{"title":"Problems and Doctrine: Learning Situation Analysis and Application Research of Virtual Teaching from the Perspective of Artificial","authors":"Haiyan Li","doi":"10.1145/3568739.3568785","DOIUrl":null,"url":null,"abstract":"Virtual teaching is an inevitable trend of informatization and intelligence of school education in the era of artificial intelligence. In response to the current high-incidence stage of the epidemic, the Ministry of Education has put forward the requirement of \"suspending classes without stopping school, and without extension of teaching\", which highlights the advantages of virtual teaching. Through in-depth practice and research, it is found that there is a \"distortion\" phenomenon in the teaching process and assessment results. Through the practice, combing and research of virtual teaching under the epidemic situation in recent years, comprehensively consider the interaction data between teachers and students, and students and students in the teaching process before, during and after class, and expound the remaining problems of virtual teaching. The analysis of learning situation before, during and after class, put forward effective teaching design to deal with \"distorted\" virtual teaching, and construct a new teaching process structure design idea, so as to construct the structure of educators, teaching resources, teaching environment, teaching data, and students. An efficient virtual teaching dynamic generation and development system composed of educators and other elements.","PeriodicalId":200698,"journal":{"name":"Proceedings of the 6th International Conference on Digital Technology in Education","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Digital Technology in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568739.3568785","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
Virtual teaching is an inevitable trend of informatization and intelligence of school education in the era of artificial intelligence. In response to the current high-incidence stage of the epidemic, the Ministry of Education has put forward the requirement of "suspending classes without stopping school, and without extension of teaching", which highlights the advantages of virtual teaching. Through in-depth practice and research, it is found that there is a "distortion" phenomenon in the teaching process and assessment results. Through the practice, combing and research of virtual teaching under the epidemic situation in recent years, comprehensively consider the interaction data between teachers and students, and students and students in the teaching process before, during and after class, and expound the remaining problems of virtual teaching. The analysis of learning situation before, during and after class, put forward effective teaching design to deal with "distorted" virtual teaching, and construct a new teaching process structure design idea, so as to construct the structure of educators, teaching resources, teaching environment, teaching data, and students. An efficient virtual teaching dynamic generation and development system composed of educators and other elements.