Using ROST CM 6.0 to Analyse the Use of Chinese and English for Psychology Identity Construction among Chinese University Students

DOI

10.2991/978-94-6463-058-9_122How to use a DOI?

Keywords

Chinese and English; RostCM 6.0; co-occurrence matrix word lists; big data; college students; language teaching; social network analysis; semantic network analysis

ABSTRACT

The roles that the two languages play in shaping the identity and character of language learners are also worthwhile studying. This study focused on the relationship between language and culture, and between language and speakers to let language teaching be more efficient. Using semi-structured interviews, this article explored Chinese university students' perceptions of their use of Chinese and English. Six Chinese university students, who studied at Chinese-medium universities in China (n = 2), English-medium universities in China (n = 2) and English-medium universities in English speaking countries (n = 2), came up with different perceptions of Chinese and English. ROST CM 6 is a social computing platform developed and coded by Wuhan University to aid research in the humanities and social sciences. Using ROST CM 6's word separation function and social and semantic network analysis, can obtain the high frequency word lists, line feature word lists and co-occurrence matrix word lists of interview transcripts, resulting in a network graph of interview transcripts. By analysis the social network and semantic network analysis diagram, the finding shows more cultural information of a language in the teaching of the language may help language learners to understand the unique cultural background of the language and learn the language. Therefore, the study contributes to the developing English education in China.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Haochen Wang
PY  - 2022
DA  - 2022/12/27
TI  - Using ROST CM 6.0 to Analyse the Use of Chinese and English for Psychology Identity Construction among Chinese University Students
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 778
EP  - 785
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_122
DO  - 10.2991/978-94-6463-058-9_122
ID  - Wang2022
ER  -