DocumentCode
480447
Title
Research on Mobile Learning Platform with Device Adapting Ability Based on Agent
Author
Wang, Jianhua ; Li, Jing
Author_Institution
Sch. of Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin
Volume
5
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
933
Lastpage
936
Abstract
Mobile learning means learners can access learning resources at anywhere and anytime with mobile devices; Because these devices operate in different ways and have different capabilities, so some learning resources may not be in a format that different mobile devices accept. In order to provide learners with appropriate courses, a project on mobile learning platform supporting three-layered structure and device adapting was put forward. The structure of the platform was discussed fully. A method converting course materials to the desired format automatically and the technology of cluster agent supporting device adapting in mobile learning system were mainly discussed. The technology contains some hot subjects such as the characteristics of mobile agent and multi-agent model, the functional structure of device adapting agent model. This investigation can shorten the period of constructing education-resource website effectively.
Keywords
Web sites; computer aided instruction; educational courses; mobile agents; mobile computing; mobile handsets; multi-agent systems; cluster agent supporting device; course materials; device adapting ability; device adapting agent model; education-resource Web site; educational courses; learning resources; mobile agent; mobile devices; mobile learning platform; mobile learning system; multiagent model; Computer networks; Computer science; Databases; Handheld computers; Mobile communication; Mobile computing; Personal digital assistants; Pervasive computing; Telephony; Web server; Agent; Device adapting model; Mobile learning; Platform;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.274
Filename
4723058
Link To Document