• DocumentCode
    3237979
  • Title

    The Research of Learning Resources System Based on Intelligent Push and Full-stack MVC Architecture

  • Author

    Jun Chen ; Jiegen Zhang ; Chunping Du

  • Author_Institution
    High Performance Comput. Center, Central South Univ., Changsha, China
  • fYear
    2012
  • fDate
    6-8 Nov. 2012
  • Firstpage
    433
  • Lastpage
    436
  • Abstract
    The traditional learning resources system gathered a mass of heterogeneous data. It is deficient in intelligence and personalization. Its development is complicated and long period. Learners acquire desired resources only through tedious frequent search. In view of shortcomings found in traditional learning resources system, this paper applied data mining technologies to the research of intelligent push while using Ruby on Rails´ full-stack MVC architecture for the system development. The system framework and algorithm is designed in this paper. Studies show that the intelligent push technologies and agile development methods can effectively improve the efficiency of learning resources utilization and cut down the development cycle.
  • Keywords
    data mining; learning (artificial intelligence); software architecture; software prototyping; agile development methods; data mining technologies; full-stack MVC architecture; intelligent push MVC architecture; learning resources system; Algorithm design and analysis; Artificial intelligence; Clustering algorithms; Collaboration; Data mining; Databases; Rails; data mining; full-stack MVC architecture; intelligent push; learning resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2012 Third Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-3072-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2012.71
  • Filename
    6449570