• DocumentCode
    3264402
  • Title

    Developing EL-RFM model for quantification learner´s learning behavior in distance learning

  • Author

    Chang, Hui-Chu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 June 2010
  • Abstract
    Recently, Internet has become an import learning environment to assist students´ learning, overcoming the limitations of time and space. In addition, the Internet is an import on-the-job trainings space to an enterprise, increasing enterprise´s competitiveness in rapidly changing environment. In Internet learning environment, learning and teaching is separated, the most of learning process is managed by learner himself. The learner´s learning motive force is an important factor to gain the well learning effectiveness. Therefore, the instructor want to know the learner´s learning process, and has a measuring model to measure the learner´s learning motive force. In this study, the EL-RFM model (for E-Learning RFM) is proposed to measure learner´s learning motive force. The model is an approximate RFM model, but the meanings of R, F, and M are redefined, namely EL-R, EL-F, EL-M. The EL-RFM model´s aim is to measure students´ learning motive forces, and then the instructor can realize and analysis students´ behaviors. Furthermore, the instructor could develop better assistant learning strategies to attract students´ interest in learning process.
  • Keywords
    Internet; computer aided instruction; distance learning; EL-RFM model development; Internet learning environment; distance learning; quantification learners learning behavior; Collaborative work; Computer aided instruction; Computer science education; Educational technology; Electronic learning; Force measurement; Frequency; Internet; Kernel; Modems; Distance learning; RFM model; Web-enhanced; learning motive force;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer (ICETC), 2010 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6367-1
  • Type

    conf

  • DOI
    10.1109/ICETC.2010.5529644
  • Filename
    5529644