• DocumentCode
    2012667
  • Title

    Using agents and simulation to develop adequate thinking styles

  • Author

    Wang, Dai-Yi ; Wu, Zong-Han ; Sun, Chuen-Tsai ; Lin, Sunny S J

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., HsinChu, Taiwan
  • fYear
    2005
  • fDate
    5-8 July 2005
  • Firstpage
    890
  • Lastpage
    894
  • Abstract
    Reinforcement learning theory encourages the use of agents for stimulating and assisting learners in their efforts to develop thinking styles. In this study the authors looked at a similar scenario of human-environmental interaction using Internet-mediated simulations as learning environments. One hundred and forty-nine vocational high schools students participated in this study to see if they can develop adequate thinking style when they learned in a simulation environment with help from agents. The results show that the judicial thinking style was best suited to the system we designed for this project - that is, we observed the greatest amount of development for this particular thinking style. Our results indicate that it is possible to establish and support thinking styles via Internet-mediated simulations.
  • Keywords
    Internet; computer aided instruction; learning (artificial intelligence); multi-agent systems; software agents; vocational training; Internet-mediated simulations; human-environmental interaction; judicial thinking style; learning assistance; learning environments; reinforcement learning theory; simulation environment; software agents; vocational high schools students; Artificial intelligence; Computational modeling; Computer science education; Educational institutions; Educational technology; Information science; Internet; Learning; Sun; Teamwork;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
  • Print_ISBN
    0-7695-2338-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2005.298
  • Filename
    1508848