Design And Implementation Of Intelligent English Word Teaching Platform Based On Serverless Architecture

In recent years,with the rapid development of online education technology and the "Education Informatization 2.0 Action Plan",the construction of education informatization has entered the 2.0 era.Especially after the double reduction policy was proposed,the in-school education and teaching of compulsory education stage is facing many new opportunities and challenges,and how to improve the level of informationization and intelligence of in-school education and teaching of compulsory education stage has become a problem that educators must consider at present.Taking the English word teaching in elementary school as the research object,we designed and implemented an intelligent English word teaching platform that meets the learning characteristics of elementary school students based on the memory characteristics of the brain and the requirements of English word teaching in elementary school.We used Scrapy crawler technology to realize a web crawler that crawls the corresponding entries of Baidu Encyclopedia and converts them into structured data according to the words of elementary school English textbooks,and used D2 RQ and Neo4 J to build and implement a knowledge map of elementary school English words.On the basis of the primary English word knowledge map,the associative word association method was designed.Finally,in order to improve the message aggregation efficiency and system scalability of the intelligent English word teaching platform,a message aggregation mechanism based on Serverless architecture is designed.The designed intelligent English word teaching platform was functionally tested according to user requirements.The platform can assist teachers to associate English words in elementary school level for teaching,help students to establish the association relationship between words,fill the gap of students’ knowledge,and improve students’ learning efficiency.