{"title":"Using Artificial Intelligence-based Online Translation Website to improve the Health Education in International Students","authors":"Tao Jiang, Wenqin Li, Jiashu Wang, Xinguo Wang","doi":"10.1109/ICAIE53562.2021.00012","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to test the feasibility of using AI-based online translation tools in health management education to determine its effect on improving health management education. Several of the current mainstream online translation tools for translating English literature related to health management education have been tested. The knowledge of health management translated by the online translation tool is translated into the mother tongue for the evaluation of the students’ cognitive ability of the relevant knowledge. The online questionnaire was used to provide feedback on students’ understanding and mastery of health management knowledge translated into their native language. The mainstream online translation tools already allow students to translate basic health education materials into their native language. The mainstream translation tools with the assistance of artificial intelligence can achieve high accuracy in the translation of short sentences in health education materials. The results show that the online translation of health education materials from non-native language to native language can basically enable students to obtain the correct understanding of health education materials. Of course, converting long sentences in health education materials into short sentences to improve the accuracy of intelligent translation tools can effectively improve the cognitive effect. Future research could further validate the AI-assisted learning of health education materials in non-native languages.","PeriodicalId":285278,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIE53562.2021.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The purpose of this study is to test the feasibility of using AI-based online translation tools in health management education to determine its effect on improving health management education. Several of the current mainstream online translation tools for translating English literature related to health management education have been tested. The knowledge of health management translated by the online translation tool is translated into the mother tongue for the evaluation of the students’ cognitive ability of the relevant knowledge. The online questionnaire was used to provide feedback on students’ understanding and mastery of health management knowledge translated into their native language. The mainstream online translation tools already allow students to translate basic health education materials into their native language. The mainstream translation tools with the assistance of artificial intelligence can achieve high accuracy in the translation of short sentences in health education materials. The results show that the online translation of health education materials from non-native language to native language can basically enable students to obtain the correct understanding of health education materials. Of course, converting long sentences in health education materials into short sentences to improve the accuracy of intelligent translation tools can effectively improve the cognitive effect. Future research could further validate the AI-assisted learning of health education materials in non-native languages.