DocumentCode :
1906553
Title :
User Modeling on Communication Characteristics Using Machine Learning in Computer-Supported Collaborative Multiple Language Learning
Author :
Virvou, Maria ; Alepis, E. ; Troussas, C.
Author_Institution :
Dept. of Inf., Univ. of Piraeus, Piraeus, Greece
Volume :
1
fYear :
2012
fDate :
7-9 Nov. 2012
Firstpage :
1088
Lastpage :
1093
Abstract :
Towards the creation of a multiple language learning environment which supports and enhances collaboration among its students we propose an approach that uses user modeling and machine learning. The well known theory of user modeling is used to collect user characteristics and as second step a classical machine learning approach is incorporated in order to intelligently use these characteristics to create student groups. The resulting student groups promote win-win collaboration, thus support the learning process and provide additional educational benefits for the learners.
Keywords :
groupware; intelligent tutoring systems; learning (artificial intelligence); user modelling; communication characteristics; computer-supported collaborative multiple language learning environment; educational benefit; intelligent tutoring system; learning process; machine learning; student group; user characteristics; user modeling; win-win collaboration; Artificial intelligence; Clustering algorithms; Collaboration; Collaborative work; Computational modeling; Computer architecture; Servers; computer-supported collaborative learning; k-means algorithm; machine learning; multiple language learning; user modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location :
Athens
ISSN :
1082-3409
Print_ISBN :
978-1-4799-0227-9
Type :
conf
DOI :
10.1109/ICTAI.2012.154
Filename :
6495171
Link To Document :
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