Incorporating Professional Science Writing into High School STEM Research Projects

This study provides evidence on the confluence of school, classroom, teacher, and student inputs that shape elementary school science learning for English learners. The study explores the relationship between (1) science inputs (time on science, content covered, availability of lab resources, teacher training in science instruction, etc.), and (2) EL-specific inputs (classroom language use, EL instructional models, teacher certification/training, availability of EL support staff, etc.) for a nationally representative set of kindergarten through fifth graders.
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.
The goal of the design and development study, Proof in Secondary Classrooms (PISC), is to develop an innovative intervention to support the teaching and learning of mathematical proof in secondary geometry. PISC made use of features of lesson study and continuous improvement. Findings featured in the poster involve quantitative assessment results from pre-tests and post-tests administered over three years. Overall, the PISC curriculum had a statistically significant, positive impact on students' end-of-year results.
The main issue our project addresses is how students' reasoning about mathematics concepts that are not new to them (e.g., linear functions) changes when learning about a new concept (e.g., quadratic functions), and we call this phenomenon backward transfer. We specifically focus on mathematics, but believe our backward transfer research is highly relevant within and across STEM content domains more broadly.
Young Mathematicians (YM) is a design and development project that aims to broaden participation by addressing the need to provide young children with early mathematics experiences. In the coming year, we will test an intervention, developed in collaboration with teachers and families, that provides learning experiences and materials for teachers and families to support adult-child interaction and engagement in mathematics, promote school-home connections in mathematics, and address adult attitudes toward mathematics, while promoting childrens mathematical knowledge.
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.
Biologically-inspired design (BID) is a way of using principles from Nature to solve engineering design challenges. It is engaging, novel, and leverages sustainable technology produced by over 3 billion years of adaptation.