期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2013
卷号：8
期号：3
页码：35-38
语种：English
出版社：Kassel University Press
摘要：This paper describes an implementation for group profiling assisting language learning in social networking sites and particularly in Facebook. In this study, we have developed an educational application in Facebook for grammar learning, while the whole procedure is assisted by group profiling. We applied K-means clustering algorithm to determine the groups of students with the same learning styles and abilities, creating a more sophisticated and dynamic model. The algorithm takes as input, to initialize the process, two important students�?? characteristics �?? age and knowledge. Our study exploits the fact that educational systems have a large number of users and we use a machine learning reasoning mechanism that is based on recognized similarities between them. Future plans include evaluating our Facebook application in order to examine the degree of usefulness of the group profiling for language learning.
关键词：Facebook; Group profiling; Social networking services;User clustering
