{"title":"韩国在线教育评估研究趋势分析","authors":"Daeil Jeon","doi":"10.33645/cnc.2023.11.45.11.65","DOIUrl":null,"url":null,"abstract":"This paper attempted to examine the part of the evaluation of online Korean language education that took place during the pandemic when non-face-to-face classes were activated and to identify the trends and trends of research at the same time. Research on online Korean language education evaluation began in 2006, when the influx of foreigners was active, and various big data analysis methods were used to draw conclusions and gain insight into educational research trends. 88 academic papers were searched through the RISS (Research Information Sharing Service), and the extracted word parts were limited to nouns, and frequency analysis, centrality analysis (degree centrality, close centrality, betweenness centrality), and topic modeling were conducted to derive results and discuss them.","PeriodicalId":214583,"journal":{"name":"The Korean Society of Culture and Convergence","volume":"334 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research Trend Analysis on Assessment of Online Korean Education\",\"authors\":\"Daeil Jeon\",\"doi\":\"10.33645/cnc.2023.11.45.11.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper attempted to examine the part of the evaluation of online Korean language education that took place during the pandemic when non-face-to-face classes were activated and to identify the trends and trends of research at the same time. Research on online Korean language education evaluation began in 2006, when the influx of foreigners was active, and various big data analysis methods were used to draw conclusions and gain insight into educational research trends. 88 academic papers were searched through the RISS (Research Information Sharing Service), and the extracted word parts were limited to nouns, and frequency analysis, centrality analysis (degree centrality, close centrality, betweenness centrality), and topic modeling were conducted to derive results and discuss them.\",\"PeriodicalId\":214583,\"journal\":{\"name\":\"The Korean Society of Culture and Convergence\",\"volume\":\"334 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Korean Society of Culture and Convergence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33645/cnc.2023.11.45.11.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Korean Society of Culture and Convergence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33645/cnc.2023.11.45.11.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文试图研究大流行期间非面授课程启动时的在线韩国语教育评价部分,并同时明确研究的趋势和动向。关于在线韩国语教育评价的研究始于外国人涌入活跃的 2006 年,本文采用了各种大数据分析方法,以得出结论并洞察教育研究趋势。通过RISS(Research Information Sharing Service,研究信息共享服务)检索了88篇学术论文,提取的词部仅限于名词,并进行了词频分析、中心性分析(度中心性、近中心性、间中心性)和主题建模,得出结果并进行讨论。
Research Trend Analysis on Assessment of Online Korean Education
This paper attempted to examine the part of the evaluation of online Korean language education that took place during the pandemic when non-face-to-face classes were activated and to identify the trends and trends of research at the same time. Research on online Korean language education evaluation began in 2006, when the influx of foreigners was active, and various big data analysis methods were used to draw conclusions and gain insight into educational research trends. 88 academic papers were searched through the RISS (Research Information Sharing Service), and the extracted word parts were limited to nouns, and frequency analysis, centrality analysis (degree centrality, close centrality, betweenness centrality), and topic modeling were conducted to derive results and discuss them.