High School

The Spectrum Laboratory is an online data visualization tool and associated set of investigations that supports students in learning about light, color, and the electromagnetic spectrum by working with authentic scientific spectral data. The research study investigates factors that hinder or promote students' reasoning about spectra; and to determine how the curriculum can help students to use spectra to explore interesting questions about the world while gaining fluency with a range of important science practices.

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.

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.