{"title":"不同机构类型韩国大学形象投射的异同——大学校长信息的文本挖掘分析","authors":"S. Lee","doi":"10.1177/2212585X221140680","DOIUrl":null,"url":null,"abstract":"The study aimed to explore university presidents’ messages (PMs), which encompass missions, visions and strategies, to examine how Korean universities display their image in response to various stakeholders. Assuming the missions, visions and strategies vary according to the characteristics of universities, this study analysed the PMs according to institutional types: (1) public and private universities; (2) metropolitan and local universities; and (3) top-ranked and mid-to low-ranked universities. This study collected 105 PMs from Korean universities on a large scale and applied a text mining analysis to calculate the frequencies of keywords, draw word clouds, analyse the degree of centrality of keywords and examine bigrams across university types. The results showed that Korean universities project their images in a relatively homogenous way, but there are differences in the ways universities project their images between public and private universities, metropolitan and local universities, and top-ranked and mid-to low-ranked universities.","PeriodicalId":37881,"journal":{"name":"International Journal of Chinese Education","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Similarities and differences in image projection of Korean universities across institutional types: A text mining analysis of university president messages\",\"authors\":\"S. Lee\",\"doi\":\"10.1177/2212585X221140680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study aimed to explore university presidents’ messages (PMs), which encompass missions, visions and strategies, to examine how Korean universities display their image in response to various stakeholders. Assuming the missions, visions and strategies vary according to the characteristics of universities, this study analysed the PMs according to institutional types: (1) public and private universities; (2) metropolitan and local universities; and (3) top-ranked and mid-to low-ranked universities. This study collected 105 PMs from Korean universities on a large scale and applied a text mining analysis to calculate the frequencies of keywords, draw word clouds, analyse the degree of centrality of keywords and examine bigrams across university types. The results showed that Korean universities project their images in a relatively homogenous way, but there are differences in the ways universities project their images between public and private universities, metropolitan and local universities, and top-ranked and mid-to low-ranked universities.\",\"PeriodicalId\":37881,\"journal\":{\"name\":\"International Journal of Chinese Education\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Chinese Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/2212585X221140680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Chinese Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/2212585X221140680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Similarities and differences in image projection of Korean universities across institutional types: A text mining analysis of university president messages
The study aimed to explore university presidents’ messages (PMs), which encompass missions, visions and strategies, to examine how Korean universities display their image in response to various stakeholders. Assuming the missions, visions and strategies vary according to the characteristics of universities, this study analysed the PMs according to institutional types: (1) public and private universities; (2) metropolitan and local universities; and (3) top-ranked and mid-to low-ranked universities. This study collected 105 PMs from Korean universities on a large scale and applied a text mining analysis to calculate the frequencies of keywords, draw word clouds, analyse the degree of centrality of keywords and examine bigrams across university types. The results showed that Korean universities project their images in a relatively homogenous way, but there are differences in the ways universities project their images between public and private universities, metropolitan and local universities, and top-ranked and mid-to low-ranked universities.
期刊介绍:
The International Journal of Chinese Education (IJCE) is a result of the collaboration between Brill Academic Publishers and the Institute of Education at Tsinghua University. It aims to strengthen Chinese academic exchanges and cooperation with other countries in order to improve Chinese educational research and promote Chinese educational development. Through collaboration among scholars in and outside of China who are dedicated to the investigation of Chinese education, this journal aims to raise Chinese educational research levels, further recognize and solve Chinese educational problems, inform Chinese educational policies and decisions, and promote Chinese educational reform and development. This journal welcomes empirical as well as theoretical studies on particular educational issues and/or policies.