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