Junco, R., Elavsky, C.M. and Heiberger, G. (2013) Putting Twitter to the Test: Assessing Outcomes for Student Collaboration, Engagement and Success. British Journal of Educational Technology, 44, 273-287.
https://doi.org/10.1111/j.1467-8535.2012.01284.x

has been cited by the following article:

• TITLE: Rumi: An Intelligent Agent Enhancing Learning Management Systems Using Machine Learning Techniques

  AUTHORS: Behafarid Mohammad Jafari, Mengyuan Zhao, Ali Jafari

  KEYWORDS: Learning Management Systems, Intelligent Agents, Artificial Intelligence, Machine Learning

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.15 No.9, September 2, 2022

  ABSTRACT: The dramatic improvement of information and communication technology (ICT) has made an evolution in learning management systems (LMS). The rapid growth in LMSs has caused users to demand more advanced, automated, and intelligent services. This paper discusses how Artificial Intelligence and Machine Learning techniques are adopted to fulfill users’ needs in a social learning management system named “CourseNetworking”. The paper explains how machine learning contributed to developing an intelligent agent called “Rumi” as a personal assistant in CourseNetworking platform to add personalization, gamification, and more dynamics to the system. This paper aims to introduce machine learning to traditional learning platforms and guide the developers working in LMS field to benefit from advanced technologies in learning platforms by offering customized services.