• DocumentCode
    1925513
  • Title

    Supporting adaptive mentor by student preference within context of problem-solving learning

  • Author

    Wei, Fu-Hsiang ; Lee, Liang-Yi ; Chen, Gwo-Dong

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
  • fYear
    2004
  • fDate
    30 Aug.-1 Sept. 2004
  • Firstpage
    789
  • Lastpage
    791
  • Abstract
    Knowledge can be created in an active dialogue among those who seek to understand and apply concepts. Most of Web-based learning systems provide a discussion forum to create knowledge. However, discussion forum posts are separated from the context of the learning activities. Students must manually rebuild the context of their questions before posting. Students also commented that they had problems interpreting the answers to the questions posted. This paper proposes an online e-book annotation interface that enables students to post a question directly and receive timely adaptive mentoring in the place and context where question encountered in reading e-book, and to use anchors to access discussions in a forum. And, a mentor recommender, based on the preference and knowledge level of the students, is provided to recommend appropriate capable peers to answer the issued questions. The experiment results showed that the discussions were increased significantly, and about 80% of students indicated that they benefited greatly by adaptive peer help.
  • Keywords
    Web sites; adaptive systems; computer aided instruction; distance learning; distributed processing; knowledge based systems; Web-based learning systems; adaptive mentor; discussion forum posts; mentor recommender; online e-book annotation interface; problem-solving learning; student preference; Computer science; Discussion forums; Education; Employee welfare; Feedback; Knowledge engineering; Learning systems; Online Communities/Technical Collaboration; Problem-solving; Writing;
  • 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.2004.1357658
  • Filename
    1357658