DocumentCode :
138669
Title :
Social learning networks: A brief survey
Author :
Brinton, Christopher G. ; Mung Chiang
Author_Institution :
Princeton Univ., Princeton, NJ, USA
fYear :
2014
fDate :
19-21 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
Social Learning Network (SLN) is a type of social network among students, instructors, and modules of learning. It consists of the dynamics of learning behavior over a variety of graphs representing the relationships among the people and processes involved in learning. Recent innovations in online education, including open online courses at various scales, in flipped classroom instruction, and in professional and corporate training have presented interesting questions about SLN. Collecting, analyzing, and leveraging data about SLN lead to potential answers to these questions, with help from a convergence of modeling languages and design methods, such as social network theory, science of learning, and education information technology. This survey article overviews some of these topics, including prediction, recommendation, and personalization, in this emergent research area.
Keywords :
computer aided instruction; graph theory; interactive programming; social networking (online); student experiments; SLN; graph representation; instructors; modules of learning; online education; social learning networks; students; Accuracy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems (CISS), 2014 48th Annual Conference on
Conference_Location :
Princeton, NJ
Type :
conf
DOI :
10.1109/CISS.2014.6814139
Filename :
6814139
Link To Document :
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