Understanding Pre-service and Elementary Teacher Assets and Developing Tools to Support Computer Science Integration

This three paper dissertation identifies methods to support teacher learning in computer science through survey design, equitable access, and tool design. The first paper provides results from confirmatory factor analysis on a survey instrument that helps identify pre-service teacher self-efficacy learning computer science in a teacher education course. The second paper focuses on identifying assets from Black, female teachers in a researcher-practitioner partnership professional learning setting surrounding computer science using the community cultural wealth framework. The third paper builds on the work from the previous papers and outlines the design of a low-cost, open-source, multilingual robotics platform using the educational robotics application framework and participatory design research methods.