• DocumentCode
    3140764
  • Title

    Delivering Context-aware Learning Guidance in the Mobile Learning Environment based on Information Theory

  • Author

    Kuo, Rita ; Wu, Min-Chang ; Chang, Alex ; Chang, Maiga ; Heh, Jia-Sheng

  • Author_Institution
    Chung-Yuan Christian Univ., Jhongli
  • fYear
    2007
  • fDate
    18-20 July 2007
  • Firstpage
    362
  • Lastpage
    366
  • Abstract
    Mobile Learning makes students get the advantages of both traditional learning and e-learning. How to give students learning sequence suggestions in the mobile learning environment is a big issue and is also the goal of this paper. This research uses knowledge map to store the characteristics of each learning object and designs a situated map to represent spatial knowledge in the mobile learning environment. By using these two knowledge structures, knowledge map and situated map, the system created by this research can generate various navigation sentences and ask students to observe the characteristics of learning objects. This research also takes information theory into consideration in order to decide which navigation sentence should deliver to the student first. The system calculates the entropy for each generated sentence and finds the most appropriate one to deliver to the student. At the end of this paper, an experiment system is implemented for the 5th year biology course, Plant Observation.
  • Keywords
    computer aided instruction; entropy; knowledge representation; mobile computing; context-aware learning guidance; e-learning; entropy; information theory; knowledge map; knowledge structure; mobile learning environment; situational learning; spatial knowledge representation; student learning sequence; Cognition; Electronic learning; Humans; Information theory; Knowledge representation; Mobile computing; Navigation; Personal digital assistants; Sequences; US Department of Transportation; Knowledge Map; Learning Navigation; Mobile Learning; Situated Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
  • Conference_Location
    Niigata
  • Print_ISBN
    0-7695-2916-X
  • Type

    conf

  • DOI
    10.1109/ICALT.2007.112
  • Filename
    4281036