Intelligent route generation: Discovery and search of correlation between shared resources

Neil Y. Yen, Runhe Huang, Jianhua Ma, Qun Jin, Timothy K. Shih

Research output: Contribution to journalReview article

13 Citations (Scopus)

Abstract

Sharing information and resources on the Internet has become an important activity for education. The use of ubiquitous devices makes it possible for learning participants to be engaged in an open and connected social environment, and also allows the learning activities to be performed at any time and any place. In this study, the discovery of correlation among shared resources is concentrated. A hypothetical scenario is considered that the information, such as photos and thoughts, is applicable to be shared with implicit context (i.e., geographical information) by learners through a practical implementation, PadSCORM, on a mobile device. Two major contributions are achieved. First, the correlations among resources are determined through usage experiences mining and geographical information adjustment. It then assists learners in filtering out redundant information by highlighting the significance of resources. Second, an intelligent searching algorithm is proposed to visualize adaptive routes to facilitate search process and to enrich the learning activity. The empirical experiments revealing the feasibility and performance (e.g., accuracy and effectiveness) are conducted in the universities in North Taiwan.

Original languageEnglish
Pages (from-to)732-746
Number of pages15
JournalInternational Journal of Communication Systems
Volume26
Issue number6
DOIs
Publication statusPublished - 2013 Jun 1
Externally publishedYes

Keywords

  • information filtering
  • pervasive computing
  • result enrichment
  • social network analysis
  • ubiquitous learning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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