This repo contains Jupyter Notebooks for analyzing anonymized data collected during a study on inquiry learning. Students in a first-year physics course were given multiple inquiry activities where they had to uncover a rule for a certain physics topic (before any lecture material on the subject). There were two different sorts of inquiry activities depending on which condition students were in:
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SIM: Students explore an interactive simulation to generate contrasting observations that they then use to create their rule.
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DATA: Students were provided with a curated set of observations that they then compared and contrasted to create their rule.