Rebecca Williams receives Learning Analytics Fellowship for work on data visualization Addressing persistent misconceptions in data visualization

CSEE Assistant Professor Rebecca WIlliams was selected to receive a  Learning Analytics Fellowship for the 2024-25 academic year funded by the UMBC Provost’s office. The program supports faculty and staff for research on and development of effective data-informed teaching and learning practices.

Her project builds on her previous work on course interventions to address persistent student misconceptions in data visualization. These misconceptions include the belief that simple, easy-to-read charts are always effective and the assumption that data visualizations are entirely objective. Williams’ continued interventions involve having students search for, annotate, and critique a broader array of visualization examples, supplementing those provided by the instructor. Additionally, the project will incorporate more rigorous qualitative analysis using the Taguette data analysis tool, collect richer demographic data, and analyze the temporal progression of student-created graphs. By expanding these efforts, students are more likely to deepen their critical analysis skills, improve their visual literacy, and retain these competencies in the long term.
UMBC Center for AI
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