Data Mining and Text Mining Technologies for Collaborative Learning in an ILMS "Samurai"

Authors:
Maomi Ueno
Affiliations:
Nagaoka University of Technology
Venue:
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Year:
2004

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Abstract

Recently, "collaborative learning" using internet has become popular in educational technology societies. One of unique advantages of the collaborative learning using internet is that much amount of learning process data concerned with their discussions can be stored. However, there are few studies about how to analyze the data and how to efficiently utilize it. It is an urgent task to consider how to utilize efficiently this much data concerned with collaborative learning. This paper introduces some new Data mining technologies and text mining technologies for collaborative learning through a ILMS (Intelligent Learning Management System) "Samurai" which the author has developed.