Research on Countermeasures of Bilingual Teaching Based on Dual Variable Control and Least Squares Method

DOI

10.2991/msie-13.2013.73How to use a DOI?

Keywords

Dual variable control, Least square method, Regression function, Normal distribution, Unbiased estimation

Abstract

Since China entered the WTO, the accounting major has gradually integrated with international, and it is imperative to strengthen the English ability of accounting major. However, higher vocational colleges are limited by the recruit students, and students' English foundation is poor. It has a lot of difficulty to directly carry on the English bilingual teaching, so the researches of bilingual teaching in higher vocational colleges have very important significance. This paper firstly investigates the students' English level of higher vocational college, and according to the investigation of the passing rate of cet4 and cet6, it finds that the English level of higher vocational colleges is low. This paper is based on the current situation to use the double variable control theory, and this method can have statistical analysis of the proportion of Chinese and English in the process of accounting teaching. It uses the least square method to optimize the data, and finally it obtains reasonable distribution proportion of English and Chinese in the teaching process. This paper is based on the related problems of accounting major’s bilingual teaching to put forward the opinion and strategy, and this can provide reliable theoretical basis for the implementation and development of bilingual teaching in higher vocational colleges.

Copyright

© 2013, 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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TY  - CONF
AU  - Junqiang Zhang
PY  - 2013/11
DA  - 2013/11
TI  - Research on Countermeasures of Bilingual Teaching Based on Dual Variable Control and Least Squares Method
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 345
EP  - 349
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.73
DO  - 10.2991/msie-13.2013.73
ID  - Zhang2013/11
ER  -