%0 Journal Article
%T Learning Ability Clustering in Collaborative Learning
%A Wen-Chih Chang
%A Te-Hua Wang
%A Mao-Fan Li
%J Journal of Software
%D 2010
%I Academy Publisher
%R 10.4304/jsw.5.12.1363-1370
%X Collaborative learning promotes learning motivation which encourages the active participation and leads to good learning performance. In most cases, good grade is usually a good indicator of good learner. Teachers might classify learners into various groups according to their grade. As a result, learners with poor grades are easily depressed and self-distrust. In this paper, we integrate K-means clustering method and IRT forecasting process to solve the grouping issue in collaborative learning. With a better grouping solution, teachers then can adjust the learning materials adaptively and teach students according to the learning aptitude.
%K Learning ability
%K Item Response Theory
%K K-means
%K Collaborative Learning
%U http://ojs.academypublisher.com/index.php/jsw/article/view/3712