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Standard webmetrics tools record the IP address of users’ computers, thereby providing fodder for analyses of their geographical location, and for understanding the impact of e-learning and teaching. Here we describe how two web-based educational systems were engineered to collect geo-referenced data. This is followed by a description of joining these data with demographic and educational datasets for the United States, and mapping different datasets using geographic information system (GIS) techniques to visually display their relationships. Results from statistical analyses of these relationships that highlight areas of significance are given.


Poster presented at the 3rd International Conference on Educational Data Mining in Pittsburgh, PA. A short paper associated with the poster was also completed.

Additional Files

edm2010_submission_32.pdf (112 kB)
Poster abstract/paper



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