Asian Journal of Computer Science and Technology (AJCST)
Grouping of E Learners Using Fuzzy K-Medoid Clustering
Author : Vidyaathulasiraman, S. Anthony Philomen Raj and A. George Louis RajaVolume 8 No.2 April-June 2019 pp 85-89
Abstract
The process of clustering in the general perspective is limited to the grouping of data into clusters and finds its applications in the fields of information retrieval, text ranking and classification and more. The dimension of e-Learning is to improve learning with various tools and technologies. Grouping of learners based on their learning levels is found to improve the learning abilities. Scientific method to cluster the learners is not available in literature, which can further simplify the amalgamation of learning complemented through clustering. This paper is an attempt to examine the aspects of implementing clustering to group the learners according to their learning abilities.
Keywords
E-Learning, Grouping of Learners, Clustering
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