This article introduces a process for computational text classification that can be used in a variety of qualitative research and evaluation settings. The process leverages supervised machine learning based on an implementation of a multinomial Bayesian classifier. Applied to a community of inquiry framework, the algorithm was used to identify…

This article addresses economically disadvantaged minority girls' knowledge and perceptions of science and engineering and the influence of their experiences with science, technology, engineering, and mathematics (STEM) on their choices for future careers. We interviewed three girls who participated in a 4-H-led gender-inclusive STEM program. Our…

Learn more about a promising follow-up, participatory group process designed to document the results of Extension educational efforts within complex, real-life settings. The method, known as Ripple Effect Mapping, uses elements of Appreciative Inquiry, mind mapping, and qualitative data analysis to engage program participants and other community…

This article reports on a qualitative study to assess Texas Family Consumer Science (FCS) Extension professionals' experiences working with individuals with disabilities and their perceived skills in promoting and delivering inclusive educational programming for this audience. Study results indicate that overall Extension educators viewed…