• DocumentCode
    2232658
  • Title

    A Web- and Problem-Based Learning System in Artificial Intelligence

  • Author

    Shen, Victor R L ; Juang, Tong-Ying

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin
  • fYear
    2006
  • fDate
    10-12 July 2006
  • Firstpage
    299
  • Lastpage
    304
  • Abstract
    This paper aims to construct a Web-based PBL system for the students at the department of computer science and information engineering. The central bases on instructional theory, learning theory, and PBL instructional activities are applied to this paper. The research methods include literature review, experts´ visits, PBL instruction, interview, focus group, etc. Based on the above theories and research methods, the authors intend to educate the students´ teamwork, data analyzing, and problem-solving capabilities. Moreover, the ability of technological innovation can enable students to enhance their competencies. The research results obviously show that the PBL instruction can help students learn more about artificial intelligence (AI)
  • Keywords
    Internet; artificial intelligence; computer aided instruction; computer science education; PBL instructional activities; Web-based learning system; artificial intelligence; data analyzing capabilities; instructional theory; learning theory; literature review; problem-based learning system; problem-solving capabilities; students teamwork; technological innovation; Artificial intelligence; Computer aided instruction; Computer science; Computer science education; Data analysis; Humans; Learning systems; Problem-solving; Teamwork; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2006 and 2006 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse. ICIS-COMSAR 2006. 5th IEEE/ACIS International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7695-2613-6
  • Type

    conf

  • DOI
    10.1109/ICIS-COMSAR.2006.15
  • Filename
    1652007