Survey on the Language Attitudes of Young Students of Ethnic Minorities in Guangxi Border

Hui Chen, Xianze Wu

2022

Abstract

Language use is not only a reflection of language ability, but also a reflection of language attitudes. In this paper, big data method is adopted. The adopted instruments include SPSS software, Matlab, SAS, Python software. The questionnaire method is adopted to investigate and analyze the language attitude of young students in the border areas of Guangxi from the perspective of emotion and cognition. Emotionally, most people think that Mandarin is as friendly and pleasant as dialects; They consider dialects convenient and practical, while Mandarin facilitates communication. Cognitively, they have a general sense of identification with Putonghua and believe that Putonghua has greater development potential; They also attach great importance to dialects, but believe that dialects can only be developed within a certain range.

Paper Citation

in Harvard Style

Chen H. and Wu X. (2022). Survey on the Language Attitudes of Young Students of Ethnic Minorities in Guangxi Border. In Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME; ISBN 978-989-758-630-9, SciTePress, pages 173-177. DOI: 10.5220/0011908400003613

in Bibtex Style

@conference{nmdme22,
author={Hui Chen and Xianze Wu},
title={Survey on the Language Attitudes of Young Students of Ethnic Minorities in Guangxi Border},
booktitle={Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME},
year={2022},
pages={173-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011908400003613},
isbn={978-989-758-630-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME
TI - Survey on the Language Attitudes of Young Students of Ethnic Minorities in Guangxi Border
SN - 978-989-758-630-9
AU - Chen H.
AU - Wu X.
PY - 2022
SP - 173
EP - 177
DO - 10.5220/0011908400003613
PB - SciTePress