Dynamical user networking and profiling based on activity streams for enhanced social learning

Xiaokang Zhou*, Qun Jin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Recently, social media enhanced learning has become more and more popular. It is featured as learning through interaction and collaboration in a community or across a social network, which can be considered as a kind of social learning. In this study, we integrate SNS (such as twitter) into the web-based learning process and further delve into the discovery of potential information from the reorganized stream data. We propose a Dynamical Socialized User Networking (DSUN) model which represents users' profiling and dynamical relationship by a set of measures. Finally, we show an application scenario of the DSUN model to assist the learning process and enhance the learning efficiency in web-based environments.

Original languageEnglish
Title of host publicationAdvances in Web-Based Learning, ICWL 2011 - 10th International Conference, Proceedings
Pages219-225
Number of pages7
DOIs
Publication statusPublished - 2011 Dec 1
Event10th International Conference on Advances in Web-Based Learning, ICWL 2011 - Hong Kong, China
Duration: 2011 Dec 82011 Dec 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7048 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Advances in Web-Based Learning, ICWL 2011
Country/TerritoryChina
CityHong Kong
Period11/12/811/12/10

Keywords

  • SNS
  • Social Learning
  • Social Stream
  • Stream Metaphor
  • User Model

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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