{"title":"Application of BD Analysis Technology in the Construction of WeChat Public Platform for Business English Learning","authors":"Jie Liu","doi":"10.1109/ICKECS56523.2022.10060323","DOIUrl":null,"url":null,"abstract":"The emergence of new phenomena and new problems such as the increasingly complex foreign trade environment, the gradual increase in industry access thresholds, and the popularization of information technology have put forward higher requirements for foreign trade enterprises' talents. At present, the problems of narrow vision and weak market development ability caused by the weak BE ability of employees in foreign trade enterprises have seriously affected the survival and development of foreign trade enterprises. Based on the relevant theoretical research of BD analysis(BDA) technology, this paper analyzes the application of this technology in the construction of WeChat public platform(WCPP) for business English(BE) learning, analyzes its mechanism of action, and discusses the mechanism of BE knowledge system learning. The WCPP stands out among many new media because of the simplicity of operation, the convenience of real-time interaction, and the diversification of resource storage and sharing, providing a new teaching and learning platform for BE learning. This paper takes the research of WCPP as the starting point, and analyzes the application advantages of WCPP in BE learning by methods such as literature review, practice, and control experiments. The final results of the research show that the number of OAs of the WCPP for BE learning is 63, 82, 59, 41 and 75 respectively. The corresponding degrees of perfection in the construction of the WCPP for BE learning are 85.7%, 86.1%, 82.9%, 84.8% and 88.3%, respectively. It shows that the scheme has certain feasibility and popularization and application value.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICKECS56523.2022.10060323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The emergence of new phenomena and new problems such as the increasingly complex foreign trade environment, the gradual increase in industry access thresholds, and the popularization of information technology have put forward higher requirements for foreign trade enterprises' talents. At present, the problems of narrow vision and weak market development ability caused by the weak BE ability of employees in foreign trade enterprises have seriously affected the survival and development of foreign trade enterprises. Based on the relevant theoretical research of BD analysis(BDA) technology, this paper analyzes the application of this technology in the construction of WeChat public platform(WCPP) for business English(BE) learning, analyzes its mechanism of action, and discusses the mechanism of BE knowledge system learning. The WCPP stands out among many new media because of the simplicity of operation, the convenience of real-time interaction, and the diversification of resource storage and sharing, providing a new teaching and learning platform for BE learning. This paper takes the research of WCPP as the starting point, and analyzes the application advantages of WCPP in BE learning by methods such as literature review, practice, and control experiments. The final results of the research show that the number of OAs of the WCPP for BE learning is 63, 82, 59, 41 and 75 respectively. The corresponding degrees of perfection in the construction of the WCPP for BE learning are 85.7%, 86.1%, 82.9%, 84.8% and 88.3%, respectively. It shows that the scheme has certain feasibility and popularization and application value.