Research And Application Of Student Evaluation Of Teaching With Big Data Technology

The purpose of establishing the system is to find a solution to the current situation according to the actual needs of students and the teaching requirements of teachers,so as to improve the teaching level of teachers and improve the quality of school education and teaching.It is the trend of the development of modern society to apply the means of networking and information to the improvement of the student evaluation and teaching system,which can optimize the system to the greatest extent and effectively meet the needs of all aspects,and has important theoretical and practical significance.This paper uses data fusion technology to collect evaluation data about teacher information from multiple channels,and uses data mining technology to analyze data.The purpose is to obtain the association rules between teachers' information and their evaluation results,so as to explore its core issues.This article mainly does the following work:(1)In terms of information collection,the common web crawler lacks intelligence and initiative,and the data retrieval time is long,the information is easy to overlap,and the information is incomplete.This paper proposes a Web crawler optimization and planning optimization scheme based on PageRank value.The best priority crawler architecture is adopted,and the improved PageRank value,user demand correlation degree,and NDC denoising information are added to improve and optimize the structure.By using music data evaluation by example,the improved U-PageRank combined with NDC's URL extraction algorithm and several mainstream classification algorithms are cross-contrast experiments to verify the effectiveness of the proposed algorithm.The combination of web crawler technology and natural language processing technology is applied to the collection and preprocessing of student evaluation data.The purpose is to obtain the key factors that affect the comprehensive evaluation results of teachers,so as to analyze the data in the next step.(2)In terms of data processing,the traditional Eclat algorithm lacks a priori,and there are problems such as insufficient memory and a large amount of time when screening frequent itemsets.This paper proposes an Eclat' algorithm based on association rules.By adding a breadth-first algorithm,the number of candidate sets generated by frequent sets of self-joining intersections is reduced,so as to reduce operation running time and improve algorithm operation efficiency.Using the real evaluation sample,the comparison experiment with the original algorithm is carried out according to the data volume classification.It is concluded that the support degree and the data volume are the key factors affecting the efficiency of the algorithm,and the effectiveness of the improved algorithm is demonstrated.Applying it to the analysis and mining of evaluation data is conducive to finding problems and solving problems.(3)For data fusion processing,in order to solve the problem of information unreality,over idealization,and imperfect update mechanism.According to the selected keyword information,the collected data collected from the network and the real evaluation data stored in the school educational system are combined,and the above comprehensive technology is applied to analyze the data,so as to analyze the professional development of the teacher from an objective perspective and improve the teaching evaluation.Teaching system.This paper deeply analyzes the root causes of related problems.Based on the above analysis,the following suggestions are made on the improvement of the student evaluation system:First,the school should adjust the structure of the teaching staff,improve the system of job title selection,and encourage participation in practical research projects to improve the teachers' own level and the quality of school teaching.Second,in the academic research,the backbone teachers drive young teachers to make continuous progress,so as to achieve the goal of improving the teaching level.Third,aiming at the classification design index system for different disciplines,scientifically and rationally improve the evaluation and assessment form to make it more flexible and humanized.Fourth,organize experts,students,teachers and other joint research,the overall setting should pay attention to teaching attitude,teaching content,teaching methods,teaching methods and teaching effects,and divide the weight according to the focus.