An intelligent social bookmarking system for searching quality web resources for e-learning

Tak Lam WONG, Siu Cheung KONG

Research output: Contribution to conferencePapers

Abstract

This paper aims at developing an intelligent E-learning system incorporated with data mining technique, namely, Social SEarch for E-leaning (SE)^2, for supporting students to access quality Web resources. One characteristic of (SE)^2 is that it is designed based on social bookmarking, in which users can describe the Web resource using meaningful tags. Another characteristic of (SE)^2 is that data mining techniques are employed to automatically analysis the information of users, tags, and Web resources to recommend students Web resources that are potentially useful and relevant.
Original languageEnglish
Publication statusPublished - 2012

Citation

Wong, T.-L., & Kong, S. C. (2012, June). An intelligent social bookmarking system for searching quality web resources for e-learning. Paper presented at the (GCCCE 2012) Global Chinese Conference on Computers in Education: Global Community, cloud computing, National University of Tainan, Tainan, Taiwan.

Keywords

  • Web resource
  • Collaborative learning
  • Social bookmarking
  • Data mining
  • Pedagogy

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