IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-1709-6_34.html
   My bibliography  Save this book chapter

Quality assurance of web based e-Learning for statistical education

In: Compstat 2006 - Proceedings in Computational Statistics

Author

Listed:
  • Taerim Lee

    (Korea National Open University, Dept. of information Statistics)

  • Jungjin Lee

    (Sungsil University, Dept. of Statistics)

Abstract

e-Learning is an on-line education defined as the self paced or real time delivery of training and education over the internet to an end user device. In view of statistical education e-Learning has many advantages such as reduction of education cost, repeated learning, customized education, and self-paced learning. e-Learning system for Statistics Education has improved the lack of two-way communication and repetition, the main weakness of the existing media, TV, radio and written text. And it has extended the opportunity of learner by operating a variety of curriculum on the basis of e-learning. This paper describes the e-learning contents e-StatEdu for statistical education that anyone who wants to study could study anywhere, anytime with the internet and multimedia system. Those e-learning contents combine the e-lecture, e-book, simulation experiment, web link for reference, computer-aided tutor for statistical learning(CATS), self-evaluation system, and a statistical package for the practice of data analysis. Also the guideline and evaluation criteria of quality assurance of e-Learning contents was considered for each developing process of analysis & planning, design & development, implementation and evaluation.

Suggested Citation

  • Taerim Lee & Jungjin Lee, 2006. "Quality assurance of web based e-Learning for statistical education," Springer Books, in: Alfredo Rizzi & Maurizio Vichi (ed.), Compstat 2006 - Proceedings in Computational Statistics, pages 429-438, Springer.
  • Handle: RePEc:spr:sprchp:978-3-7908-1709-6_34
    DOI: 10.1007/978-3-7908-1709-6_34
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-7908-1709-6_34. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.