DocumentCode
3118970
Title
Common sense-based applications to advance personalized learning
Author
Anacleto, Junia C. ; De Carvalho, Ap Fabiano P ; Ferreira, Alexandre M. ; Pereira, Eliane N. ; Carlos, Alessandro J F
Author_Institution
Dept. of Comput., Fed. Univ. of Sao Carlos, Sao Carlos
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
3244
Lastpage
3249
Abstract
Learning process varies according to learners´ profiles and cultural contexts in which they are inserted. In order to provide effective learning, educators should contextualize the learning process to their learners´ needs from the planning of learning activities, i.e. a group of tasks with educational purpose, to the elaboration of learning content that they will use. This is a way to provide personalized learning to different groups of learners, one of the grand challenges for engineering research in the 21st century. This paper proposes the use of common sense knowledge for developing computer applications to support educators in contextualizing the learning process to their learners´ reality by the analysis of common sense knowledge collected from people with the same profile of the learners. It presents the solutions of OMCS-Br for collecting and using common sense knowledge into computer applications and three educational applications developed for the purpose of helping educators with personalized learning.
Keywords
common-sense reasoning; computer aided instruction; common sense knowledge; learning activities; learning content elaboration; learning process; personalized learning; Application software; Collaboration; Computer applications; Computer architecture; Cultural differences; Global communication; Knowledge acquisition; Knowledge representation; Laboratories; Process planning; common sense knowledge; cultural sensitive systems; knowledge acquisition; personalized learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location
Singapore
ISSN
1062-922X
Print_ISBN
978-1-4244-2383-5
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2008.4811796
Filename
4811796
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