Where in the World? Demographic Patterns in Access Data

As learning environments become increasingly available online, the fine-grained records of user activities can be captured and analyzed (generally called webmetrics) to better understand the characteristics of teachers and learners. The purpose of this paper is three-fold. First, we describe how two web-based educational systems were engineered to collect webmetrics. This is followed by a description of our methods for collecting geo-referenced data, joining these data with demographic and educational datasets for the United States, and mapping these using geographic information system (GIS) techniques to visually display relationships. We conclude with results from statistical analyses of these relationships that highlight areas of significance.

• Type: Conference
• Year: 2010
• Where: EDM
• Authors: Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard
• Keywords: Data Mining, EDM 2010, Fine-grained Records, User Activities, Web-based Educational Systems