DocumentCode :
1838755
Title :
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
Link To Document :
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