DocumentCode :
3142684
Title :
The Design of e-Learning Environment Oriented for Personalized Adaptability
Author :
Ninomiya, Toshie ; Nakayama, Ken ; Shimizu, Miyuki ; Anma, Fumihiko ; Okamoto, Toshio
Author_Institution :
Univ. of Electo-Commun., Tokyo
fYear :
2007
fDate :
18-20 July 2007
Firstpage :
728
Lastpage :
729
Abstract :
A design of e-Learning environment is described for personalized adaptability. At first, we explain the whole system of our learning management system, WebClass RAPSODY, which has been developed to stand up to use by whole students in a university In this topic, there are two points, 1) infrastructure construction/maintenance in university, 2) improvement of LMS to use it for official lecture of university. Then, new developing function is explained including unit for learning mode to monitor and analyze learner´s learning status and unit for contents to search and analyze content´s status. After learning a content, this system indicates next suitable content, with data mining of learner´s status and content´s status by genetic algorithm (GA). This function could support learner to sustain e-learning with well- understanding of contents and highly-motivation to learning.
Keywords :
data mining; distance learning; educational administrative data processing; genetic algorithms; least mean squares methods; WebClass RAPSODY; data mining; e-learning environment design; genetic algorithm; infrastructure construction; infrastructure maintenance; learner learning status; learning management system; personalized adaptability; Certification; Collaborative work; Content management; Electronic learning; Employee welfare; Identity management systems; Least squares approximation; Monitoring; Registers; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
Type :
conf
DOI :
10.1109/ICALT.2007.240
Filename :
4281141
Link To Document :
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