Application of BD Analysis Technology in the Construction of WeChat Public Platform for Business English Learning

Jie Liu
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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.
BD分析技术在商务英语微信公众平台建设中的应用
外贸环境日益复杂、行业准入门槛逐步提高、信息技术普及等新现象、新问题的出现,对外贸企业的人才提出了更高的要求。目前,外贸企业员工BE能力不强所导致的视野狭窄、市场开发能力薄弱等问题,已经严重影响了外贸企业的生存和发展。本文在对BD分析(BDA)技术相关理论研究的基础上,分析了该技术在商务英语(BE)学习微信公共平台(WCPP)建设中的应用,分析了其作用机制,探讨了BE知识体系学习的机制。WCPP以其操作简单、实时交互方便、资源存储和共享多样化等特点,在众多新媒体中脱颖而出,为BE学习提供了一个全新的教与学平台。本文以WCPP的研究为出发点,通过文献综述、实践、控制实验等方法,分析了WCPP在BE学习中的应用优势。最终研究结果表明,BE学习WCPP的oa数量分别为63、82、59、41和75个。相应的BE学习WCPP构建完善度分别为85.7%、86.1%、82.9%、84.8%和88.3%。表明该方案具有一定的可行性和推广应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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