Design, analysis, tools, and apprenticeship (DATA) Lab

Abstract

Recently in the United States, there have been several national calls to emphasise physics practices and skills within laboratory courses. In this paper, we describe the redesign and implementation of a two-course sequence of algebra-based physics laboratories at Michigan State University called the design, analysis, tools and apprenticeship (DATA) lab. The large-scale course transformation removes physics-specific content from the overall learning goals of the course and, instead, uses physics concepts to focus on specific laboratory practices and research skills that students can take into their future careers. Students in the DATA Lab engage in the exploration of physical systems to increase their understanding of experimental process, data analysis, collaboration, and scientific communication. In order to ensure our students are making progress toward the skills outlined in the course learning goals, we designed all of the assessments in the courses to evaluate their progress specific to these laboratory practices. Here, we will describe the structures, scaffolds, goals, and assessments of the course.