Design And Implementation Of Public Service Accounts For Middle School Chinese Microclass Based On Android Platform

Middle school Chinese micro classroom official account is developed in or der to adapt to the needs of the new curriculum reform of secondary education,the Chinese teaching "elegance · reciting",classical Chinese reading,"yue duhui" and other characteristics of middle school Chinese activities integration,the existing Chinese fixed end network teaching function migration to the android system.As a beneficial supplement to teaching methods,micro-classroom is a new teaching attempt.However,its value is difficult to measure by simple academic achievements.How to scientifically judge the influence of micro classroom on Chinese teaching in middle schools has become a new subject.Therefore,this paper introduces clustering algorithm to judge the influence of micro classroom on teaching effect.At the same time,the existing evaluation algorithm based on k-means clustering has some problems,such as small scope of application,slow convergence speed and relative dispersion of population fitness.Therefore,this paper optimizes the algorithm.The main work of this paper is as follows:First,in view of the shortcomings of the existing k-means algorithm for evaluating the effect of the new curriculum reform,the genetic algorithm is introduced to enhance the global search ability of the clustering center,so as to improve the existing clustering algorithm.The advantage of the new algorithm is that the population fitness of the genetic algorithm can be adjusted by Pc and Pm.When the fitness of the population is controlled within a reasonable range,the new algorithm can not only accelerate the elimination of cross individu als,but also improve the speed of searching for the optimal individuals.The optimized algorithm can effectively avoid the negative impact of the initial clustering center on the clustering results.Second,on the micro-classroom platform,although the platform has collected a large number of learning behavior data,the data granularity is coarse,which can only provide support for the improvement of macro teaching design.In this paper,the new algorithm is applied to the teaching effect analysis process of middle school students under the professional development module of micr o-classroom teachers.The existing data granularity is further refined,and the it erative feedback mechanism of fine-grained data within the semester and during the study period is realized through GA iterative algorithm,so as to extract micro-classroom teaching problems and rules at the micro level.Thirdly,this paper has realized the management of characteristic teaching activities in the new curriculum reform,the management of micro-classroom tea ching resources,the professional development of micro-classroom teachers and other characteristic teaching activities.This paper takes the development of We Chat public account as the technical background and combines with the relevant research of Chinese teaching public account in middle school.The development and application of clustering recommendation algorithm combined with system function module is rare and has certain application value.At the same time,the literature on the data mining of micro-classroom teaching quality in junior middle school is rare.This paper proves the reliability of the public account system and the advantages of the algorithm through system test and algorithm comparison experiment.