Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)

Constructing E-learning Course of Business Japanese

Authors
Ziming Shi, Hui Kang
Corresponding Author
Ziming Shi
Available Online March 2014.
DOI
10.2991/sekeie-14.2014.21How to use a DOI?
Keywords
Business Japanese; E-learning; platform; autonomous learning
Abstract

This paper introduces the construction Business Japanese E-learning courses. By language “ASP.NET” and database tool “SQL”, the E-learning Course is designed and established. Two platforms, namely, the front platform which acts as the interface with students, and the back platform which acts as the interface with teachers and administrators, are constructed with several modules each. This Business Japanese E-learning Course aims at enriching students’ Business Japanese knowledge and enhancing their autonomous learning abilities, which also acts as the teachers’ effective assistant. The teaching mode discussed in this paper also aims at providing a possible direction for conducting other subjects on campus.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
10.2991/sekeie-14.2014.21
ISSN
1951-6851
DOI
10.2991/sekeie-14.2014.21How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ziming Shi
AU  - Hui Kang
PY  - 2014/03
DA  - 2014/03
TI  - Constructing E-learning Course of Business Japanese
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 91
EP  - 93
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.21
DO  - 10.2991/sekeie-14.2014.21
ID  - Shi2014/03
ER  -