• DocumentCode
    1926401
  • Title

    Integrating the theory of multiple intelligences in the chemical equilibrium course to improve student´s learning achievements

  • Author

    Own, Zang Yuan ; Li, Kung Wen

  • Author_Institution
    Dept. of Appl. Chem., Providence Univ., Taichung, Taiwan
  • fYear
    2004
  • fDate
    30 Aug.-1 Sept. 2004
  • Firstpage
    886
  • Lastpage
    888
  • Abstract
    The purpose of this study is to set up a learning environment which is based on the multiple intelligences (MI) theory applied to the Internet. We try to find out the best suitable design style Web title for the students. Students of this experiment are divided into two groups of learning environments, i.e. the multiple intelligences learning Web title and general learning Web title. The student´s cognitive style and multiple intelligences are identified by the questionnaires. The ACS test and SPSS are needed as research tools, to analyze the data obtained respectively. After analyzed the all factors, we find out the MI Web-based learning has the very positive effect on overall students especially on: field-independent students, and who just only have the naturalist or not only have one more intelligences simultaneously shown better achievements in the MI learning environment.
  • Keywords
    Internet; Web design; chemistry computing; computer aided instruction; educational courses; user modelling; ACS test; Internet; SPSS; Web-based learning; chemical equilibrium course; field-independent students; general learning Web title; learning environment; multiple intelligences learning Web title; multiple intelligences theory; student cognitive style; student learning achievements; Chemical products; Chemistry; Computer aided instruction; Data analysis; Digital cameras; Home computing; Internet; Multimedia systems; Testing; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7695-2181-9
  • Type

    conf

  • DOI
    10.1109/ICALT.2004.1357704
  • Filename
    1357704