Home   Events   Proceedings   Papers   Resources   Contact  Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in. Whether educational data is taken from students' use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties in the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data. Our aim is to support collaboration and scientific development in this new discipline, through the organization of workshops and mailing lists, as well as the development of community resources to support the sharing of data and techniques. We are pleased to announce the First Annual Conference on Educational Data Mining! Join our mailing lists!