Qianqian Chen
College of Literature, Xi’an Siyuan University, Xi’an, 710038, China

Abstract:

In order to improve the evaluation efficiency of aesthetic education curriculum quality and improve the evaluation effect of aesthetic education curriculum quality, this paper proposes to introduce big data analysis technology to evaluate the quality of aesthetic education curriculum. Firstly, this paper analyzes the current situation of aesthetic teaching quality evaluation in Colleges and universities at home and abroad, uses MapReduce for data analysis, saves back the relational database through sqoop, obtains the aesthetic education curriculum quality association rules based on data mining, calculates the aesthetic education curriculum quality evaluation weight through analytic hierarchy process, and uses Lagrange multiplication to solve it, Obtain the comprehensive weight value of aesthetic education curriculum quality evaluation, and realize the aesthetic education curriculum quality evaluation through distributed data mining algorithm. The experimental results show that the accuracy of aesthetic education curriculum quality evaluation is only 99%, the time of aesthetic education curriculum quality evaluation is only 1.7s, and the error of aesthetic education curriculum quality evaluation is only 1.2%; It shows that this method can effectively improve the evaluation effect of aesthetic education curriculum quality.

Keywords:MapReduce; Data mining algorithm; Comprehensive weight value; Lagrange multiplication