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By taking a responsive approach to the design and enactment of teacher professional development (PD), PD instruction can be tailored to teachers’ needs, interests, and concerns. This is of considerable importance in the high school physics teacher PD space, wherein teacher needs turn out to be particularly complex and diverse due to differences in teacher preparation within the discipline. More generally, understanding the degree to which PD programs are responsive to their teachers’ needs can support increased responsiveness. To this end, having a validated survey can assist in measuring the criteria for this responsiveness. This study presents the initial development of a responsive professional development (RPD) survey based on interviews with 13 high school physics teachers. Nine responsive codes were identified through thematic analysis of teacher interviews, and the resulting survey has been administered to 33 teachers for piloting purposes. In this work, the initial survey development process is presented. 

An understanding of vectors and vector operations is crucial for success in physics, as this serves as the foundation for various essential concepts, including motion and forces. Previous research indicates that only a fraction of introductory physics students have a usable knowledge of vectors and vector operations, and that more attention should be given to how students make sense of vectors. We examined classroom video data from an introductory physics course wherein students worked collaboratively through learning activities to introduce vectors and vector operations. During these activities, students’ employment of gesture as a representational mode facilitated group sense-making. We propose a preliminary taxonomy of gestures for representing vector magnitudes, directions, and initial and terminal points. By identifying and characterizing the gestures used by students, we can gain insights into their learning processes and conceptual understanding of vectors, which can inform instructional design and teaching practices. 

Data modeling and graphing skill sets are foundational to science learning and careers, yet students regularly struggle to master these basic competencies. Further, although educational researchers have uncovered numerous approaches to support sense-making with mathematical models of motion, teachers sometimes struggle to enact them due to a variety of reasons, including limited time and materials for lab-based teaching opportunities and a lack of awareness of student learning difficulties. In this paper, we introduce a free smartphone application that uses LiDAR data to support motion-based physics learning with an emphasis on graphing and mathematical modeling. We tested the embodied technology, called LiDAR Motion, with 106 students in a non-major, undergraduate physics classroom at a mid-sized, private university on the U.S. East Coast. In identical learning assessments issued both before and after the study, students working with LiDAR Motion improved their scores by a more significant margin than those using standard issue sonic rangers. Further, per a voluntary survey, students who used both technologies expressed a preference for LiDAR Motion. This mobile application holds potential for improving student learning in the classroom, at home, and in alternative learning environments.