Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Working in a group, especially, in the academic massive context is a privileged moment of exchange and interaction between learners as well as between learners and the trainer. It is also important to customize the learning process according to the skills and requirements of the each group of learners. We present in this study an algorithm called LeCA (Learner’s Clustering Algorithm) to grouping learners according to their profiles. For this, we defined a model of a user profile as well as metrics to calculate the distance between different profiles and also between a profile and a group.
How to cite this article:
Samir Anter and Ahmed Zellou. Applied Learners Clustering Methodology in the Massive University.
DOI: https://doi.org/10.36478/jeasci.2019.2046.2054
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.2046.2054