Article ID Journal Published Year Pages File Type
350934 Computers in Human Behavior 2013 8 Pages PDF
Abstract

The phenomenon of social learning analytics presents a synergy between variety of disciplines, such as business intelligence, educational data mining, cyberlearning, and cyber infrastructure. The main contribution of this research is to combine two types of social learning analytics, social learning network analysis and social learning content analysis in studying the impact of the Social Multimedia Systems (SMSs) on cyberlearners. The research study provided in this paper is based on the survey data collected in spring 2011 at Western Kentucky University. The evidence obtained from the analysis shows that SMS impacts (a) the digital communication between faculty and students; (b) students’ success and grades; (c) the amount of materials covered and learned; (d) the effectiveness of studying; (e) the depth of learning; (f) the ability to focus on the most important learning objectives; (g) the degree of collaboration among students; and (h) the students’ motivation of studying.

► Discovering the impact of using of the Social Multimedia System on faculty. ► Discovering the impact of using of the Social Multimedia System on students’ learning experience. ► Discovering the impact of using of the Social Multimedia System on students’ learning success. ► Finding the impact of the Social Multimedia Systems on cyberlearners.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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