DocumentCode
2086110
Title
Associative Language Learning Support Applying Graph Clustering For Vocabulary Learning and Improving Associative Ability
Author
Jung, Jaeyoung ; Makoshi, Nobuyasu ; Akama, Hiroyuki
Author_Institution
Dept. of Human Syst. Sci., Tokyo Inst. of Technol., Tokyo
fYear
2008
fDate
1-5 July 2008
Firstpage
228
Lastpage
232
Abstract
In this study, we propose a new Web-based associative language learning system, called ALL It assumes that word association exercise and associative information about words would be useful for vocabulary learning and improving associative ability. For this, word association sources are used, and a graph theory and a graph clustering are employed as suitable tools for organizing the data structure and for mining meaningful information from it.
Keywords
associative processing; computer aided instruction; graph theory; pattern clustering; associative ability; associative language learning support; data structure; graph clustering; graph theory; information mining; vocabulary learning; word association sources; Data structures; Databases; Graph theory; Humans; Large-scale systems; Learning systems; Organizing; Thesauri; Usability; Vocabulary; associative vocabulary learning; computer-assisted vocabulary learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
Conference_Location
Santander, Cantabria
Print_ISBN
978-0-7695-3167-0
Type
conf
DOI
10.1109/ICALT.2008.40
Filename
4561672
Link To Document