Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)

An Empirical Study on Teaching Strategies of Chinese Classifiers under Multicultural Background

Authors
Yanan Gao, Hongfei Liu
Corresponding Author
Yanan Gao
Available Online May 2018.
DOI
https://doi.org/10.2991/sser-18.2018.75How to use a DOI?
Keywords
Classifiers’ teaching; Multiculturalism; Universality introduction; Empirical research
Abstract

Based on the universalities of the world languages and the general cognitive characteristics of human beings, the paper explores the effective teaching strategies of Chinese classifiers. It proposes that put measure words as the teaching point of Chinese classifiers, takes the shape feature as the breakthrough and important parameter of classifiers’ matching motivation, and adopts "source - prototype association " teaching strategy to the complex semantic classifiers. Experiments show that those strategies are effective teaching methods for foreign students to learn Chinese classifiers.

Copyright
© 2018, 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 2018 8th International Conference on Social science and Education Research (SSER 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2018
ISBN
10.2991/sser-18.2018.75
ISSN
2352-5398
DOI
https://doi.org/10.2991/sser-18.2018.75How to use a DOI?
Copyright
© 2018, 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  - Yanan Gao
AU  - Hongfei Liu
PY  - 2018/05
DA  - 2018/05
TI  - An Empirical Study on Teaching Strategies of Chinese Classifiers under Multicultural Background
BT  - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
PB  - Atlantis Press
SP  - 357
EP  - 361
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-18.2018.75
DO  - https://doi.org/10.2991/sser-18.2018.75
ID  - Gao2018/05
ER  -