Abstract:
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Johns Hopkins is the first research university in the United States. Surprisingly, the biostatistics curriculum for undergraduates at Hopkins, and other schools across the country, does not reflect a research-oriented education. Biostatistics courses tend to consist of lecture-based instruction and assessments that have predefined goals and utilize clean, complete data. As a result, when students need to perform data analysis in their research, they are unprepared for the challenges of data analysis beyond fitting a statistical model. Therefore, we designed a data analysis course for undergraduates that focuses on the entire process of data analysis, from formulating a research question to synthesizing the results. The course utilizes individual and collaborative active learning techniques, such as in-course implementation of aspects of data analysis, to mimic the research process and facilitate student-oriented learning to promote a deep knowledge of data analysis that students can use in their future careers. The course culminates with a research paper and presentation based on their own data analysis and an evaluation of an existing data analysis project.
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