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The ability to analyze, interpret, and draw insights from data is quickly becoming a necessary skill for success across multiple disciplines and careers. However, people struggle to make meaning from data, and traditional data-science curriculum falls short of emphasizing its relevance to underrepresented students. To create opportunities for meaningful applications of data-science for diverse students, we developed and implemented an online learning module focused on engaging N=298 undergraduate students at an HSI in an analysis of place-based soil data. Using a pretest-posttest study design, we found that student’s perceptions of data-science relevance and microbiology knowledge improved. We also inductively coded qualitative survey responses and used automated text analysis to explore how students framed “relevance” and how perceptions changed.
Ian Thacker, University of Texas - San Antonio
Rebecca Schroeder, University of Texas - San Antonio
Sara Shields-Menard, University of Texas - San Antonio
Mariah Hopkins, University of Texas - San Antonio
Sandrina Ramirez, University of Texas - San Antonio
Corina Lopez, University of Texas - San Antonio
Tanvir Alam, University of Texas - San Antonio