DocumentCode :
3154775
Title :
The Application of Artificial Intelligence in Mobile Learning
Author :
Liu, Qiang ; Diao, Lixin ; Tu, Guangcan
Author_Institution :
Art Acad., China Three Gorges Univ., Yichang, China
Volume :
1
fYear :
2010
fDate :
12-14 Nov. 2010
Firstpage :
80
Lastpage :
83
Abstract :
This paper research the application of artificial intelligence in mobile learning. In the first place, this paper analyse the meaning of mobile learning and artificial intelligence, make them clear to people. In the second place, explain the significance of the application of artificial intelligence in mobile learning. This paper introduce five problems in mobile learning. These problems make it necessary to apply artificial intelligence. In the third place, introduce the specific application of artificial intelligence in mobile learning. It include: 1) Mobile Intelligent Teaching Expert System (MITES). 2) Mobile Intelligent Decision Support System(MIDSS). 3) Mobile Intelligenct Information Retrieval Engine (MIIRE). 4) Mobile Intelligent Induct-learning System (MTIS). 5) Intelligent Hardware Network (IHN). Finally, looking to the future, there are two main problems about the artificial intelligence in mobile learning: 1) Technical problems. 2) Development of soft tools.
Keywords :
artificial intelligence; distance learning; mobile computing; IHN; MIDSS; MIIRE; MITES; MTIS; artificial intelligence application; intelligent hardware network; mobile intelligenct information retrieval engine; mobile intelligent decision support system; mobile intelligent induct learning system; mobile intelligent teaching expert system; mobile learning; Education; Knowledge engineering; Learning; Mobile communication; Mobile computing; Wireless communication; application; artificial intelligence; mobile learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8664-9
Type :
conf
DOI :
10.1109/ICSEM.2010.28
Filename :
5640149
Link To Document :
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