• DocumentCode
    559680
  • Title

    Application of e-learning in business experimental teaching

  • Author

    Yan, Haiyan ; Wang, Chen ; Xu, Bo ; Yue, Yujia

  • Author_Institution
    Manage. Sch., Shanghai Inst. of Foreign Trade, Shanghai, China
  • fYear
    2011
  • fDate
    24-26 Oct. 2011
  • Firstpage
    213
  • Lastpage
    216
  • Abstract
    In order to meet the requirements of modern society, students in business related specialties need to possess practical ability, decision-making ability and the tools of mastering knowledge. Experimental teaching, as a kind of teaching reform that adapts the need of the society, starts to be used widely in business colleges. However, there are some problems and difficulties in business experimental teaching, such as guarantee of time, resources obtaining, the lack of diversification of simulation types, hard to achieve comprehensive systems, etc. On the whole, the utilization of modern information technology is still relatively weak. Therefore, E-learning technology based on the developed of multimedia and network technology can provide support for business experimental teaching. From the perspective of fit among business experimental teaching, E-learning and Constructivism learning, this paper deals with the function of E-learning in business experimental teaching, and points out that E-learning technology based environmental design and application are the key elements to improve the effect of business experimental teaching.
  • Keywords
    business data processing; computer aided instruction; decision making; multimedia systems; teaching; business colleges; business experimental teaching; constructivism learning; decision-making ability; e-learning technology; environmental design; knowledge mastery; multimedia technology; network technology; practical ability; Biological system modeling; Decision making; Educational institutions; Electronic learning; Multimedia communication; Constructivism; E-learning; Experimental Teaching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining and Intelligent Information Technology Applications (ICMiA), 2011 3rd International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4673-0231-9
  • Type

    conf

  • Filename
    6108431