Design And Implementation Of Big Data Analysis System For Primary School Chinese Recitation

With the widespread application of cloud computation technology in academia and industry,cloud computation technology is able to provide more powerful computing capabilities and support the application of big data analysis technology comparing with traditional local computation.Because big data analysis methods have huge technical advantages over traditional analysis methods in the cases of huge amounts of data and uneven sample distribution,various areas of different industries have begun to apply big data technologies to processing and analyzing related data.Among those areas,how to use big data technology to improve the teaching level of the education has become a hot research direction.In the current Chinese education in primary schools,the teaching work of teachers is very heavy,and it is difficult to achieve personalized guidance for each student by the manpower of teachers only.Teachers often fail to visualize and personalize the problems quickly and accurately that arise in Chinese teaching when they carry out analysis work spontaneously.Among them,the teachers' tasks of Chinese education in the lower grades are still in the stage of training students to recognize and read Chinese characters.Errors and deviations in pronunciation of Chinese characters in lower grades are often different.Teachers are required to provide personalized education services.This paper selects text recitation in primary school Chinese education as a breakthrough point,it combines big data analysis technology,software engineering methods and corresponding analysis algorithms to complete a visual system analysis platform for primary language recitation.This system analyzes the students' recitation of Chinese poetry texts,and provides professional data analysis for teachers and students from the aspects of students' learning activities and teachers' educational activities,so that we achieve efficient and precise services to improve their learning and educational efficiency.The major parts of work in this paper is listed as follows:(1)This paper analyzes the research background and significance of the chosen topic and summarized the domestic and foreign current research circumstances of big data technology,cloud computing technology and natural language processing technology.(2)This paper aims at the problem which the current speech recognition technology is mainly for daily conversations,the accuracy of recognition of Chinese poetry cannot indicate the language educational problems.This paper combines Iflytech opensource platform speech recognition technology,adds pinyin recognition to dynamically modify the results of poetry recognition and it is based on a Brute Force algorithm.This algorithm was designed to accurately compare and analyze the poetry recitation and original text of the students' recitations,so as to meet the needs for accuracy and efficiency of poem recitation recognition in Chinese education.(3)This paper analyzes the characteristics and requirements of primary school Chinese recitation,design system functions based on cloud computation and big data analysis technologies,and implements the system with tools such as Spring Boot,Echarts and Java FX.And it generates analysis students' recitation reports for teachers' and other users',so they can improve language education based on those reports,and it also generates personalized guidance for each student separately based on the analysis reports,and provides data supports for improvements of teachers' course plans simultaneously.