The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
The Walden’s Paths project is developing tools for leveraging student learning with the incredible amount of educational material on the Web. Specialized templates based on esta...
Sarah Davis, Paul Logasa Bogen II, Lauren Cifuente...
In this paper we examine the relationship between emergent social network characteristics in a computer-supported collaborative learning course and locus of control. An emergent c...
Michael Stefanone, Jeffrey T. Hancock, Geri Gay, A...