A Clustering Algorithm of E-Learningers Based on Rough Set

Abstract:

The demand for individualized teaching from E-learning websites is rapidly increasing due to the huge differences existed among E-learning learners. A method for clustering E-learningers based on rough set is proposed. The basic idea of the method is to reduce the learning attributes prior to clustering, and therefore the clustering of E-learningers is carried out in a relative low-dimensional space. Using this method, the E-learning websites can arrange corresponding teaching content for different clusters of learners so that the learners individual requirements can be more satisfied.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3260-3264
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3260
• Online since: September 2013
• Authors: Yun Hua Wang, Hui Yan Ke
• Keywords: Clustering Algorithm, Concep, E-Learning, Individualized Teaching, Rough Set (RS)

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