An agent-based methodology for analyzing and visualizing educational assessment data
Elizabeth I Sklar, Jordan Salvit, Christopher Camacho, William Liu · 2007
We examine data collected from on-line assessments of the numeracy and literacy skills of young students in order to construct probabilistic agent-based controllers. We demonstrate the value of this methodology as an effective means for both analyzing and visualizing aspects of large data sets that are difficult to capture with traditional equation-based statistics and static graphics.