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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.
Journal of Educational Data Mining issue 1(1) is now online.
For information on submitting to JEDM, please click here.
The Third Annual Conference on Educational Data Mining will be held June 11-13, 2010, in Pittsburgh, PA, USA.
Proceedings are now available online from the Second Annual Conference on Educational Data Mining
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