DocumentCode
240639
Title
Mobile-Based AR Application Helps to Promote EFL Children´s Vocabulary Study
Author
Junjie He ; Jiali Ren ; Gaoxia Zhu ; Su Cai ; Guang Chen
Author_Institution
Sch. of Educ. Technol., Beijing Normal Univ. Beijing, Beijing, China
fYear
2014
fDate
7-10 July 2014
Firstpage
431
Lastpage
433
Abstract
The advancement of mobile device is influencing the learning activities markedly. In this study, we attempt to use augmented reality (AR) technology to design and develop mobile-based English learning software for pre-school children in order to solve the problem of bored students and teachers´ non-standard pronunciation, the mobile learning system is able to present the learning materials including virtual pictures, the meaning and pronunciation of words. A vivid picture will emerge when using mobile camera to identify an English word on card, which improves children´s interests in learning. The 40 pre-school children who participated in this research were assigned to an experimental and a control group. From the pre-tests and post-tests as well as the interview of the English teacher, it was found that the students learning with mobile-based AR software had greater learning achievement than control group ones. Thus the teacher hold positive attitude to this software.
Keywords
augmented reality; cameras; computer aided instruction; mobile computing; natural language processing; vocabulary; EFL children vocabulary study; augmented reality technology; control group; experimental group; learning activities; learning materials; mobile camera; mobile device; mobile learning system; mobile-based AR Application; mobile-based AR software; mobile-based English learning software; pre-school children; virtual pictures; word meaning; word pronunciation; Augmented reality; Educational institutions; Mobile communication; Mobile handsets; Software; Vocabulary; EFL (English as a foreign language); augmented reality; mobile platform; pre-school children;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location
Athens
Type
conf
DOI
10.1109/ICALT.2014.129
Filename
6901503
Link To Document