions by collaborating with the Educational Testing Service (ETS) to advance natural language processing (NLP) methods.