Learning by "search & log"

Chengjiu Yin, Brendan Flanagan, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Although previous research has demonstrated the benefits of the "learning by searching" strategy, there is a new problem which is how to measure and analyze the effectiveness of "Learning by Searching" behaviors. In this paper, by using the record of the students' learning history, we have proposed a SNSearch system to analyze student web-searching behaviors of "Learning by Searching".

    Original languageEnglish
    Title of host publicationProceedings of the 22nd International Conference on Computers in Education, ICCE 2014
    EditorsHiroaki Ogata, Lara Lomicka-Anderson, Ching-Sing Chai, Regine Hampel, Yusuke Hayashi, Julita Vassileva, Chen-Chung Liu, Wenli Chen, Jack Hsu, Yu-Ju Lan, Jon Mason, Masanori Yamada, Hsin-Yih Shyu, Amali Weerasinghe, Ying-Tien Wu, Li Zhang, Kinshuk, Yukihiro Matsubara, Yongwu Miao, Hiroaki Ogata, Siu Cheung Kong, Maiga Chang, Morris S. Y. Jong, Rita Kuo, Robby Robson, Barbara Wasson, Akihiro Kashihara, Ulrike Cress, Marc Jansen, Jun Oshima, Chengjiu Yin, Jianwei Zhang, Clark Chinn
    PublisherAsia-Pacific Society for Computers in Education
    Pages391-393
    Number of pages3
    ISBN (Electronic)9784990801410
    Publication statusPublished - Jan 1 2014
    Event22nd International Conference on Computers in Education, ICCE 2014 - Nara, Japan
    Duration: Nov 30 2014Dec 4 2014

    Publication series

    NameProceedings of the 22nd International Conference on Computers in Education, ICCE 2014

    Other

    Other22nd International Conference on Computers in Education, ICCE 2014
    CountryJapan
    CityNara
    Period11/30/1412/4/14

    All Science Journal Classification (ASJC) codes

    • Computer Science(all)
    • Education

    Fingerprint Dive into the research topics of 'Learning by "search & log"'. Together they form a unique fingerprint.

    Cite this