The project uses a comparative research design and will generate evidence that is descriptive [case study, observational, Beliefs and Efficacy Surveys] and associative/correlational [analytic essay, quasi-experimental]. We are piloting our research method with a data set that the PI collected for a different research project. Original data are being collected on adolescent girls of color and sixth grade students of varying ethnic identities using observation [personal observation, videography, Web logs] and survey research [self-completion questionnaire, structured interviewer-administered questionnaire]. The intervention being tested is a robotics workshop.
Instruments or measures being used include beliefs and efficacy surveys related to girls and technology. We will collect video data and, through computational means, identify the heuristic strategies, invented algorithms, conditional reasoning and other collaborative problem solving techniques used by students to solve the robotics challenges. We will also collect screen shots of their evolving robotics programs, which will be analyzed in terms of computer science conceptual understanding. We will use our micorgenetic learning analytic approach to analyze the data, including text and sentiment analyses. We will correlate these findings with responses on the beliefs and efficacy surveys.