• DocumentCode
    2528157
  • Title

    WebQuest: M-learning for Environmental Education

  • Author

    Chang, Cheng-Sian ; Chen, Tzung-Shi ; Hsu, Wei-Hsiang

  • Author_Institution
    Dept. of Inf. & Learning Technol., Nat. Univ. of Tainan, Tainan, Taiwan
  • fYear
    2010
  • fDate
    12-16 April 2010
  • Firstpage
    231
  • Lastpage
    233
  • Abstract
    This study focuses on teaching students about resource recycling and classification through an instructional website based on WebQuest. The purpose of this study is to demonstrate the impact of different teaching strategies on the learning performance of environmental education through quantitative methods. The participants in this study were separated into three groups: traditional instruction, traditional WebQuest instruction, and WebQuest in outdoor education. Through ANCOVA analysis, the results show significant differences between the three groups in the post-examination. In addition, this study found two interesting results. First, the process of using WebQuest combined with real situations helped students acquire more knowledge and experience. And second, student cognition directly influenced task performance and indirectly made an impact on learning performance.
  • Keywords
    Web sites; computer aided instruction; environmental science computing; statistical analysis; ANCOVA analysis; M-learning; WebQuest; environmental education; instructional Web site; outdoor education; quantitative methods; resource classification; resource recycling; traditional WebQuest instruction; traditional instruction; Cognition; Computer science; Computer science education; Educational technology; Handheld computers; Hazards; Humans; Protection; Recycling; Safety; Environmental Protection; Outdoor Education; WebQuest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless, Mobile and Ubiquitous Technologies in Education (WMUTE), 2010 6th IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3992-8
  • Electronic_ISBN
    978-1-4244-6428-9
  • Type

    conf

  • DOI
    10.1109/WMUTE.2010.35
  • Filename
    5476519