Construction and Evaluation Method of College Teaching Quality Evaluation System Based on Hadoop
In order to ensure the objectivity,systematicness and comprehensiveness of college teaching quality evaluation,we propose to use big data to comprehensively serve education,and build an evaluation system based on Hadoop.On the basis of Hadoop distributed architecture,it is proposed to use distributed algorithms to evaluate all aspects of college teaching quality.The system mainly evaluates the college teaching quality from four aspects:school management quality,teachers'teaching process,students'learning behavior and academic quality.It is divided into data access layer,business logic layer and presen-tation layer from bottom to top.Each functional subsystem adopts modular design.According to the characteristics of different big data,the principal component analysis method is proposed to evaluate the big data of school management quality,and the distributed algorithm is used to evaluate teachers'teaching process,students'learning behavior and academic quality.When the amountof data is small,the traditional stand-alone algorithm runs more efficiently.When the amount of data is large(big data samples),the running time of the distributed algorithm will be significantly less than that of the stand-alone algorithm.With the increase of the amount of data,the advantage of running efficiency becomes more obvious.
college teaching qualityevaluation systemHadoopbig datadistributed algorithm
万方数据
维普
