An active communication mechanism for e-learning by analyzing SNS user behavior

This paper presents an active communication mechanism based on SNS user behavior (e.g., likes, shares, replies) in e-learning. For this, we propose a novel automatic link generation method by considering users' knowledge and interests during the conversation on SNS. The method generates two kinds of links to promote user communication in e-learning, 1) knowledge support for receivers who receive posts from senders, and 2) conversation evoked support for receivers to offer the information regarding senders. Through this, the mechanism can provide knowledge appropriate to each user in e-learning. In this paper, we discuss our proposed user characteristic extraction using Facebook pages.