DocumentCode
2709856
Title
Using Bayesian Networks to Implement Adaptivity in Mobile Learning
Author
Yu Dan ; XinMeng, Chen
Author_Institution
Comput. Sch., Wuhan Univ., Wuhan, China
fYear
2006
fDate
1-3 Nov. 2006
Firstpage
97
Lastpage
97
Abstract
Mobile learning technologies have the potential to revolutionize distance education by bringing the concept of anytime and anywhere to reality. However, the development of mobile learning is hampered by various technological and access related problems, including the difficulty in implementing adaptivity. In this paper, we use the Bayesian networks to determine mobile learner´s styles exploring the potential of individualization of learning process for the learners to implement adaptive mobile learning.
Keywords
computer aided instruction; distance learning; mobile computing; Bayesian networks; adaptive mobile learning technology; distance education; learning process; mobile learner; mobile learning adaptivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location
Guilin
Print_ISBN
0-7695-2673-X
Type
conf
DOI
10.1109/SKG.2006.107
Filename
5727734
Link To Document