DocumentCode :
2579271
Title :
Study on Blended Learning approach for English teaching
Author :
Wang, Xiaomei ; Yang, Yajun ; Wen, Xin
Author_Institution :
Sch. of Int. Languages & Cultures, Beijing Union Univ., Beijing, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4641
Lastpage :
4644
Abstract :
In this paper, the authors proposed a novel English teaching model based on blended learning to assist students in successfully mastering the courses. The model is realized as a combination of a face-to-face environment and online learning using an English teaching system. In the system, student dynamic model is established with semantics. The personalized learning resource recommendation is made by support vector machines (SVMs) classifier based on the student dynamic model. The framework of learning resource management using domain ontology is described. A case study on blended learning approach for English teaching is given. The results indicate that blended learning provides an effective approach for the English teaching.
Keywords :
computer aided instruction; educational courses; learning (artificial intelligence); ontologies (artificial intelligence); support vector machines; teaching; English teaching model; blended learning approach; domain ontology; educational courses; online learning; personalized learning resource recommendation; student dynamic model; support vector machines; Cybernetics; Education; Educational institutions; Educational technology; Electronic learning; Information technology; Internet; Machine learning; Natural languages; Support vector machines; Blended Learning; English teaching; learning resource; personalized recommendation; student model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346756
Filename :
5346756
Link To Document :
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