Surveillance video recording is becoming ubiquitous in daily life for public areas such as supermarkets, banks, and airports. The rate at which surveillance video is being generated has accelerated demand for machine understanding to enable better content-based search capabilities. Analyzing human activity is one of the key tasks to understand and…

In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…

Addressed to institutional researchers, this report from California's Chabot College presents information on National Center for Education Statistics (NCES) data sets. Included is a discussion on how these data sets can be used to create peer groups of U.S. colleges, and to produce statistics on major student variables for each of these groups.…