Research On The Construction Of Composition Correction Mode In Middle School Combining Intelligence And Artificial

All along,writing teaching is an important part of Chinese teaching in middle school.Composition correction is of great significance to both teachers and students,but the traditional composition correction has become a big problem for Chinese teachers.In the era of artificial intelligence and big data,many traditional models and educational concepts have been affected.Composition correction should keep pace with the times.It is an irresistible trend to apply artificial intelligence technology to middle school composition reform.This article summarizes and summarizes the experience of middle school composition reform in recent years,as well as the understanding and research on the development of artificial intelligence technology under the background of big data,and can sort and compare the results of the current middle school composition review mode,and find that existing models exist Insufficiency,points out the areas that need to be updated and improved,and provide a theoretical basis for the construction of a new round of middle school composition correction mode.The discussion mainly starts from the following aspects:The introduction focuses on the source background and theoretical basis of the subject research,introduces the purpose and significance of the research,summarizes the research methods and ideas,and sorts out the domestic and foreign research results on essay correction and artificial intelligence.The first chapter studies the traditional mode of composition correction,puts forward problems for reflection,which is mainly divided into three parts: the overview of middle school composition correction;the existing problems and causes of traditional composition correction;the optimization mode of composition correction.The second chapter,the construction of intelligent marking and manual marking mode,mainly divided into three parts: the implementation process of marking mode;the establishment of quantitative archives of composition;the research value of marking mode.In the third chapter,the existing intelligent system of composition correction is studied,which is mainly divided into three parts: the related research of intelligent system of composition correction;the comparative research of traditional mode of composition correction;the prospect of future composition correction.The fourth chapter analyzes and studies the possible problems and countermeasures in the practical application of the new correcting model,which is mainly divided into three parts: the role orientation of Chinese teachers;The risks of students using the Internet;Support updates for core technologies.The conclusion is mainly divided into two parts: the experience of constructing the model of middle school composition correction;The development vision of middle school composition teaching reform in the era of big data.This article uses the literature method,interview method,and questionnaire survey method to extract the current development status of composition teaching in middle schools,find outstanding problems in the correction process,and collect opinions and opinions of teachers,middle school students,and parents of the combination of intelligent correction and manual correction.The suggestion is to accumulate user needs and application foundations for the new composition correction mode under the background of big data,provide solid and systematic theoretical support for the analysis,interpretation and summary of this topic,and also improve the pertinence and feasibility of construction research.This article advocates the integration of information technology and traditional teaching,analyzes the characteristics and disadvantages of traditional composition correction,expounds the role and advantages of intelligent correction,and mainly studies the construction of a new teaching model combining intelligent correction and manual correction,which can be better and faster.The development of the reform of middle school composition teaching.