Analysing Research Trends of Mobile Learning with the Milky Way

Author

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

Author_Institution

Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan

fYear

2012

fDate

27-30 March 2012

Firstpage

249

Lastpage

253

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.

Keywords

computer aided instruction; data mining; mobile computing; planning; search engines; Milky Way search engine; SciVerse Scopus; academic research; data mining; data processing; mobile learning; planning phase; Electronic learning; Hardware; Mobile communication; Personal digital assistants; Search engines; Smart phones; Wireless communication; Analysis; Data mining; Mobile Learning; Research trend survey; Search engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless, Mobile and Ubiquitous Technology in Education (WMUTE), 2012 IEEE Seventh International Conference on

Conference_Location

Takamatsu

Print_ISBN

978-1-4673-0884-7

Type

conf

DOI

10.1109/WMUTE.2012.61

Filename

6185041