Analysing research trends of mobile learning with the Milky Way

Brendan Flanagan, Chengjiu Yin, Sachio Hirokawa, Han Yu Sung, Gwo Jen Hwang

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

    1 Citation (Scopus)

    Abstract

    Identifying research trends is an integral part of the planning phase of academic research and can be a daunting task for those not familiar with the process. This paper proposes the use of the Milky Way search engine to assist novice students who are beginning to undertake research. Using data-processing and data-mining techniques with data from SciVerse Scopus, the Milky Way search engine can provide students with a way to investigate research trends and test trend hypothesis' in their field. We evaluated the use of the Milky Way search engine in the field of mobile learning to analyze research trends.

    Original languageEnglish
    Title of host publicationProceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012
    Pages249-253
    Number of pages5
    DOIs
    Publication statusPublished - May 15 2012
    Event2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012 - Takamatsu, Kagawa, Japan
    Duration: Mar 27 2012Mar 30 2012

    Publication series

    NameProceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012

    Other

    Other2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012
    CountryJapan
    CityTakamatsu, Kagawa
    Period3/27/123/30/12

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Education

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